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 ...
This project demonstrates Inspix BI Solutions’ ability to tackle time series forecasting problems using advanced statistical methods. The goal is to accurately predict hourly bike departures for the ...
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