Authors:
Zhaoxia Huang, Sebastián Villegas
MIT Supply Chain Management Program (SCM)
53
Summary:
Our sponsor, a beverage bottling manufacturer, is facing demand forecasting challenges due to heavy reliance on manual interventions and a lack of advanced tools like ML/AI. This project aims to improve forecasting accuracy and efficiency by focusing on tactical forecasts using various models tailored to different SKU segments. We will evaluate current processes, explore ML/AI integration, test hybrid approaches, and recommend the best forecasting models for each SKU segment.
