We are a technology-enabled logistics platform dedicated to supporting you with optimized and cost-effective deliveries!

pickupp

HackerNoon launches our long-awaited offering: Technology Press Releases with HackerNoon! You can now leverage HackerNoon’s distribution engine to share your press releases! Leveraging prominent onsite and newsletter distribution, owned and paid social media, traditional media press release pickup, and machine learning-generated translations, HackerNoon now averages 5k readers per press release. Visit our Technology Press Releases home page to learn more. The introductory prices start at $750 per release, and bulk discounts are available. There is no expiration date for your Press Release credits. Avail the Introductory Pricing for Your Press Release Now. Why Publish Your Company’s Technology Press Releases with HackerNoon? Great question. Here are not one but 8 reasons why: Technical Achievements Are Best Hosted with a Technical Audience HackerNoon is the go-to tech news and learning platform for millions of technologists. Our library of 100k+ technology stories attracts 3M+ monthly visitors. See below the data gathered from 1k+ job titles entered via HackerNoon.com in Q1 2024. Accessibility: Translated into 12 Languages, 2 Audio Files, and Backed Up on the Blockchain HackerNoon makes content more accessible to increase audience size. Via machine learning models from OpenAI, Google, & others, we translate your story into 12+ languages, 2 audio files and back it up on the Arweave blockchain for good measure. Distribution Across HackerNoon and Around the Web Via owned and paid social media, traditional media like press releases, machine learning generated translations, and the creation and distribution of the audio story, HackerNoon maximizes technology readership. Creating an Average of 5k Readers Per Press Release We’ve used the traditional press release services, and they usually get just a couple hundred readers per story. Sometimes even less. When you publish your technology press release on HackerNoon, you should expect ~5k readers. Republished on the Wire to 100+ Traditional Media Sites Just like the traditional press release wire services, we put your story on the wire. You should expect your technology press release to be re-published to ~100 more sites, such as Benzinga, Digital Journal, Yahoo Finance, and The AP. Prominent Distribution Across the HackerNoon Site, App, and Newsletter Technology Press Releases on HackerNoon are featured on the Homepage, the Category Page, 8 Tagged Pages, 12 Translation Homepages, the Mobile App, the Terminal App, the Lite Version, and the Noonification Newsletters (250k+ subscribers). Easy Content Uploading and Formatting with Staff Support We hate how difficult it is to upload content to archaic press release distribution services. The HackerNoon uploader and story editor are smooth AF. We also accept your submissions via unlisted link like Google doc or even a URL like your pressroom. 1 Business Day Turnaround Time (TAT) and Professional Editorial Support Technology press releases are timely content. Our editorial and support staff guarantee one business day turnaround time. HackerNoon is here to make sure your story gets distributed on time. Book a meeting with us to learn how Octopus Network, KucCoin Community Chain, Avalanche, ICON Foundation, and other tech companies publish their press releases with HackerNoon. HackerNoon launches our long-awaited offering: Technology Press Releases with HackerNoon! You can now leverage HackerNoon’s distribution engine to share your press releases! Leveraging prominent onsite and newsletter distribution, owned and paid social media, traditional media press release pickup, and machine learning-generated translations, HackerNoon now averages 5k readers per press release. Visit our Technology Press Releases home page to learn more. Technology Press Releases home page The introductory prices start at $750 per release , and bulk discounts are available. There is no expiration date for your Press Release credits. $750 per release Avail the Introductory Pricing for Your Press Release Now. Avail the Introductory Pricing for Your Press Release Now. Avail the Introductory Pricing for Your Press Release Now. Why Publish Your Company’s Technology Press Releases with HackerNoon? Great question. Here are not one but 8 reasons why: Technical Achievements Are Best Hosted with a Technical Audience HackerNoon is the go-to tech news and learning platform for millions of technologists. Our library of 100k+ technology stories attracts 3M+ monthly visitors. See below the data gathered from 1k+ job titles entered via HackerNoon.com in Q1 2024. HackerNoon.com Accessibility: Translated into 12 Languages, 2 Audio Files, and Backed Up on the Blockchain HackerNoon makes content more accessible to increase audience size. Via machine learning models from OpenAI, Google, & others, we translate your story into 12+ languages, 2 audio files and back it up on the Arweave blockchain for good measure. Distribution Across HackerNoon and Around the Web Via owned and paid social media, traditional media like press releases, machine learning generated translations, and the creation and distribution of the audio story, HackerNoon maximizes technology readership. Creating an Average of 5k Readers Per Press Release We’ve used the traditional press release services, and they usually get just a couple hundred readers per story. Sometimes even less. When you publish your technology press release on HackerNoon, you should expect ~5k readers. Republished on the Wire to 100+ Traditional Media Sites Just like the traditional press release wire services, we put your story on the wire. You should expect your technology press release to be re-published to ~100 more sites, such as Benzinga, Digital Journal, Yahoo Finance, and The AP. Prominent Distribution Across the HackerNoon Site, App, and Newsletter Technology Press Releases on HackerNoon are featured on the Homepage, the Category Page, 8 Tagged Pages, 12 Translation Homepages, the Mobile App, the Terminal App, the Lite Version, and the Noonification Newsletters (250k+ subscribers). Easy Content Uploading and Formatting with Staff Support We hate how difficult it is to upload content to archaic press release distribution services. The HackerNoon uploader and story editor are smooth AF. We also accept your submissions via unlisted link like Google doc or even a URL like your pressroom. 1 Business Day Turnaround Time (TAT) and Professional Editorial Support Technology press releases are timely content. Our editorial and support staff guarantee one business day turnaround time. HackerNoon is here to make sure your story gets distributed on time. Book a meeting with us to learn how Octopus Network , KucCoin Community Chain , Avalanche, ICON Foundation , and other tech companies publish their press releases with HackerNoon. Book a meeting with us Book a meeting with us Octopus Network Octopus Network KucCoin Community Chain KucCoin Community Chain ICON Foundation ICON Foundation

Publish Your Next Technology Press Release with HackerNoon

HackerNoon এর সাথে আপনার পরবর্তী প্রযুক্তি প্রেস রিলিজ প্রকাশ করুন!

Veröffentlichen Sie Ihre nächsten Technologie-Pressemitteilungen mit HackerNoon!

¡Publique sus próximos comunicados de prensa sobre tecnología con HackerNoon!

Publiez vos prochains communiqués de presse technologiques avec HackerNoon !

HackerNoon के साथ अपनी अगली प्रौद्योगिकी प्रेस विज्ञप्ति प्रकाशित करें!

次回のテクノロジー プレス リリースを HackerNoon で公開しましょう。

HackerNoon으로 차세대 기술 보도 자료를 게시하세요!

Publique seus próximos comunicados de imprensa sobre tecnologia com HackerNoon!

Публикуйте пресс-релизы о своих новых технологиях с помощью HackerNoon!

Sonraki Teknoloji Basın Bültenlerinizi HackerNoon ile Yayınlayın!

Xuất bản Thông cáo báo chí về công nghệ tiếp theo của bạn với HackerNoon!

使用 HackerNoon 发布您的下一个技术新闻稿！

The Crash That Brought the Shadow to the Light. On the morning of July 5, 2017, a gray Toyota Camry turned into the cul-de-sac of a neighborhood in Bangkok in a subdivision on the western edge of the city. A driver makes a miscalculation on a 180-degree turn and accidentally causes a collision with a front gate on a model home and real estate office. The driver exits the vehicle obviously upset about the event and needs to speak with the owner of the model house about the accident. After a significant time elapsed, Alexander Caze surfaced from his home to discuss the collision at the front gate of his home. As Alexander Caze made his way to have the conversation with the person in the vehicle, the FBI stormed the property arresting Alexander Caze aka “Alpha02” aka “Admin online” the owner of the Dark Web marketplace AlphaBay. Riches to Wretchedness. Alexander Cazes was just 25 and the CEO of EBX Technologies, a company that offered website creation services for businesses. Or at least that is what Alexandre Cazes said when someone asked about his occupation. According to Cazes’s father, Alexandre was a computer genius who started his own web design business at 17, had a high IQ, AND specialized in everything from web development to encryption services. While still a teenager, Cazes was believed to have started his first company, EBX Technologies, selling computers and helping small businesses set up their websites. His IT presence was clear to see; authorities traced Alexandre as far back as 2008, posting advice on a tech forum on how to remove a virus from a digital photo. Cazes grew up near Montreal and his family said he was a genius. In the shadows, Alexandre was the alleged mastermind of AlphaBay. According to publicly available information on AlphaBay prior to its takedown, one AlphaBay staff member claimed that it serviced over 200,000 users and 40,000 vendors. Around the time of the takedown, there were over 250,000 listings for illegal drugs and toxic chemicals on AlphaBay, and over 100,000 listings for stolen and fraudulent identification documents and access devices, counterfeit goods, malware and other computer hacking tools, firearms, and fraudulent services. Comparatively, the Silk Road dark web marketplace, which was seized by law enforcement in November 2013, had reportedly approximately 14,000 listings for illicit goods and services at the time of seizure and was the largest dark web marketplace at the time. . All Wrongdoing can be Traced to an Excessive Attachment to Material Wealth Alexander Cazes biggest vulnerability turned out to be his penchant for bragging about his newly acquired wealth and status. Alexandre Cazes claimed his worth was about $23 million US, including $12.5 million in properties and vehicles, and the rest in cash and cryptocurrencies. Cazes's assets seized by the U.S. government included $6.6 million Cdn in Bitcoin, $2.4 million in Ethereum, $622,000 in Monero, and $980,512 in Zcash. He had at least 11 bank accounts and cryptocurrency exchange accounts registered in his name or his wife's name in Thailand, Liechtenstein, Switzerland, and St. Vincent and the Grenadines. Beyond cash, Cazes had a taste for luxury vehicles, including a 2013 Lamborghini Aventador, a Porsche Panamera, a Mini Cooper, and a BMW motorcycle. He had three properties in Bangkok, and a vacation property in Phuket, Thailand. Subtle Clues That Were Not So Subtle. Alexandre Cazes lived a seemingly quiet life for more than a year with his Thai girlfriend in a middle-class neighborhood on the outskirts of Bangkok, but the flashy cars he drove stood out. All in an area where people drive pickup trucks and children tool around on plastic tricycles, and there was the nearly $1 million, metallic gray Lamborghini, a Porsche, and then the Mini Cooper for his girlfriend. Nothing except expensive cars, which were completely out of place in the neighborhood where homes cost less than $120,000. The neighbors thought Alexandre Cazes worked in the hotel business. neighbor, who asked not to be named because the case involves crime, said Cazes rarely left the house before noon. She said she got her first good look at him one day when he was outside, trying to photograph a monitor lizard that had crawled out of a deserted field nearby. “We smiled at each other, that’s it,” she said. One Whispers in the Dark That Awoke a Giant. Alexandre Cazes believed that crypto’s anonymity would protect him but just as crypto had opened new markets for the criminal world, it opened up opportunities for law enforcement. According to U.S. government documents, Cazes had an estimated net worth of around $23 million. This wealth was diversified across real estate in Thailand, Cyprus, and Antigua, luxury cars, and liquid assets such as cash and cryptocurrencies. Specifically, $12.5 million was invested in properties and vehicles. At its height, daily sales ranged between $600,000 and $800,000 across 300,000 listings for illicit goods, offered by over 40,000 vendors and viewed by some 200,000 users. Alexadre’s activity with AlphBay led to a police operation shutdown called “Bayonet”, which involved authorities in six countries including the FBI, the Dutch National Police, and the Royal Thai Police. AlphaBay’s Simple Mistakes From a Brilliant Mind. Alexandre Cazes made mistakes and one was with his personal email. Once new users joined the forums and entered their private email accounts, they were greeted with an email directly from AlphaBay welcoming them to the forums. The email address “Pimp_Alex_91@hotmail.com” was included in the header information of the AlphaBay welcome email. Searches for that email led investigators to forum posts by accounts with the same online handle Cazes used on AlphaBay, Alpha02. They eventually tracked down Cazes’ full name and LinkedIn account, which listed him as affiliated with EBX Technology, a company that investigators suspected was a front for AlphaBay. Alexandre Cazes had registered a PayPal account tied to bank accounts held in his name as well as the EBX Technologies business name using the "Pimp_Alex_91@hotmail.com" email account. Also, in 2008 a post to a French-language online tech forum "www.commentcamarche.com" by user "Alpha02" included the name "Alexandre Cazes" and the Hotmail address. The administrator of AlphaBay, notably, had used the username "Alpha02" before changing it to "Admin." To Encrypt or Not to Encrypt…That Is the Question. When the police, aided by the FBI and DEA, raided Alexandre Cazes's home, they said he was using a PC that was logged into AlphaBay as "Admin." The laptop was also found opened and unencrypted - revealing that Alexandre Cazes had been communicating with an AlphaBay data center, revealing the day-to-day operations as well as with AlphaBay users, and numerous passwords to AlphaBay servers and other infrastructure. A Tragic End And a Snake in the Grass. Alexandre Cazes was being held in a cell at Bangkok's Narcotics Suppression Bureau and, just hours before he was due to meet prosecutors for talks over his extradition to the US, was found dead of an apparent suicide. Alexandre Cazes did not run AlphaBay singlehandedly. He worked closely with a “security administrator” and second in command known as , or simply “DS” for short. DeSnake Sometime after the takedown of Alpah Bay and the death of Alexandre Cazes, posted on a popular dark web forum to announce the relaunch of AlphaBay and a dedication to Alexandre Cazes aka “alpha02.” DeSnake

Riches to Wretchedness: The Fall of Alexandre Cazes and the Resurrection of AlphaBay

Annually, worldwide turn to ride-hailing apps for transportation, with Russia alone accounting for more than 2.5 billion rides per year. The responsibility of matching each passenger with the ideal driver for every trip falls squarely on the shoulders of the ride-hailing service. over 1.4 billion people So, how do market leaders tackle this complex task? By processing gigabytes of real-time data and deploying algorithms, including those based on machine learning, they ensure the passenger is paired with the most suitable driver. At a high level, the process involves several critical steps: But how exactly are all these data points synthesized? Gathering all available drivers in the vicinity. Filtering out those who are not currently available, for instance, drivers who are in an 'unavailable' status or those who do not meet the class criteria (such as Economy drivers for a Comfort ride). Ranking the remaining drivers based on known factors, such as their proximity to the pickup location, their intended direction, and their tendency to accept rides with a similar profile. aggregating nearby orders for a period and then intelligently redistributing drivers among these orders to ensure each one receives the best match. This strategy enables companies to allocate drivers in under half a minute, significantly reducing the wait time for clients. The next step involves batching: However, this level of efficiency is only achievable when you have: Drivers, Data about them, An effective algorithm. During my tenure at one of the world's leading taxi services, I served as a Product Manager in the Marketplace domain. My primary responsibilities revolved around ensuring client reliability and maximizing company profits, which were the key objectives. In this capacity, I oversaw partner integrations as a product and optimized supply allocation logic using machine learning tools. Let's go! Optimizing Reliability and Efficiency in the UK Taxi Market with ML The platform in the UK was launched in 2019. Each time we launched, we had to configure the setup in one way or another. Overall, it worked out for us: we achieved acceptable reliability figures (in the ride-hailing market, the main reliability metric usually represents the ratio of successfully completed rides to all customer orders). However, in many cases, our decisions were more "expertise-based" than data-driven: we relied on the knowledge of mobility platform staff to advise on the strengths of each partner. It was wonderful to see our unique value proposition actually working, being used by customers, and generating revenue. Nevertheless, the company had already gained experience in driver matching, and we knew we could optimize the ride exchange market. So, our ML engineers were put to work, and the results were encouraging: every key metric, on average, increased by 5%. It was also surprising to see how incorrectly some of our configurations had been set up before. Even though we were operating in two entirely different markets (more on the Russian experience below), the pattern repeated. There was still room for improvement by gradually fine-tuning the weights of features, introducing new features, or discarding some. However, some areas (remote cities or just places where the immobility platform does not have a strong customer base) had to remain under manual control. Yet, the "Ride Exchange platform" became smarter, more reliable, and cost-efficient. Not to mention, we became the first in the world to create a market of fully integrated transportation services for customers in one app, and also the first to power it with ML. The main metric for us is the percentage of satisfied customers who booked a ride and eventually took a ride to their desired destination (GC/GCR – Gross Completion Rate). Since the launch, I have experienced a lot with the platform and learned many lessons. Some of them include: Finding the right balance in the historical depth of data to account for both recent data about the supplier (from the last 24 hours) and the averages over the last three months. Understanding which features will be useful, and which will not? There are two ways to answer this: by conducting a simulation and/or a real experiment. How do you convince stakeholders that it's worth it if you only have an idea so far? Consider showing them a prototype or a clear concept of your solution. While this might not be the best move for consumer-focused products, it works wonders in B2B and B2B2C setups. In these environments, where feedback cycles can drag on, waiting for weeks just for another demo isn't ideal. A quick, tangible demo can speed up decision-making and keep the collaboration moving smoothly. Here’s How I Approached the Russian Market How it Started As we entered the 2020s, mostly private entities. The proliferation of commercial enterprises was attributed to a reduction in state restrictions on the issuance of permits and regulatory measures on tariff control. This led to a surge in small businesses and intense competition in the market. At that time, my mobility platform operated as a standard taxi service aggregator, competing with other market players like , , and Citymobil for both customers and drivers. The taxi market was facing losses due to escalating competition, while shifts in consumer demand further complicated the landscape. taxi services in Russia were provided by around 4,300 organizations, Uber Yandex Mission aimed to unite all possible transportation players worldwide on a single platform, creating a fundamentally new level of service for corporate clients that prioritizes the speed of car arrival and optimized trip costs. The mobility platform secured the largest driver base in Russia through strategic agreements and partnerships, particularly with Citymobil in 2020 and another major player in 2021. The mobility platform Our product team's objective After these partnership agreements, I had to synchronize numerous processes. One of the key tasks was to optimize the distribution of customer orders on the platform among providers to enhance reliability and reduce costs for each trip. However, a critical market question arose: How do we decide whom to use and the best pathways for the customer? Here are the steps we took: Started with manual rules for distributing orders among providers. Observed the results, but they were not satisfactory. Conceptualized an that could make decisions on the distribution of each specific trip based on its unique criteria: ML model Order profile: location, duration, time, etc. Market metrics of each provider. Real-time data on our partners: dynamic prices, driver locations. Historical market knowledge in each location and an assessment of the current situation at a given time. Two factors to consider: major expenses are unrelated to the trip—acquisition and operational costs. The following data points illustrate how ML-driven decisions surpass manually-made ones Top Metrics: Increased the percentage of successful orders by 1.7% Reduced driver search time by 12% Increased trip revenue by 9% Control - manual driver search configuration Test - using the ML model. GCR – gross completion rate (rides taken out of all booked), higher is better % Cancelled – how many rides get cancelled after a driver is found, lower is better GP per ride – gross profit per ride, higher is better Margin – revenue per ride, less driver/partner payments, higher is better AVG AT – time it takes to find a driver, lower is better Take these recommendations with you to make ML deployment processes more efficient: While optimizing for efficiency and cost-effectiveness is crucial, you should maintain a strong focus on user experience. Balancing the algorithmic decision-making process with user preferences and expectations is essential to ensure sustained customer loyalty. Regular feedback mechanisms and user surveys can provide valuable insights into evolving customer needs. User-focused optimization: Recognizing the differences between markets, especially the on-demand nature of the Russian taxi market, is vital. You should tailor its strategies to suit the specific demands and behaviors of each market it operates in. This may involve adjusting algorithms, promotional strategies, or service offerings to align with the unique characteristics of each region. Market-specific strategies: The success metrics showcased in the case study are positive indicators, but you should establish a continuous evaluation process. Regularly assessing the impact of ML-driven decisions on key performance indicators, market share, and customer satisfaction will allow for prompt adjustments and enhancements. Sustain investment in machine learning technologies across various operational facets, ensuring ongoing refinement and adaptation to market changes. This should extend beyond supply allocation logic to other critical operations. Regular evaluation and adjustment:

Optimizing Ride-Hailing with Machine Learning: A Product Manager's Journey

মেশিন লার্নিং সহ রাইড-হেইলিং অপ্টিমাইজ করা: একটি পণ্য পরিচালকের যাত্রা

Mitfahrdienste mit maschinellem Lernen optimieren: Die Reise eines Produktmanagers

Optimización del transporte compartido con aprendizaje automático: el viaje de un gerente de producto

Optimiser les services de covoiturage avec l'apprentissage automatique : le parcours d'un chef de produit

मशीन लर्निंग के साथ राइड-हेलिंग को अनुकूलित करना: एक उत्पाद प्रबंधक की यात्रा

機械学習による配車サービスの最適化: プロダクトマネージャーの旅

머신 러닝을 통한 차량 공유 최적화: 제품 관리자의 여정

Otimizando Ride-Hailing com aprendizado de máquina: a jornada de um gerente de produto

Оптимизация заказов пассажиров с помощью машинного обучения: путь менеджера по продукту

Araç Aramayı Makine Öğrenimiyle Optimize Etme: Bir Ürün Yöneticisinin Yolculuğu

Tối ưu hóa dịch vụ gọi xe bằng Machine Learning: Hành trình của Giám đốc sản phẩm

