Given the current complex state of global supply chains, industry leaders now view AI as not just a smart solution but a critical necessity for securing a competitive advantage.
A recent
Among the highest-performing organizations surveyed:
- 88% acknowledge the inevitability of AI in their industry
- 95% consider AI central to their innovation success.
COOs and CSCOs are increasingly turning to AI and cognitive computing to address various supply chain and
How Does AI Impact Supply Chain Management?
As per a recent
- Actionable Insights: Despite investments in data and business intelligence, organizations often grapple with fragmented data sets. AI excels at processing vast data sets, identifying patterns, and forecasting implications during supply chain disruptions.
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Informed Decision-Making: AI offers predictive
insights and recommendations to enhance supply chain performance and resilience, refining recommendations as circumstances evolve. -
End-To-End
Visibility : AI creates a unified data layer, revealing causality, potential bottlenecks, and real-time areas for improvement in complex global supply chains. -
Reducing Manual Labor: AI alleviates the burden of manual data gathering from disconnected systems and outdated tools, allowing procurement professionals to focus on strategic tasks.
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Staff Augmentation: Amid labor shortages and an aging workforce, AI enhances workforce performance, enabling employees to work more efficiently.
But, Microsoft took this transformation further with its new Copilot AI.
Copilot AI
Microsoft's Dynamics 365 Supply Chain Management focuses on AI-first capabilities for improved risk management, inventory control, and agile planning, empowering businesses to make well-informed decisions throughout their supply chain. This is the world’s first AI copilot natively built-in to both CRM and ERP applications.
The introduction of Copilot AI features in Dynamics 365 was a big achievement for Microsoft, demonstrating the company's commitment to utilizing generative AI to elevate supply chain management. These capabilities offer businesses an efficient solution to solve the market challenges.
Let’s take a look at 4 use cases of Copilot for the supply chains.
Predictive Insights
Copilot elevates the AI experience by providing predictive insights that identify affected orders throughout different aspects of the supply chain, such as materials, inventory, carriers, and distribution networks.
This comprehensive insight equips supply chain managers with the data required to make prompt and well-informed decisions.
Effective Real-Time Problem Solving
With Copilot's contextual emails, supply chain managers can quickly spot updated estimated arrival times and redirect purchase orders. For instance, if there's unexpected bad weather, businesses can swiftly adapt by fulfilling urgent customer orders from different distribution centers, ensuring prompt and complete customer satisfaction.
Disruption Management
Copilot's core strength lies in its AI-powered approach to supply chain management. The days of responding to disruptions only after they've happened are over. Copilot uses intelligence from its news module, allowing businesses to notice external influences, such as weather, financial shifts, and geopolitical developments, that could affect essential supply chain operations.
Contextual Outreach
What sets Copilot apart is its proficiency in translating insights into concrete actions. Leveraging the Azure OpenAI Service, this tool creates tailored and situation-specific contextual email outreach.
As a result, supply chain managers can efficiently save time while seamlessly collaborating with impacted suppliers.
A Step Forward in Supply Chain Management Technology
The introduction of Copilot AI and demand planning features in Microsoft's Dynamics 365 Supply Chain Management platform is a big step forward in supply chain technology.
Microsoft's use of AI and ML helps businesses deal with the complexities of supply chain management, make better decisions, and drive growth and innovation.
It will be exciting to see how businesses react to these new capabilities and their impact on the supply chain management field as the platform evolves.