Target Inventory Level Optimization for FMCG Baby Care: A Demand Distribution-Agnostic Approach with Supervised Learning

Authors:
Firanza Fadilla, Philip Zhang
MIT Supply Chain Management Program

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Summary:
This capstone is focused on exploring how machine learning based forecasting techniques can be employed to enhance the accuracy and reliability of demand predictions. The goal is to identify the minimal target inventory level to achieve the desired service level, aligning inventory management with real-world demand patterns.


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