This sandbox helps planners test how demand history, stock levels, lead time and service targets affect replenishment decisions. It turns SKU-level data into forecasts, risk bands and reorder recommendations that a supply team can act on.
Supply teams are often asked to balance two risks at the same time: stockouts that disrupt service and overstock that locks up working capital. This project demonstrates how a simple forecasting layer can make that trade-off visible by SKU, warehouse and region.
A planning flow from demand history and inventory data to forecasts, stock-cover checks, reorder points and an action queue.
This forecasting framework supports any organisation that needs accurate inventory or distribution planning across multiple SKUs.