Time series forecasting of retail items
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Updated
Jan 17, 2022 - Jupyter Notebook
Time series forecasting of retail items
It contains the code and data for M5 Forecasting - Accuracy competition on Kaggle.
Data for M5 Walmart Kaggle Competition
A production-ready, end-to-end system for spare parts inventory management. This project combines advanced forecasting (TSB, Prophet, SARIMAX), mathematical optimization (CPLEX), and supply chain simulation (anyLogistix) to achieve 98.9% forecast accuracy and a 39% ROI improvement.
Source code for the M5 Forecasting - Accuracy challenge, that was originally hosted on the Kaggle platform.
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