Inventory Management AI
Client: Regional Retail Chain
small-business
Project Overview and Challenges
Overview
An AI-based system to optimize inventory levels across a regional retail chain, ensuring product availability while minimizing holding costs.
Challenges
The client struggled with frequent stockouts of popular items and overstocking of slow-moving products, leading to lost sales and increased costs.
Solution
Implemented an AI forecasting model to predict demand and an optimization engine to recommend optimal stock levels and reorder points for each store.
Results
Reduced excess inventory by 30%, decreased stockouts by 40%, and improved overall profit margins by 10%.
Technologies Used
PythonScikit-learnSQLTableauAWS Sagemaker
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