AI MODULE · INVENTORY OPTIMIZATION
Inventory Optimization
ML-driven reorder recommendations — before you run out
The NexuSphere AI Inventory Optimization model analyzes current stock levels, demand forecasts, historical velocity, and vendor lead times to generate specific reorder recommendations — the right quantity, for the right SKU, at the right time. It prevents both stockouts and overstock simultaneously.
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Inventory Optimization — fully live
Optimal reorder quantity per SKU
Calculates the optimal order quantity for each SKU based on demand forecast, current stock, safety stock requirements, and vendor minimum order quantities. Updated as velocity changes.
Reorder timing based on lead time
Factors vendor lead times into reorder recommendations. If a supplier takes 14 days to deliver, the reorder trigger is set 14 days before projected stockout — not after.
Overstock identification
Identifies SKUs where current stock exceeds projected demand over the sellable horizon. Surfaces drawdown recommendations to free capital tied up in slow-moving inventory.
Safety stock recalculation
Safety stock levels recalculate automatically as demand velocity changes. Fast-moving SKUs get higher safety stock; slowing SKUs get lower. No manual updates required.
Supplier lead time adjustment
When supplier lead times change — detected via item receipt patterns — the model updates reorder triggers automatically for all affected SKUs.
Integration with Demand Forecasting
Inventory Optimization uses Demand Forecasting outputs as its primary input. The two models work together — demand uncertainty is factored into safety stock and order quantity calculations.
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