利用机器学习优化叫车服务：产品经理的旅程

220 Stories To Learn About Ux Design

This paper is available on arxiv under CC BY-NC-ND 4.0 DEED license. Authors: (1) Akash Chikhalikar, Graduate School of Engineering, Department of Robotics, Tohoku University; (2) Ankit A. Ravankar, Graduate School of Engineering, Department of Robotics, Tohoku University; (3)  Jose Victorio Salazar Luces, Graduate School of Engineering, Department of Robotics, Tohoku University; (4) Yasuhisa Hirata, Graduate School of Engineering, Department of Robotics, Tohoku University. Table of Links Abstract & Introduction Related Work Semantic Mapping Framework Multi-Target Search Experimental Studies Conclusions and Discussions, Acknowledgment and References VI. CONCLUSIONS AND DISCUSSIONS In this study, we have successfully demonstrated the feasibility of target search in indoor environments by effectively locating multiple targets using a novel heuristic. Our proposed approach offers a reliable region-to-region navigation strategy that can accommodate user preferences during the search. The region-to-region navigation is efficient in terms of time as well as energy. It is inherently more robust to obstacles and occlusions as compared to point-topoint navigation. Furthermore, our system can perform these tasks in real-time and is suitable for small to medium sized indoor spaces such as homes and offices. The system can be improved using decision making strategies that optimize long horizon navigation planners. Another non-trivial extension of this work is to add a manipulator to the system that can perform high-level object pickup tasks and extend the current system to accommodate more complex and challenging environments. ACKNOWLEDGMENT This work was partially supported by JST Moonshot R&D [Grant Number JPMJMS2034], JSPS Kakenhi [Grant Number JP21K14115], and JST SPRING [Grant Number JPMJSP2114]. REFERENCES [1] D. Belanche, L. V. Casalo, C. Flavi ´ an, and J. Schepers, “Service robot ´ implementation: a theoretical framework and research agenda,” The Service Industries Journal, vol. 40, no. 3-4, pp. 203–225, 2020. [2] A. A. Ravankar, S. A. Tafrishi, J. V. S. Luces, F. Seto, and Y. Hirata, “Care: Cooperation of ai robot enablers to create a vibrant society,” IEEE Robotics & Automation Magazine, 2022. [3] M. Kim, S. Kim, S. Park, M.-T. Choi, M. Kim, and H. Gomaa, “Service robot for the elderly,” IEEE robotics & automation magazine, vol. 16, no. 1, pp. 34–45, 2009. [4] R. Martins, D. Bersan, M. Campos, and et al., “Extending maps with semantic and contextual object information for robot navigation: a learning-based framework using visual and depth cues,” Journal of Intelligent and Robotic Systems, vol. 99, p. 555–569, 2020. [5] M. Hayat, S. H. Khan, M. Bennamoun, and S. An, “A spatial layout and scale invariant feature representation for indoor scene classification,” IEEE Transactions on Image Processing, vol. 25, no.10, pp. 4829–4841, 2016. [6] A. Rosinol, A. Violette, M. Abate, N. Hughes, Y. Chang, J. Shi, A. Gupta, and L. Carlone, “Kimera: From slam to spatial perception with 3d dynamic scene graphs,” The International Journal of Robotics Research, vol. 40, no. 12-14, pp. 1510–1546, 2021. [7] C.-Y. Wang, A. Bochkovskiy, and H.-Y. M. Liao, “Yolov7: Trainable bag-of-freebies sets new state-of-the-art for re [8] K. He, G. Gkioxari, P. Dollar, and R. Girshick, “Mask r-cnn,” in ´ Proceedings of the IEEE international conference on computer vision, pp. 2961–2969, 2017. [9] D. Fernandez-Chaves, J.-R. Ruiz-Sarmiento, N. Petkov, and J. Gonzalez-Jimenez, “Vimantic, a distributed robotic architecture for semantic mapping in indoor environments,” Knowledge-Based Systems, vol. 232, p. 107440, 2021. [10] S. Hasegawa, A. Taniguchi, Y. Hagiwara, L. El Hafi, and T. Taniguchi, “Inferring place-object relationships by integrating probabilistic logic and multimodal spatial concepts,” in 2023 IEEE/SICE International Symposium on System Integration (SII), pp. 1–8, 2023. [11] D. Batra, A. Gokaslan, A. Kembhavi, O. Maksymets, R. Mottaghi, M. Savva, A. Toshev, and E. Wijmans, “ObjectNav Revisited: On Evaluation of Embodied Agents Navigating to Objects,” in arXiv:2006.13171, 2020. [12] K. Yadav, S. K. Ramakrishnan, J. Turner, A. Gokaslan, O. Maksymets, R. Jain, R. Ramrakhya, A. X. Chang, A. Clegg, M. Savva, E. Undersander, D. S. Chaplot, and D. Batra, “Habitat challenge 2022.” https://aihabitat.org/challenge/2022/, 2022. [13] D. Silver and J. Veness, “Monte-carlo planning in large pomdps,” Advances in neural information processing systems, vol. 23, 2010. [14] L. Holzherr, J. Forster, M. Breyer, J. Nieto, R. Siegwart, and J. J. ¨ Chung, “Efficient multi-scale pomdps for robotic object search and delivery,” in 2021 IEEE International Conference on Robotics and Automation (ICRA), pp. 6585–6591, IEEE, 2021. [15] K. Zheng, Y. Sung, G. Konidaris, and S. Tellex, “Multi-resolution pomdp planning for multi-object search in 3d,” in 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 2022–2029, IEEE, 2021. [16] K. Zheng, R. Chitnis, Y. Sung, G. Konidaris, and S. Tellex, “Towards optimal correlational object search,” in 2022 International Conference on Robotics and Automation (ICRA), pp. 7313–7319, IEEE, 2022. [17] C. Wang, J. Cheng, W. Chi, T. Yan, and M. Q.-H. Meng, “Semanticaware informative path planning for efficient object search using mobile robot,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 51, no. 8, pp. 5230–5243, 2021. [18] T. Choi and G. Cielniak, “Adaptive selection of informative path planning strategies via reinforcement learning,” in 2021 European Conference on Mobile Robots (ECMR), pp. 1–6, 2021. [19] F. Zhou, H. Liu, H. Zhao, and L. Liang, “Long-term object search using incremental scene graph updating,” Robotica, vol. 41, no. 3, p. 962–975, 2023. [20] A. C. Hernandez, E. Derner, C. Gomez, R. Barber, and R. Babuska, ˇ “Efficient object search through probability-based viewpoint selection,” in 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 6172–6179, 2020. [21] A. Chikhalikar, A. A. Ravankar, J. V. S. Luces, S. A. Tafrishi, and Y. Hirata, “An object-oriented navigation strategy for service robots leveraging semantic information,” in 2023 IEEE/SICE International Symposium on System Integration (SII), pp. 1–6, 2023. [22] A. A. Ravankar, A. Ravankar, T. Emaru, and Y. Kobayashi, “A hybrid topological mapping and navigation method for large area robot mapping,” in 2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE), pp. 1104–1107, IEEE, 2017. [23] M. Quigley, K. Conley, B. Gerkey, J. Faust, T. Foote, J. Leibs, R. Wheeler, A. Y. Ng, et al., “ROS: an open-source Robot Operating System,” in ICRA workshop on open source software, vol. 3, p. 5, Kobe, Japan, 2009. [24] P. Fankhauser and M. Hutter, “A Universal Grid Map Library: Implementation and Use Case for Rough Terrain Navigation,” in Robot Operating System (ROS) – The Complete Reference (Volume 1) (A. Koubaa, ed.), ch. 5, Springer, 2016. [25] “Azure Kinect DK Sensor SDK.” https://docs.microsoft. com/en-us/azure/kinect-dk/sensor-sdk-download. Accessed: 2022-08-13. [26] F. Endres, J. Hess, J. Sturm, D. Cremers, and W. Burgard, “3-d mapping with an rgb-d camera,” IEEE Transactions on Robotics, vol. 30, no. 1, pp. 177–187, 2014. [27] M. Labbe and F. Michaud, “Rtab-map as an open-source lidar and ´ visual simultaneous localization and mapping library for large-scale and long-term online operation,” Journal of field robotics, vol. 36, no. 2, pp. 416–446, 2019. [28] H. W. Kuhn, “The Hungarian method for the assignment problem,” [29] T.-Y. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollar, and C. L. Zitnick, “Microsoft coco: Common objects in ´ context,” in Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part V 13, pp. 740–755, Springer, 2014.

Conclusions and Discussions, Acknowledgment and References

Authors: (1) Dominic Petrak, UKP Lab, Department of Computer Science, Technical University of Darmstadt, Germany; (2) Nafise Sadat Moosavi, Department of Computer Science, The University of Sheffield, United Kingdom; (3) Ye Tian, Wluper, London, United Kingdom; (4) Nikolai Rozanov, Wluper, London, United Kingdom; (5) Iryna Gurevych, UKP Lab, Department of Computer Science, Technical University of Darmstadt, Germany. Table of Links Abstract & Introduction Related Work Datasets Examined Manual Error Type Analysis and Taxonomies Automatic Filtering for Potentially Relevant Dialogs Statistical Analysis Evaluation and Experiments Discussion Conclusion, Limitation, Acknowledgments, and References A Integrated Error Taxonomy – Details B Error-Indicating Sentences And Phrases C Automatic Filtering – Implementation D Automatic Filtering – Sentence-Level Analysis E Task-Oriented Dialogs – Examples F Effectiveness Of Automatic Filtering – A Detailed Analysis G Inter-Annotator Agreement – Detailed Analysis H Annotation Guidelines I Hyperparameters and Baseline Experiments J Human-Human Dialogs – Examples E Task-Oriented Dialogs – Examples In Section 6.1, we say that the dialogs of task-oriented datasets considered in our work are of little variety in language and flow. This is most obvious in case of BABI (Bordes et al., 2017) which we want to show using the following example: good morning 1. USER: : hello what can i help you with today SYSTEM : may i have a table with british cuisine in a cheap price range USER : i’m on it. where should it be SYSTEM : madrid please USER : how many people would be in your party SYSTEM : for eight please USER : ok let me look into some options for you 4. SYSTEM : actually i would prefer in paris USER : sure is there anything else to update SYSTEM : instead could it be for four people USER : sure is there anything else to update SYSTEM : instead could it be in a moderate price rang USER : sure is there anything else to update SYSTEM 8. : no USER 8. : ok let me look into some options for you SYSTEM This dialog is prototypical for BABI. The first few turns (the first four in this case) contain the original user request. Then, the user asks for changes (turn five to eight). Overall, the dialogs are very scripted. Users are mostly clear and distinctive in their responses. They contain only little variety in language and flow, which makes them seem very unrealistic. We do not observe a change in this regard across tasks. The following dialog is from SGD (Rastogi et al., 2020): 1. : Our family is planning for a vacation trip. Please can you find a good rental car for a pleasant trip? USER 1. : At what time do you need the car? SYSTEM 2. : I can pick up the car at 15:00 USER 2. : From when onwards you are looking for the rental car? SYSTEM 3. : I need the car from 11th of March. USER 3. : So, how long you need the car? SYSTEM 4. : I might need it till the 13th of this month. USER 4. : Okay! So, where would be your pick up location? SYSTEM 5. : I can pick up the car in Paris on 9th of this month. USER 5. : Okay! There is a nice car, Chevrolet Cruze, a Standard car is available for pick up on March 9th at Charles de Gaulle International Airport. Do you wish to rent this car? SYSTEM 6. : Do you have any other cars for I need the car till 10th of this month. USER 6. : Yup! We’ve 3 more cars. Do you wish to rent Honda Accord, which is a Standard car and its ready for pickup on March 9th from Charles de Gaulle International Airport? SYSTEM 7. : Okay. I go for the Honda Accord. USER The dialog looks much more natural, which might be due to its type. While BABI consists of human-bot dialogs, SGD consists of human-human dialogs. However, the flow is very similar. Up until turn five, the user’s request is refined. Then, the system comes up with a suggestion which the user denies (for a couple of turns) by asking for something different. At some point, user’s agree or disagree on the system’s suggestions. Then the dialog ends. The following dialog is from MWoZ (Budzianowski et al., 2018): 1. USER: Hi, I could use help with my planning. I am trying to find a place to stay. 1. SYSTEM: Ok, to help us find the right place for you lets talk about what you would like. Do you have a price range you prefer? Or an area of town? 2. : I would like it to be in the south and have a rating of 3 stars. USER 2. : We have a moderately priced guesthouse and an expensive hotel that match your requirements. SYSTEM 3. : Does either offer free parking? USER 3. : They both offer free parking and internet. SYSTEM 4. : Okay can you please book it for 7 people for 4 nights starting on Tuesday? USER 4. : Which one? The guesthouse or the hotel? SYSTEM 5. : The hotel, please. USER 5. : Reference number is : BS0ODSGJ. Is there anything else? SYSTEM 6. : Yes, I also need a train from stevenage to cambridge. I want to leave after 10:15 on tuesday. USER 6. : I have train TR0517 that leaves at 11:54. Would that be something that would work for you? SYSTEM 7. : That’s perfect. Could I get the train ID and travel time? USER 7. : The travel time is 49 minutes. SYSTEM 8. : Great, that’s all I need, thanks so much for your help! Have a great day! USER 8. : You’re very welcome! Thank you! Bye! SYSTEM Like in case of SGD, the dialog looks very natural. However, in contrast to BABI and SGD, the dialogs consist less of refinements, but more of multiple tasks as shown in this example. First, the user asks for a hotel in a city, then he asks for transportation to that city. Sometimes, he also asks for locations with entertainment. While the first request is usually completed (the booking of a room in this case), the second request is usually about gathering information (the user just asks for the train number, departure and travel time, but not for booking a seat). This paper is under CC BY-NC-SA 4.0 DEED license. available on arxiv

