Demand Forecasting & Inventory
Anticipate demand with granular ML forecasting, optimize stock allocation in real time, and reduce stockouts while minimizing costly overstock across your network.
SKU-Level Demand Forecasting
Know what sells, where, and when — before it happens.
Advanced ML models trained on multi-year historical sales data, external economic signals, weather patterns, and competitive intelligence generate accurate demand forecasts at SKU, store, and regional level. Continuous model retraining improves accuracy as new data arrives.
- ML models trained on sales history, seasonality, and external signals
- Granular forecasting at SKU, store, channel, and regional level
- Seasonal and promotional demand prediction with accuracy targets
- Continuous retraining from fresh market and transaction data
Dynamic Inventory Allocation & Replenishment
Zero stockouts. Zero overstock. Maximum capital efficiency.
Translate forecasts into dynamic inventory allocation decisions across your fulfillment network. Automated replenishment triggers, safety stock optimization, and multi-location balancing keep the right inventory in the right place while freeing working capital.
- Dynamic inventory allocation using real-time demand signals
- Automated replenishment triggers and safety stock optimization
- Overstock reduction and capital release through inventory balancing
- Multi-location fulfillment optimization for on-time delivery
Ready to stop stockouts and eliminate costly overstock?
See how NATIS helps retailers deploy granular ML demand forecasting and automated inventory optimization across their entire network at SKU and store level.