Authors:
(1) Saketh Reddy Karra, University of Illinois Chicago, 601 S Morgan St, Chicago, IL 60607, United States;
(2) Theja Tulabandhula, University of Illinois Chicago, 601 S Morgan St, Chicago, IL 60607, United States.
Table of Links
6. Conclusion
In this paper, we introduced InteraSSort, an interactive framework designed to empower planners with limited optimization expertise in deriving insightful solutions to the assortment planning problem. InteraSSort facilitates interactive optimization by generating responses to variations of the optimization problem based on user requests. By harnessing the inherent strengths of instruction-tuned LLMs such as comprehension and reasoning, InteraSSort excels in interpreting user requests and breaking them down into distinct function parameters, that enable flexible assortment planning. Subsequently, InteraSSort intelligently calls and executes the most appropriate optimization tools and translates the solutions into concise, easily interpretable responses for the user. Overall, InteraSSort enables working with assortment planning problem effectively through interaction, and the framework can be easily extended to other marketing problems in the field of operations management.
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This paper is