Examples of Task-Oriented Dialogs 

The final frontier of delivery is going autonomous. As online orders surge and customers demand ever faster times, last-mile logistics is transforming at warp speed. Self-driving cars, drones and robots are invading suburbs worldwide, promising to bring goods to your door within minutes. No longer fiction, the vision of ordering coffee on a whim and seeing it arrive piping hot via robot is becoming reality. Need a package ASAP? Drones may soon deliver overhead. Companies like Yandex are accelerating this revolution by developing cutting-edge autonomous vehicles for last-mile tasks. In this article, we'll take a drive exploring the innovations upending last-mile delivery. We'll look at the technologies and companies at the forefront of this rapid change. We'll also peer into the future to speculate how new advances could push instant gratification to new heights. From Horse-Drawn Carriages to Delivery Drones People had been delivering goods for centuries using animals like horses and camels. Later, trains, ships and cars sped things up. But the last mile - getting items from large vehicles to destinations - remained difficult. E-commerce boomed in the late 1900s, creating demand for fast package shipping. FedEx and UPS rose with planes, trucks, and vans worldwide. Yet online orders grew so much that last-mile challenges also increased. Customers wanted speedier, cheaper, flexible options while costs rose for companies. To meet these problems, firms tried new methods. with free two-day shipping. They also did same-day and one-hour delivery, using instead of employees. Amazon has also experimented with drones, robots and lockers too, seeking better last-mile solutions. Amazon launched Prime in 2005 independent drivers The Last Mile: The Final Frontier of Logistics Last-mile delivery is important for several reasons. First, it is a key factor in customer satisfaction and loyalty. According to a survey by McKinsey, 25% of online shoppers would switch to another retailer if they had a bad delivery experience. Moreover, 56% of millennials said they would pay more for same-day or instant delivery. Therefore, offering fast and reliable last-mile delivery can give a competitive edge to online retailers. Second, last-mile delivery is a major cost driver in logistics. According to some estimates, last-mile delivery accounts for 41% of the total delivery cost and 53% of the total carbon emissions. Reducing the cost and environmental impact of last-mile delivery can improve the profitability and sustainability of online retail. Third, last-mile delivery is a source of . As technology advances and consumer behaviour changes, fresh solutions and players emerge in the last-mile ecosystem. For example, startups like DoorDash, Instacart, and Postmates offer on-demand delivery services for food and groceries. Platforms like Uber Eats, Doordash, and Grubhub connect restaurants with customers and couriers. Companies like Yandex, Starship Technologies, and Nuro develop autonomous vehicles for last-mile delivery. innovation and opportunity The Tech Titans of Today: Yandex, Amazon, and Beyond Two companies that stand out as leaders in last-mile delivery innovation are Yandex and Amazon. Yandex is a Russian internet giant that provides services like search, advertising, e-commerce, maps, cloud computing, and self-driving technology. They've been developing autonomous vehicle technology and currently have a fleet of . These cars have driven over 4 million miles on public roads in Russia, Israel, and the US under various weather and road conditions. With this level of maturity and real-world experience, Yandex is considered one of the global leaders in self-driving development. since 2017 170 self-driving cars Yandex also launched their own delivery robot called Yandex.Rover for transporting small and medium packages autonomously. This robotic option could help automate last-mile delivery within their ecosystem and beyond, providing a sustainable way to deliver food and goods. In total, Yandex has invested approximately into their self-driving division. Recently, they launched Yandex.Rover commercial operations in Skolkovo, a major Russian tech hub. Yandex plans to introduce their autonomous services in Ann Arbor, Michigan and Tel Aviv in the near future as well. $150 million Amazon is another dominant player in e-commerce and technology, known for online retail, streaming, cloud services, AI, and smart devices. They've invested heavily in logistics to speed up and improve delivery. Amazon developed their own delivery network called Amazon Logistics which uses stations, sorting centres, transportation providers, and delivery partners to ship packages independent of traditional carriers. Amazon has also introduced autonomous solutions like , which aims to deliver packages by drone within 30 minutes, and Amazon Scout, a six-wheeled sidewalk robot for navigating neighbourhoods and dropping packages at doorsteps. Other experimental delivery methods from Amazon include in-car/home delivery with and locker/counter pickup with Amazon Hub. Through technological capabilities and their massive customer base, Amazon has become a major force in last-mile delivery. Amazon Prime Air Amazon Key Beyond Yandex and Amazon, companies like , , and are innovating as well. Starship designs small self-driving delivery robots for food, groceries and more across Europe and North America. Nuro partners with retailers to autonomously deliver goods like groceries and prescriptions using their vehicles. And Zipline runs what they claim is the world's largest drone delivery network, transporting medical supplies in Africa and beyond. In the next section, we'll examine some current last-mile delivery case studies. Starship Technologies Nuro Zipline Case Studies from the Front Line: Last-Mile Delivery Today Yandex.Rover in Serbia In June 2023, , Serbia, marking the first time it operated outside of Russia. Yandex partners with local restaurants, cafes, and supermarkets to offer fast, convenient food, grocery, and item delivery to customers via the Yandex app. Customers can track the robot's location and estimated arrival time. Using cameras, lidar and GPS, Yandex.Rover autonomously navigates sidewalks, crosswalks, and traffic lights. Speakers and a screen allow it to communicate with pedestrians and drivers. Its cargo compartment only opens with a unique QR or PIN code provided to the customer. Yandex launched its delivery robot Yandex.Rover in Belgrade This launch was part of Yandex's European expansion strategy. As a leading provider of search, maps, taxi, and food delivery services in Serbia, Yandex aimed to highlight its technological capabilities and offer a unique value with Rover as well. Amazon Prime Air in US, UK, and Italy Amazon Prime Air will integrate drone deliveries into Amazon’s existing fulfilment network, deploying from Same-Day Delivery sites. Amazon customers in Italy, the UK, and an additional U.S. city will soon have the option to get their packages delivered by a drone beginning in late 2024. The Prime Air drone delivery system is expanding to international locations and adding a third city in the United States by the end of next year— specific cities in the U.S. and abroad will be named in the coming months. Zipline in Nigeria In October 2022, through partnerships with the Kaduna State Government and Gates Foundation. Zipline delivers blood, vaccines, medication, and medical supplies from its Kaduna distribution centre to over 1,000 health facilities across the state via 120 km/h flying drones carrying 1.8kg payloads within 30 minutes in all weather. Zipline launched drone services in Nigeria Zipline's Nigeria launch expanded its mission begun in Rwanda in 2016 and Ghana in 2019, where it delivered over 1 million vaccine doses and saved thousands of lives. It aimed to further support universal healthcare in Nigeria. Upcoming Technologies: What’s In the Pipeline? Technology is one of the main drivers of innovation and disruption in last-mile delivery. As technology advances, novel solutions and possibilities emerge that could enhance the efficiency, convenience, and sustainability of last-mile delivery. Here are some of the upcoming technologies that could have a significant impact in the coming years: Hyperloop is a proposed mode of transportation that involves sending pods or capsules through a network of tubes or tunnels at shockingly high speeds, up to 1,200 kilometres per hour. Hyperloop could enable fast and low-cost transportation of goods over long distances, reducing the need for trucks, planes, or trains. Hyperloop could also connect urban areas with rural or remote areas, expanding the reach and accessibility of last-mile delivery. : Hyperloop Blockchain is a distributed ledger technology that enables secure and transparent transactions among multiple parties without intermediaries. Blockchain could improve the traceability, accountability, and efficiency of last-mile delivery by enabling real-time tracking of goods, smart contracts for payments and deliveries, and decentralized platforms for peer-to-peer delivery. : Blockchain 3D printing is a technology that enables the creation of physical objects from digital models by depositing layers of material. 3D printing could revolutionize last-mile delivery by enabling on-demand and localized production of goods, reducing the need for inventory, warehousing, and transportation. 3D printing could also enable customization and personalization of goods, enhancing customer satisfaction and loyalty. : 3D Printing Biotechnology is a technology that involves the manipulation of living organisms or biological systems. Biotechnology could transform last-mile delivery by enabling novel solutions for packaging, preservation, and delivery of goods. For example, biodegradable packaging made from algae or fungi could reduce waste and environmental impact. Bioengineered foods or medicines could extend shelf life and improve quality. Biosensors or biometrics could enable secure and convenient delivery verification. : Biotechnology However, challenges exist - technical and regulatory hurdles, social acceptance, ethics, and cybersecurity risks require careful evaluation before adopting unfamiliar concepts. Strategic Shifts: Predicting the Unpredictable While technology drives change, unpredictable human factors also impact last-mile delivery's future. Shifting consumer behaviours, economic conditions, environmental concerns, politics, and natural disasters create uncertainty, with opportunities and risks. To adapt amid this complexity, companies must strategically pivot. Transitioning focus from products alone to customers' experiences demands deep understanding of needs, personalization, and loyalty-building through positive impact. Transitioning from ownership to access alters business models, as shared subscriptions and rentals replace individual purchases in the circular sharing economy. Platform ecosystems boost availability. Moving operations away from centralization delegates control and fosters innovation through distributed localized partner networks, peer-to-peer crowdsourcing, and community cooperation. However, achieving the right product-service balance with these shifts requires trade-offs. Implementing changes across dispersed stakeholders introduces risks that must be diligently governed. Incentives and resource coordination become more intricate. Careful consideration weighs consequences before wholesale adoption. But navigating humanity's disruptive course demands agility and vision. Strategic flexibility positions resilience amid uncertainty, preparedness navigating both risks and opportunities ahead. With responsibility and diligence, last-mile leaders can help deliver the future people need. The Future is Now One thing is clear - we are witnessing the dawning of a new era. An era where imagination meets innovation, where science fiction becomes a science fact, where the impossible becomes possible. Yesteryear's visions of drones, robots and self-driving vehicles delivering goods on demand have already transformed into today's reality. Pioneers like Yandex, Amazon and Starship have pulled the future into the present and set us boldly on a course we could only dream of just a decade ago. What will the next decade bring? It is impossible to say for certain, but if history is any guide, it may surpass even our most outlandish speculations. The innovations will continuously reshape life as we know it, delivering value to all in their wake. As for the rest of us, our role is clear - embrace change with optimism and curiosity. Keep an open mind for what is to come, everyone!

The Last-Mile Delivery Revolution: What’s Next on the Horizon?

Consumer demand and e-commerce growth are driving the expansion and evolution of digital payments. The overall direction is to offer ease for the end user, a smoother process and to add layers of security in fraud prevention. Reliable online payment methods are also key to content monetization and irregular forms of payments, tipping, or transactions based on social media. Additionally, fintech is also adding social media features to boost engagement and reach to a wider pool of potential users. Payment trends are affecting the evolution of both currency transfers, and of the usage of crypto tokens as a form of fintech. We will focus on 5 of the most active fintech trends that will shape the space in 2024. Digital Wallet Payments Demand is rising for various forms of digital banking. are perhaps the most well-established tech, where first movers had the advantage of grabbing loyal audiences. Most big banks already achieve some form of regional advantage, grabbing large chunks of the US and European markets, as well as the thriving Southeast Asian economies. E-wallets are expected to grow in the current decade, tapping the largest economies. Digital wallets are also one of the most reliable tools for e-commerce, protecting customers from fraud and offering more options in a new wave of e-commerce globalization. Digital wallets will grow at a pace of 10% to 20% per annum, with a robust rate in 2024. The services are set to become mainstream, encompassing more than half of global users in the next few years. Digital wallets and mobile payments are also the basis for more advanced and personalized options for other types of payments in niche use cases. The global digital wallet and mobile payment market Europe and the EU economic area are a particular source of growth, as more fintech companies tap into an otherwise conservative market. The EU online sales market is predicted to grow to $900M annually by 2027, driven by e-commerce. Reputable sellers are seeking the shortest, most seamless online forms for payments, driving demand for payment widgets and reliable payment forms. Impulse Buying Setups Given the growth of digital wallet payments, users are more confident they have a secure method to interact with online stores. Given that sense of security, impulse-buying tools will continue to grow in 2024. Impulse buying is not necessarily a negative event. Instead, this user behavior can mean the online store is extremely efficient in predicting needs and offering a fast, seamless payment. One-click purchases, seamless fast orders, or pre-approved installment payments will continue to develop in 2024. The concept of user experience will be brought to the front, minimizing the work needed to send a transaction. “Experiences, not transactions; insight driven; instantaneous,” commented Etienne Liffe-Moon of BMW Design Works on the topic of upcoming fintech trends. Impulse buying setups are ideal for small merchants that want to drive regional growth. The founder of NJoy Payments Anatoly Makeshin recommends using a one-click payment widget, as almost half of online purchases are impulsive. “In 2024, we believe fast authentication, one-click purchase forms and buy-now-pay-later will be key for websites. For merchants, new tech will offer self-onboarding, easy to install widgets, reliable payment processing at a low price,” said Makeshin. Impulse buying setups are one of the fields for advancing technology. E-commerce can now include buy-now-pay-later, or other installment policies, with no pre-approval loan process. Services like may have first-mover advantage, but even smaller startups will try to offer a BNPL version. PayPalLater Open Banking, Embedding and Saas Payment Models One side effect of fintech is that more financial services can be reliably offered by site owners. We already discussed the example of BNPL options and installments. In 2024, fintech trends will continue to boost various forms of open finance. The SaaS approach to finance means businesses can focus on client acquisition, while relying on cloud-based services to handle financials, verification and other aspects. is predicted to reach 18% in 2024, becoming one of the top expansion trends. Growth in the SaaS fintech sector For site owners, this means offering seamless integration of wallets or identities, with no need to register for each new online store. The most innovative use case for fintech would be open banking, where customers can share their financial data with third-party providers. This aspect of the fintech industry will face the challenges of potential scams and bad actors, further raising the demand for reliable technologies and providers. The most exciting development in 2024 would be the sharing of banking and financial APIs, meaning a wider circle of companies can handle financial data. This trend will boost inclusivity, while also decreasing waiting time for transactions. NJoy Payments is also adding to the trend, by handling an elaborate chain of events to connect a site and the client’s bank resources. Demand for payment service providers and handling the transaction process reliably will be key for wider fintech adoption in 2024. AI Tools and Payment Processing The rise in GPT-type AI tools, chatbots and language models is also changing the interaction between merchants and customers. AI will be affecting fintech in 2024 in multiple ways, mostly by handling the data-rich resources gathered from e-commerce. One important way of applying AI would be to recognize potential frauds and issue timely warnings. An AI can closely track user behavior, make suggestions or offer special deals. Additionally, AI enhancements can notice unusual behavior and stop transactions when they are deemed suspicious. AI can also assess user behavior and enhance other tools and widgets, especially by creating the right type of BNPL schedules. Other potential use cases can include virtual online stores, which find a product from other vendors and facilitate the sale point and transaction through embedded payment services. Mobile Payment Expansion Mobile payments are the other big trend to continue in 2024. Once again, Europe is gaining attention by adding new cohorts of buyers. Mobile payments span both e-commerce and physical stores, with in-between options for various delivery and pickup options. are set to reach a milestone in 2024, surpassing 1B active users for the first time. More yet-untapped demand is coming from developing regions, which are still in the phase of active smartphone penetration. Mobile payments This type of payment also brings in users to multiple cryptocurrencies, where most projects are compatible with phones and simply apply existing wallet technology. Crypto token usage also aims to converge with fintech and become more reliable and less open to price fluctuations and scams. This is a slow process, but tokens and crypto wallets remain a small niche within the fintech space. Some of the key trends of 2024 are already visible in e-shop and site design. Others require more backend work. The end goals are to make payment processing invisible and more intuitive, as well as more secure. Some of the processes are solidifying the technological gains of the past decade, while others are set to disrupt e-commerce, boost economic activity, and reverse the slowdown of the past few years.

Top 5 Payment Tech Trends for 2024: Growth, Disruption and Seamless User Experiences

240 Stories To Learn About Startups Of The Year

90 Stories To Learn About Startup Strategy

are everywhere. They have become indispensable in our everyday lives. They are also ubiquitous in various industries, notably e-commerce logistics. Mobile applications Nowadays, apps are redefining how e-commerce is conducted. One of the main reasons for their effectiveness is that these apps help immensely in attracting personnel. The traditional barriers tied to experience and competence levels are significantly diminished. This is, in a large part, because a mobile app introduces a rigid workflow, making it difficult for users to stray from prescribed tasks. Furthermore, these applications enable a high level of oversight, so all activities carried out by the user are thoroughly monitored. Apart from that, they assist in all areas: from product browsing to delivery tracking. They act like the bonding agent that links customers, retailers, and delivery services, allowing instant information exchange and effortless cooperation. For businesses, they enhance operational efficiency, improve customer relations, and provide a competitive advantage. For consumers, they offer a swift, engaging, and user-friendly interface for satisfying their shopping desires. How mobile apps influence e-commerce make different parts of the business, like finding products and delivering them, a lot easier thanks to their simple and clear interfaces. Mobile apps On the frontend, they deliver an engaging and personalized user experience. Advanced algorithms analyze user behavior to recommend products, tailor promotions, and facilitate personalized interactions. Mostly, apps are designed for easy navigation, quick checkouts, and secure payment processing. Many also offer features like wish lists, product comparisons, and customer reviews. On the backend, mobile applications are instrumental in managing inventory, processing orders, handling customer inquiries, and tracking deliveries. They help in making various office tasks more automatic and precise, reducing mistakes and making sure the operations run smoothly. In addition, these apps keep a bunch of helpful information that companies can use to tweak their operations, guess what their customers might want next, and make wise decisions about what's to come. Also, a good many of mobile apps have built-in tools for accessibility. These include voice-enabled search functions, speech synthesis, and the option for high-contrast displays. Such features guarantee that e-commerce platforms cater to the needs of all customers, including those with visual, auditory, or motor difficulties. What's their role? From what we can tell, mobile apps offer a bunch of tools and features that simplify and speed up a lot of operation parts, like taking care of inventory, tracking orders, and sorting out delivery systems. Inventory Management Applications like TradeGecko and Vend offer robust solutions here. These apps synchronize data across multiple sales channels, making it easier to manage stock levels, predict demand, and prevent both overstocking and stockouts. Features such as real-time inventory tracking, automated reordering, and reporting help businesses maintain optimal inventory levels and streamline their supply chain operations. Order Tracking For order tracking, mobile apps have significantly improved transparency and communication between businesses and customers. Applications such as AfterShip and Route offer real-time tracking and automatic updates on shipment progress, giving customers clear visibility of their orders' status. These platforms also allow businesses to customize their tracking pages, reinforcing brand identity and improving customer experience. Delivery Systems Mobile applications have revolutionized the way businesses coordinate their deliveries. Apps like Onfleet and Bringg provide sophisticated dispatching, route optimization, and driver-tracking features. They facilitate efficient delivery operations, reducing costs, improving delivery speed, and, as a result, enhancing customer satisfaction. Mobile apps in scaling One of the most critical challenges in e-commerce is scaling logistics to accommodate business growth. This requires managing larger volumes of orders, delivery routes, inventory, and customer communication, all of which can quickly become complex. Mobile applications help the scaling process. In a sense, they can grow along with a business. As the volume of transactions increases, mobile applications can handle the increased data and complexity without the need for significant investments in new hardware or infrastructure. They enable businesses to manage growth without disrupting existing operations, and their modular nature allows for additional features to be integrated as needed. For example, ShipBob, a logistics platform designed for e-commerce businesses, faces the challenge of managing increased order volume, as business operations grow. ShipBob offers a unified platform where companies can manage orders from various sales channels. The app provides inventory management across multiple warehouses, order management, and even advanced analytics to improve decision-making. With ShipBob, businesses can scale their logistics seamlessly without the headache of dealing with increased complexity. Similarly, applications like EasyPost allow businesses to manage an extensive network of carriers. As businesses expand geographically, they need to work with more delivery services. EasyPost offers API solutions that integrate with numerous carriers, making it easier for businesses to ship worldwide without getting bogged down by the complexity of managing multiple relationships. Sellbrite and Zoho Inventory provide further support for scaling logistics. Sellbrite facilitates multi-channel selling, allowing businesses to list and sell products across numerous online marketplaces from a single interface. This centralized control simplifies the management of increased sales channels as businesses grow. Zoho Inventory, on the other hand, is a robust inventory management solution that can manage the growing complexity of stock control. It handles tasks like inventory tracking, order fulfillment, and also integrates with multiple online sales channels, keeping all systems synchronized as a business scales. Who uses them, and how? ASOS This British online fashion retailer also made great progress in scaling its logistics with a mobile application. They integrated their operations with Metapack, a delivery management software that offers a range of features, including track-and-trace functionality, returns management, and delivery personalization. With Metapack's capabilities, ASOS was able to enhance its delivery process and manage a greater volume of orders. Stitch Fix Stitch Fix, an online personal styling service, used mobile applications to scale its operations and deliver personalized style boxes to customers across the United States. They used an app called Style Shuffle, which allows users to rate clothing and accessory items, thus helping the company gather data about customer preferences. This helped the company streamline its inventory management and improved the efficiency of its operations. Instacart Instacart, a North American leader in online groceries, turned to mobile apps to grow the scale of its operations. They developed their in-house app that connects customers, personal shoppers, and grocery stores for efficient delivery or pickup of groceries. This allowed them to manage a complex logistical challenge of coordinating between multiple stakeholders. As a result, Instacart became able to handle a growing volume of orders and expand their operations. The Home Depot The Home Depot, a leading home improvement retailer, provides another example of successful logistics scaling through the use of mobile applications. Facing increasing demand online, they realize the need to optimize their e-commerce logistics to handle the surge in orders. The company turned to mobile tech. The app they used was Roadie. It’s an Uber-like system that connects businesses with local drivers who can deliver goods on routes they were already taking. The Home Depot turned to Roadie to help make its delivery process smoother and deal with more orders. The company also created their own app that helped customers keep tabs on their orders, find things in stores, and even use augmented reality to see what products would look like in their homes. The payoff was a big boost to The Home Depot's e-commerce operations. Conclusion So, for e-commerce, mobile apps enhance clarity and speed, which results in an improved shopping journey for consumers, as well as businesses becoming able to work more efficiently. It's easy to expect that, with time, apps will gain an even bigger role in e-commerce logistics. We’ll probably be seeing a constant stream of more and more specialized apps, designed to offer even more help. Likely, they will introduce new methods to boost operational efficiency, cut costs, and amplify customer satisfaction. As these changes come, businesses that can use mobile apps well will lead the pack, ready for the opportunities and challenges the future brings. Try to be one of them.

