Built an end-to-end SKU-level demand forecasting system in Python using Jupyter Notebooks, leveraging Prophet and ARIMA models to predict monthly sales for 12,000+ automotive chassis parts—enabling ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback