Artificial Intelligence

    

Application of AI Agents for Dynamic Assortment Planning in Retail

Authors: Arvind Sundara Rajan, Ravirajan K

This paper attempted to exhibit the application of Artificial Intelligence(AI) in system for optimizing product assortments in a retail environment. By leveraging AI and machine learning (ML) ML algorithms and techniques, the system analyzed consumer data, sales trends, and inventory levels to dynamically adjust product assortments. The approach integrated predictive analytics and decisionsupport frameworks using the advanced AI applications and novel methods in ML employed to improve customer satisfaction and maximize revenue. This paper discussed the detailed methodology and its appropriate algorithms with opted mathematical explanation and real-life benefits in business problem were derived out of this proposed system, along with its potential to transform retail assortment planning.

Comments: 10 Pages. CC by attribution

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Submission history

[v1] 2025-01-29 04:18:00

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