Mobile Applications and their Impact on E-commerce Logistics Scaling

Let's learn about via these 46 free stories. They are ordered by most time reading created on HackerNoon. Visit the to find the most read stories about any technology. Pokemon /Learn Repo 1. 5 Nintendo Switch Games Coming Soon in 2021/2022 There are great games on the horizon, but these Nintendo Switch games coming soon are what I'm excited for. 2. Mawile in Pokémon Sword: How to Find it and Catch it Mawile in Pokémon Sword can be found in the wild area, dens, and the Crown Tundra. You will need fire and ground type Pokemon as well as high-level items 3. The Top Yikes of Pokémon Scarlet and Violet Poor performance and lazy pokemon design in Pokemon Scarlet and Violet are among the top complaints from diehard fans of the franchise. 4. Top 10 Pokémon Characters Fans Love Pokémon has had loads of iconic and memorable characters over its 25 years. Do you want to know the 10 characters that fans love the most? Let's find out. 5. Will the Next New Pokémon Game be a Diamond and Pearl Remake? Fans have speculated that the next new Pokemon game could be a Pokemon Diamond and Pearl remake, based on historical trends in the company's release cycle. 6. 10 Best Nintendo 3DS Games of all Time Ranked by Sales To name a few, the best 3DS games such as Mario Kart 7 and Pokemon have helped the 3DS  to sell huge numbers of hardware and software. 7. Teddiursa: A Deep Dive into Pokemon’s Most Important Bear Teddiursa debuted in Pokemon Gold & Silver, but has since become a background character. Here's why the bear Pokemon is important. 8. How to Use PKHex On Switch to Mod Pokemon Scarlet & Violet Here's how to use PKHex on the Nintendo Switch to edit what Pokemon are in your party. 9. Where to Sell Pokémon Cards Online: 3 Options To sell Pokemon cards online, you can sell your Pokemon cards on eBay as well as to collectors, and professional toy auctions. 10. The Digital Evolution of the Collecting Sector Collecting is part of human nature. Since the times of Roman generals who exhibited the trophies collected during the war campaigns in their homes. 11. Pokémon Natures: Everything You Need To Know In this comprehensive guide we will break down the 25 Natures and their effects so you can work them into your Pokémon strategy. 12. One Day in Paldea: A Review of Pokemon Scarlet and Violet Despite some persistent graphical glitches, the new Pokemon Scarlet and Violet successfully expand on the open world concept brought in by Legends: Arceus. 13. What is your favorite video game movie? Video game movies have earned a reputation for being less than stellar, but are there any good ones? 14. At the Metaverse Frontier – Redefining the Future of Play-To-Earn, and Integrating E-Sports in Block Josh Wilson's concept of Sacred Tails illustrates how we might consider gaming as a method to make money while having fun. 15. Pokémon Radical Red: The Perfect Reimagining of a Classic Pokémon Radical Red is one of the best Pokémon ROM hacks available and should be played by any franchise fan. 16. 5 Best Pokémon Games of All Time Ranked Pokémon's 25th anniversary is this week. To celebrate its anniversary, here are the top 5 best Pokémon games of all time. 17. 10 Best GBA Games of All Time Ranked by Sales The best GBA games, such as Pokémon and Mario, have helped the console shift units. Pokemon Ruby and Sapphire are the best selling GBA games alongside others. 18. 10 Best Pokémon ROM Hacks You Can Download for Free ROM's such as Pokemon Turquoise version and Last Fire red are some of the best Pokémon ROM hacks available for free in 2021. 19. Augmented Reality: Connecting the Physical and Digital Worlds How does Augmented Reality connect the physical and digital worlds? Pokemon Go, a game that took the gaming industry by storm with more than a billion downloads, honored with the title of Best Mobile Game by Game Developers Choice Awards and the “Best App of the Year” by TechCrunch brought the concept of Augmented Reality into the limelight. And why not? 20. 10 Cutest Pink Pokémon of All Time The franchise has many adorable cute pink Pokémon in its roster. Such as Jigglypuff, Mew and Slowpoke. 21. Pokemon Legends Arceus Review: Is the New Open World Pokemon Game Worth it? Pokemon Legends: Arceus is the latest release and brings overhauls the Pokedex, battling and capturing, this review gives you all the info before you buy it. 22. All The Pokémon Games in Chronological Order This article has outlined the Pokémon games in Chronological order. The main series of games can be chronologically ordered, starting with Red and Green 23. What's New in Gaming: June 2021 Hackernoon presents the latest and interesting news, trends, and events emerging in the gaming world. Read the latest gaming industry stories on Hacker Noon, where 10k+ technologists publish stories for 4M+ monthly readers. 24. New Pokémon Snap: 5 Reasons Why it Might be the Best Game of 2021 New Pokémon Snap can be one of the best games of 2021due to its gimmicky nature and social media connectivity that may help it stand out from the crowd. 25. Dreepy in Pokémon Sword and Shield: How to Find, Catch, and Evolve You can find Dreepy in Pokémon Sword and Shield in the Lake of Outrage, dens and max raid battles. Extra care needs to be taken with capturing and evolving. 26. What is the Best Pokémon Fusion? In this slogging thread, the gaming community discovered a website where we could experience Pokémon fusions, and we discussed which one was the best. 27. Will Pokémon Legends: Arceus Live Up to the Hype? Pokémon Legends looks to be the open world makeover Pokémon fans have craved. However, mixed signals from recent trailers leave me more skeptical than hopeful. 28. Pokémon Legends: Arceus Revealed Alongside Diamond and Pearl Remakes The Pokémon Company has revealed Pokémon Legends: Arceus, a single-player open-world Pokémon RPG set to release worldwide in early 2022. 29. Is the Pokemon Hidden Fates Elite Trainer Box Worth Investment? The Hidden Fates elite trainer Box is an incredibly popular Pokemon TCG set and is well worth the investment. 30. What is Pokémon Z and Why Wasn’t it Released? Pokémon Z was very likely to have been in the works as the third instalment in generation six but was not released due to economic and, political constraints. 31. 10 Best Pokémon Games of All Time Ranked by Sales Pokémon Red and Blue is the best selling Pokémon game of all time, followed by  numerous other main series Pokémon titles 32. Pokemon Arceus is Out! What is Your Favorite Pokemon? To celebrate the release of Pokemon Legends Arceus, the team at Hackernoon discusses their favourite Pokemon and why! Spoilers it is definitely not Pikachu. 33. How to Find and Use the Pokémon Sword Destiny Knot You can find the Pokémon Sword Destiny Knot in a BP store,  Cramomatic. and through the  through the pickup ability. It can be used for breeding and infatuation 34. The Strongest Pokémon Champions Ranked Cynthia is the strongest of the Pokemon Champions, followed by Leon, Iris, Steven, Blue, Lance, Diantha, Alder, and Wallace ranked in terms of strength. 35. 10 Best Game Boy Color Games Ranked by Sales The Game Boy and the Game Boy Color had a great catalog of games, but they couldn't all be smash hits. Here are the best Game Boy Color games ranked by sales. 36. The Pokémon Mystery Dungeon Games Ranked by Sales Here are the Pokémon Mystery Dungeon games ranked by how much each one sold. 37. What was your favorite childhood video game? This Slogging thread by Mónica Freitas, Katarina Andrejević, Limarc Ambalina, Zaeem Shoaib, Blake Cram, Jack Boreham and Connor C occurred in slogging's official #gaming channel, and has been edited for readability. 38. 10 Best Nintendo DS Games of All Time Ranked by Sales Super Mario, Pokemon, and surprisingly, Brain Age are some of the best Nintendo DS game franchises, according to their overall sales. 39. 5 Best Pokémon Fan Games You Can Play for Free in 2021 The best Pokémon fan games available for free in 2021 are Pokémon Showdown, Insurgence, Planet, Uranium, and Vortex. 40. First Impressions of Pokémon Legends: Arceus This Slogging thread by Limarc Ambalina, Jack Boreham, SuperSaiyanProgramming, Blake Cram, Adrian Morales and Sara Pinto occurred in slogging's official #gaming channel, and has been edited for readability. 41. How to Build a Pokédex App with React and a Slash GraphQL Backend In this article, we're going to walk through some of the basic setup for Slash GraphQL and then take a look at how I built a Pokémon Pokédex app with React and Slash GraphQL in just a few hours! 42. Top 10 Most Powerful Dinosaur Pokémon Many Pokémon designs have taken inspiration from dinosaurs. Here are the 10 most powerful dinosaur Pokémon across the entire franchise. 43. 5 Best Pokémon GO Hacks and How to Get Them Due to the popularity of Pokémon GO, many users have tried to find ways to hack it. Common Pokemon Go hacks include spoofing and botting, amongst others. 44. Top 10 Strongest Dog Pokemon The 10 strongest dog Pokémon are Boltund, Stoutland, Smeargle, Houndoom, Arcanine, Grandbull, Jolteon and the legendry dog trio. 45. What are The Best Video Game Movie Adaptations? In this slogging thread, the gaming community discusses the best and worst video games movie adaptations, from the Tomb Raider to Detective Pikachu. 46. Snorlax Gets Two Los Angeles Police Officers Fired In this slogging thread, our community shares the time they've dodged a task or appointment so they could play Pokemon Go. Thank you for checking out the 46 most read stories about Pokemon on HackerNoon. to find the most read stories about any technology. Visit the /Learn Repo

46 Stories To Learn About Pokemon

312 Stories To Learn About Future

Strategies for Implementing Columnar Compression in Large PostgreSQL Databases

বড় পোস্টগ্রেএসকিউএল ডেটাবেসে কলামার কম্প্রেশন বাস্তবায়নের কৌশল

Strategien zur Implementierung der Spaltenkomprimierung in großen PostgreSQL-Datenbanken

Estrategias para implementar la compresión de columnas en grandes bases de datos PostgreSQL

Stratégies d'implémentation de la compression en colonnes dans les grandes bases de données PostgreSQL

बड़े PostgreSQL डेटाबेस में कॉलमर कम्प्रेशन लागू करने की रणनीतियाँ

大規模な PostgreSQL データベースに列圧縮を実装するための戦略

대규모 PostgreSQL 데이터베이스에서 열 형식 압축을 구현하기 위한 전략

Estratégias para implementar compactação colunar em grandes bancos de dados PostgreSQL

Стратегии реализации столбчатого сжатия в больших базах данных PostgreSQL

Büyük PostgreSQL Veritabanlarında Sütun Sıkıştırmasını Uygulama Stratejileri

Các chiến lược thực hiện nén cột trong cơ sở dữ liệu PostgreSQL lớn

在大型 PostgreSQL 数据库中实现列压缩的策略

FTC v. Amazon Court Filing, retrieved on Sep 26, 2023, is part of . You can jump to any part in this filing . This is part 42 of 80. HackerNoon’s Legal PDF Series here b. Amazon’s first-party anti-discounting algorithm has stopped other online stores from competing by offering lower prices 333. Though the different elements of Amazon’s anti-discounting strategy often work in tandem to stifle competition (as discussed in Part VI.A.4, below), Amazon’s first-party anti-discounting algorithm has, on its own, deterred other online stores from competing through lower prices. 334. For example, Amazon’s first-party anti-discounting scheme successfully deterred price competition in 2017 when (redacted) introduced a (redacted) 335. Amazon concluded that its first-party anti-discounting strategy ultimately helped induce (redacted) to stop competing on price through its pickup discount program. In an internal planning and strategy document, Amazon determined that its first-party anti-discounting algorithm created a (redacted) 336. In response to Amazon’s anti-discounting conduct, (redacted) Amazon estimated that (redacted) 337. At one point in 2019, after enduring years of Amazon’s algorithmic disciplining (redacted) Continue Reading . Here About HackerNoon Legal PDF Series: We bring you the most important technical and insightful public domain court case filings. This court case 2:23-cv-01495 retrieved on October 2, 2023, from is part of the public domain. The court-created documents are works of the federal government, and under copyright law, are automatically placed in the public domain and may be shared without legal restriction. ftc.gov

Amazon Climbed to the Top of the Ladder and Destroyed It 

Dedicated to the incomparable Mysterious Galaxy

In today's fast-paced and ever-evolving business landscape, information technology (IT) departments are the backbone of organizations. They ensure that the digital infrastructure runs smoothly, employees have access to the necessary resources, and data remains secure. A critical aspect of IT management is the efficient handling of , such as laptops, mobile devices, and peripherals. Smart lockers have emerged as a cutting-edge solution that not only ensures the security and accountability of IT assets but also streamlines the asset management process. IT assets As businesses increasingly rely on technology to operate, managing IT assets has become a daunting challenge. IT asset management involves tracking, maintaining, and optimizing an organization's hardware and software inventory. The primary goals are to reduce costs, mitigate risks, and improve efficiency. Ineffective asset management can lead to several issues, including: The Growing Importance of IT Asset Management • Without proper tracking, IT assets can easily be lost, misplaced, or stolen, leading to financial losses and potential data breaches.
• Timely maintenance and updates are crucial for the longevity of IT equipment. Failing to do so can result in costly downtimes and decreased productivity.
•	S Unmanaged IT assets can become vulnerable entry points for cyberattacks, potentially compromising sensitive data.
• Many industries have strict regulations regarding the management of IT assets. Non-compliance can result in fines and legal issues. Loss of Assets: Maintenance Challenges: ecurity Risks: Compliance Concerns: as a versatile solution to address these challenges effectively. These lockers are equipped with advanced technology, offering numerous benefits for IT asset management: Enter Smart Lockers Smart lockers have emerged -- Smart lockers provide a secure and controlled environment for IT assets. Each asset is stored in an individual locker with access restricted to authorized personnel. This level of security reduces the risk of theft or unauthorized access. Secure Storage -- Every transaction involving an IT asset, from check-out to check-in, is logged electronically. This creates an audit trail, making it easy to track who used which asset and when. Accountability is crucial for maintaining the integrity of IT asset management. Accountability -- Smart lockers are equipped with technology that streamlines the asset management process. Employees can check out and return assets using a simple and intuitive interface. This automation reduces the administrative burden on IT staff. Automated Check-In and Check-Out -- Smart lockers provide real-time visibility into the status of IT assets. IT administrators can monitor which assets are available, in use, or overdue for maintenance or return. This ensures that assets are always in optimal condition and available when needed. Real-time Inventory Tracking - Smart lockers can send notifications and alerts to IT administrators and users. For instance, they can notify IT staff when an asset is due for maintenance or when a user fails to return an asset on time. This proactive approach helps prevent potential issues. Notifications and Alerts - -- Many smart locker systems can integrate with existing IT asset management software, making it seamless to incorporate them into existing workflows and systems. Integration Capabilities -- Efficient IT asset management through smart lockers leads to cost savings. Reduced losses, increased asset lifespan, and minimized downtime all contribute to a more cost-effective IT operation. Cost Reduction Let's delve into a couple of real-world examples to illustrate the practicality and effectiveness of smart lockers in IT asset management: Real-World Examples Internal IT Asset Exchange -- Hennepin County in Minnesota has embraced smart lockers for internal IT asset exchange among its employees. The smart lockers facilitate the secure and efficient exchange of IT assets, ensuring that the right equipment is available to the right people when needed. Employees can easily check out laptops, mobile devices, or other IT assets from these lockers, and the automated tracking system keeps a detailed record of who used the assets and when they were returned. Hennepin County, Minnesota: Consumables Staging -- Orange County Sanitation employs smart lockers n a different capacity. The department utilizes these lockers for staging consumable supplies. When an employee orders consumables, the items are placed in a designated locker. The employee then receives a notification that their order is ready for pickup. This approach eliminates the need for manual distribution and ensures that employees have convenient access to the supplies they require. Orange County Sanitation: i In an era where technology drives business success, the role of IT asset management cannot be underestimated. Smart lockers offer a comprehensive solution that combines security, automation, accountability, and cost-effectiveness, making them a valuable addition to IT departments. Conclusion By leveraging these smart systems, IT teams can ensure that their assets are well-managed, secure, and always available when needed, ultimately contributing to the overall success of the organization. Embracing smart lockers as IT asset management systems is a smart move in today's digital landscape.

Leveraging Smart Lockers as Effective IT Asset Management Systems: A Brief Overview

Let's learn about via these 86 free stories. They are ordered by most time reading created on HackerNoon. Visit the to find the most read stories about any technology. Sustainability /Learn Repo 1. 5 Emerging Climate Tech Startups to Watch in 2022 and Beyond Climate change is a global challenge that can no longer be denied, and technology is here to help. Meet 5 most promising ClimateTech startups to watch in 2022! 2. Why We Should All Pay Attention To Recent Food Tech Innovations There is a lot of food tech innovations out there that have been popping up over the past few years. And food tech has become a fairly popular industry to be in 3. Greed To Green: Inside The New Trend Of Regenerative Finance How can we go from an extractive to a regenerative economic system? ReFi is the web3 answer, using crypto and blockchain to tackle climate change. 4. Sustainable Agriculture, Space Colonization, And Food Security Challenges As humans colonize space, advances in key agricultural technologies are key to achieving long term survivability and also help Earth at the same time. 5. Smart Factories And Sustainability: Is Zero Waste Possible In Manufacturing? Under the influence of Industry 4.0 and IoT, businesses are ready to switch to smart factories. The uniqueness of the moment lies in the fact that any developing and developed state is able to create a powerful foundation for sustainable development in the future. The smart factory is the element of the Factory of the Future paradigm, which in fact is a brick in building the innovative economy of the future, and mechanical engineering, by virtue of its innovative nature. 6. 3D Printed Houses? Here’s Why That’s Good News for the Housing Shortage The gulf between those who are sanguine and those who are circumspect about 3D building construction is as great as the one between the cutting-edge city of Dubai and the woods of upstate New York, which also happen to be two places where the technology has been put to use. 7. Harvard Researchers have Created Shape-Shifting Wool Fabric Researchers from Harvard University have developed a biodegradable and sustainable wool-like fabric tech with pre-programmed shape memory. 8. How AI Empower Sustainable Growth of the Organisations The propagation of artificial intelligence (AI) is making a significant impact on society, changing the way how we work, live, and communicate. AI today is allowing the world to diagnose diseases and develop clinical pathways. It is also being used to match individuals’ skill sets with job openings and create smart traffic that leads to the reduction of pollution. There are many examples of applying AI technologies in the sustainable growth of the planet and organisations. 9. Scaling a Digital Business for Sustainability: 5 Tips to Follow If you’re a digital business owner, this is the best time for you to focus on growth, expansion, and sustainability. 10. Capgemini Growth Rates Double as Sustainability Efforts Expand Capgemini is furthering their environmental sustainability efforts in 2022, and has already dropped company-wide carbon emissions by 29%. 11. "Stay hungry and go your own way", advised Felix Paul Wagner, Managing Partner of Next Mobility Lab Next Mobility Labs was nominated as one of the best startups in Mainz, Germany in Startups of the Year hosted by HackerNoon. 12. Volcanos and New Proof Methods are great, but Bitcoin's Energy Problem Falls on the Community The environmental cost of blockchain technologies and cryptocurrencies is high, but the answer doesn't only lay with energy production and better proof methods 13. The Problem with Buzzwords and Megatrends: Marketers Beware! Almost all technology products seem to be enhanced by AI, with a foot in the Metaverse and working for a sustainable future. What does all this buzz mean? 14. About Mac Sunsetting macOS Catalina Every Apple computer released prior to 2013 will be rendered obsolete and insecure, thanks to the impending death of macOS Catalina. 15. Wannie Park, Zen Ecosystems CEO, On Current Energy Infrastracture And Circular Economy Zen Ecosystems, Startups of the year nominee, provides sustainable energy solutions for small to medium-sized businesses. Here's an interview with their CEO. 16. Towards a Greener World: Discussing Sustainable Investments with Stan Bharti Forbes & Manhattan Founder Stan Bharti on his career, ideas on sustainable investing, and the future of green investments. 17. Is Cloud Computing Really More Sustainable? We've all heard the environmental benefits of cloud computing, but there are some cons as well. Is the cloud really more sustainable? 18. "Is This How Our Story is Due to End?" #COP26 Are we investing in the right things or failing to see the bigger picture in pursuit of short-term goals? 19. Making User Activity on Your Website CO2 Neutral Enrex continually looks for innovative methods in applying offsetting services in digital industries. 20. Virtual Sampling: Reducing Waste in Design & Product Development Virtual sampling has become an applicable alternative for brands to utilize in their production process. A brand like Hugo Boss are adopting this. 21. Make Your App or Site Carbon Neutral in 3 Steps 22. World's First Crypto-Fashion week: Recap And Analysis The first crypto fashion week just happened, making way for a new wave of fashion but without the materiality. 23. Sustainable Computing beyond the Cloud Extreme increases in data streams are expanding the cloud's carbon footprint; a sustainable alternative to Cloud dependence has been developed. 24. Fuelling EV Adoption: the UK’s Petrol Crisis Could See a Rise in Electric Vehicle Stock Prices Let’s take a deeper look at the opportunities that are potentially rising through the UK petrol shortage. 25. The rise of Virtual Fashion and the very first Crypto-Fashion week The first crypto fashion week just happened, making way for a new wave of fashion but without the materiality. 26. Carina Ayden On Being an Environmentalist Founder Building Resilient Products Carina Ayden, the founder of Unimaginable foods, shares her perspective on the sustainable lifestyle and becoming an environmentalist. 27. Our Code Is Harming The Planet, We Need Carbon Aware Design Patterns Our Code Is Harming The Planet. Can Carbon Aware Design Patterns Help Us Fix It? 28. Hacking the Asphalt Economy, an Infographic A look at the asphalt economy - the most recycled material on the planet. 29. Apple Co-Founder Steve Wozniak is Developing Energy Efficiency NFTs The Genesis NFTs are a resource for making the necessary energy efficiency upgrades to businesses as part of the Energy Efficiency NFT initiative. 30. Cloudflare Helps Reduce The Environmental Impact of Internet Carbon Emissions Cloudflare is releasing sustainable edge computing services and energy-efficient features to help build sustainability directly into your own applications. 31. Blockchain Application to Transform Supply Chains Towards Sustainability The self-updating and verifiable nature of the blockchain means that it can be useful in improving supply chains in an efficient and sustainable manner. 32. Why Sponsor Open Source Projects? Here's Five Simple Reasons Why sponsor open-source projects? How does your modest donation help the open-source ecosystem in making a better and sustainable problem-solving environment? 33. Introducing CloseKnit: Healthy Community For Neighbours Every good story starts at the beginning. I was five when the train jolted from standstill, slowly carrying my parents and me away from the crumbling USSR. Most of the people who I cared for in life stood outside, waving. In due time, I’ll get to see them all again — but I did not know that back then. 34. How to Solve Real Problems so that Great Products Build Themselves Natasha from hackernoon.com asks Product Strategist Dani Laity to unpack the sustainable tech product strategies and monetization models powering Aurora Sustainability—2020 Noonie Nominee in for Best Use of Tech for Good in hackernoon.com’s annual internet awards! 🚀 35. The Uprising of A Sustainable Ecosystem for the Circular Future Welcome to ÀLA.HAUSSE, The World's First Sustainable AI-Powered P2P Multifunctional Ecosystem, for Me and You. 36. An Opportunity for Clean Energy through the Ethereum Blockchain The energy industry is consistently catalyzed by innovations and is at present undergoing a double transformation- digitization is changing on the basis of value creation in this emergent sector and second, there is a smart energy transition towards renewables. 37. Female Entrepreneur Miki Agrawal Champions Global Sustainability Initiatives With TUSHY Miki Agrawal champions ongoing global sustainability and eco-friendly hygiene through her professional and personal life. 38. Can a Sustainable Business be Created on the Back of Sustainability? Starkman certainly walks the walk on sustainability, and it's best displayed in three ways, an internal belief, a dedication to people, and to planet 39. Sustainable Clothes Made From Recycled Plastic Fashion brands across the globe are striving to reduce the industry’s negative environmental impact by creating new clothing using only plastic materials. 40. People and Technology Can Restore the Planet It's hard to be optimistic when we are inundated by news of our rapidly deteriorating planet every single day. Sometimes it's hard to shake the feeling that everything is on fire, because some days it literally is. 41. Are Fish Robots Going to Save the Oceans? In this slogging thread, our community discusses the new robo-fish that comes to help us save the oceans from microplastic waste. 42. Top Sustainability Issues Plaguing the Tech World in 2020 Innovation is usually seen as the key to solving environmental problems, IoT and AI being at the core of sustainability roadmap. 43. Chinese Economy 2023: Back to Normal? China's economic and industry outlook for 2023. 44. AI for the Earth: Ushering in a Sustainability Revolution Does AI have the potential to save the planet and revert the existing global damages caused by industrialization? Let's find out. 45. Can Satellites Help Combat Global Warming? In this slogging thread, our technology channel took the chance to discuss this news about the possibility of satellites helping fight global warming. 46. How the Blockchain Can Help Us Build a More Sustainable World Learn from the masters and create a sustainable future powered by blockchain today for yourself and your organization. 47. As Pressure Mounts, Energy Companies Turn to 7 Key Technologies to Tackle Emissions As pressure mounts for corporations to reduce their environmental footprint, energy giants have ramped up investments into clean energy. 48. The Future of Bitcoin Network Will be Powered by Green Energy: Unhashed #11 Unhashed is a QnA series where I speak with top execs of new and established blockchain projects to unravel the mystery of blockchain & crypto. 49. The rise of “green” products only means we’re still adding up, albeit now without guilt In the modern aspiration economy, everything is done with intention- from what you wash your clothes with, to what you cook, to how you treat your skin. 50. Writing Proper Code Is Vital: Here's Why November of last year, OVO Energy sponsored a study finding that “If every Brit sent one less thank you email a day, we would save 16,433 tonnes of carbon a year — the same as 81,152 flights [from the UK] to Madrid.” 51. More Proof that Venture Capitalists Don’t Care About Diversity, Equity, or Inclusion Venture Capital is already known for being remarkably not diverse. Yet despite some investors being blasted for tone-deaf actions in June related to racial equity, most have not taken any lessons from the past, and fewer have updated their investment strategies to acknowledge their complicity in propagating inequality. 52. 'RecycleSmart is Uber for Waste Management,' says Marco, CTO and Founder Our Startup is called RecycleSmart and we are ‘Uber for Waste.‘ You book a pickup, prepare your (hard to recycle) waste, and we collect it and recycle. 53. The Rise of Sustainable Cities in Africa Over 55 percent of the world’s population lives in cities and, by 2050, that number is projected to rise to an astounding 68 percent. As people across the globe are increasingly moving to urban areas, there has been a corresponding rise in the awareness of the environmental impact of billions of people living on the planet. As people relocate, they are also examining the individual implications of their daily lives. 54. From Trash to Treasure: Unlocking the Potential of Trash to Cash Business Models The “Trash to Cash” business model is a concept where companies turn waste and unused items into valuable commodities that can generate revenue. 55. Sustainability in Ecommerce: What Are The Possibilities? Find out how to create a sustainable brand for your online business as well as the numerous possibilities that sustainable e-commerce offers businesses. 56. Everything You Need To Know About The Yearn.Finance Cryptocurrency (YFI) Data imbalance refers to when the classes in a dataset are not equally distributed, which can then lead to potential risks in training a model. 57. How to Choose a Sustainable Smartphone Our phones can be a source of joy, frustration but also e-waste. Here are some thoughts about what a more sustainable phone looks like. 58. Community Building Platforms: Reviewing Discourse, Discord, Ghost, and More Thoughts on how to integrate multiple systems, while building community and sustainable income. 59. Financial Products That Combine The Innovation and Purpose: The Choice of Conscious Consumers Consumers look for products that enable them to contribute to sustainability. Banks and fintech companies can address this need with innovation. 60. How the Environment is Paying for our Prime Day Discounts The Lightning Deal timer is ticking away. You're frantically scraping through hundreds of discounts. Finally, after a barrage of Prime deals and discounts, you find the one: a deeply discounted, 30% off Amazon Echo. 61. Why Business Owners Should Pay Attention to Sustainable Startups and Entrepreneurs Why sustainable startup initiatives are becoming more popular among younger investors and why business owners should take notice of this growing trend. 62. Recycling Spoiled Milk to Make Fashionable T-Shirts Mi Terro uses its very own reengineering technology to create milk fibers from spoiled milk. Potentially replacing the use of plastic in the fashion industry. 63. Hacking a Sustainable Future [Infographic] A look at how sustainability and eCommerce can go hand in hand. 64. 2020 Was The Year Electric Vehicles Truly Arrived 2020: Year of the EV Launch 65. MobileCoin is the World's First Carbon-Negative Cryptocurrency MobileCoin has a significantly smaller impact on our planet and uses far less energy compared to other cryptocurrencies. This is how... 66. Sustainability In Blockchain The environmental impact of the blockchain is not to be underestimated. Finding a way to make it more sustainable is an important task that needs to be done. 67. CO2 Has Never Smelt So Good: Making Perfume out of Carbon Emissions LanzaTech has coined the term carbon-negative to define the process of creating perfumes alongside Coty. 68. Connecting The Dots Between Blockchain and Sustainability Growing up in South Africa, the team at Wildcards witnessed first-hand the impact of poaching, pollution, poisoning and other forms of destructive human behavior leading to the extinction and endangerment of hundreds of animal species. 69. Art for good, but are NFTs the answer or part of the problem? Artists are taking to NFT platforms, but that causes a sustainability dilemma. Could a better mix of technology and circular economy be a better fit? 70. GHG-Removal Could Be the Biggest Market of the 21st Century GHG-removal is a $10trln annual market opportunity that is yet to be tapped by new investors, innovators and entrepreneurs. 71. Towards Sustainable Sneakers: 1 Pair of Sneakers Emits 13 kg of CO2 Did you know each pair of sneakers emits 13 kg of CO2? That’s equivalent to keeping your lights on for one week straight! 72. Building a Sustainable and Value-driven Crypto Ecosystem Short dive into what must be done for crypto so survive. 73. Our Guide for Unmaintained Open Source Projects There are some really great guides for starting a new open source projects, yet when it comes to dealing with a possibly abandoned, unmaintained project, there is no definitive guide for users, contributors, or maintainers. 74. Adidas FutureCraft: Toward Sustainable Shoes Sportswear brand Adidas has just announced the release of their newest running shoe made from recycled material. 75. What Retailers Can Do with Excessive Inventory Pile Up from the Pandemic Are retailers focusing on sustainable options to move excessive inventory? 76. How Blockchain Technology Improves Environmental Sustainability We are seeing blockchain reach a wider breadth of applications than it seems at first glance. That includes its role in increasing sustainability. 77. How Can Technology be Sustainable? We live in a world where tech waste and climate change are a reality. In this slogging thread, we couldn't help but wonder how can technology be sustainable. 78. Shelf Edge Technology: Digital Price Tags Using Renewable Energy Sustainable, cost-effective, and consumer-friendly: digital price tags are entering the fashion industry through shelf-edge technology. 79. Blockchain Tech in the Fashion Industry: Transparency, Traceability, and Efficiency Blockchain technology gives us essential knowledge and provides an insight into the fashion supply chain. 80. Novel Solutions for Inclusive Digital Currencies An efficient, interoperable, scalable, and quantum encrypted CBDC solution for sovereign monetary systems of the future, possible today. 81. 6 most Eco-friendly Cryptocurrencies in 2021 Crypto is still in its early stage, it's a bit eccentric, very economic, educational, effective, efficient, elaborate, enthralling even. But is it eco-friendly? 82. Three Effective Strategies to Collectively Alter Our Carbon Footprint Our current efforts to solve climate change suck and also don’t suck enough. In this piece I have collated some research on sucking carbon out of the air, carbon pricing, Australia’s current renewable plans and carbon consumption habits. 83. 7 Ways to Promote Sustainability in the Workplace We want to work, live, and play in a way that isn’t going to cost us the planet and, where possible, can potentially restore nature to what it once was. 84. Introducing The Triple Layer Business Model Canvas The Business Model Canvas is a great tool for entrepreneurs, yet one that is not without flaws. 85. Argentina’s Steady And Visionary Path To Space Is An Inspiring Tale Which path is required for us to reach new worlds? Argentina’s history in the space industry shows an unwavering course of perseverance and resilience. 86. Discovering Web3 Gaming with Long Do and Laura Cullell In this exciting AMA, we're joined by Long Do and Laura Cullell from Anomura, an NFT pixel art play-and-earn gaming experience. Thank you for checking out the 86 most read stories about Sustainability on HackerNoon. to find the most read stories about any technology. Visit the /Learn Repo

86 Stories To Learn About Sustainability

Stories, News & Mentions about PICKUPP

Pickupp’s Stories on HackerNoon