Real-Time Inventory Intelligence
AI-driven stock management with demand prediction.
Go beyond simple stock counts. Our inventory intelligence system uses AI to predict demand, optimize reorder points, prevent stockouts, and distribute inventory across warehouses and channels for maximum availability.
-67%
Stockout Reduction
-42%
Overstock Reduction
91%
Forecast Accuracy
-23%
Inventory Carrying Cost
Innovaciones clave
Demand Forecasting
ML models analyze historical sales, seasonality, trends, and external factors to predict demand 30-90 days ahead.
Dynamic Reorder Points
Reorder levels adjust automatically based on current demand velocity, lead times, and safety stock requirements.
Multi-Warehouse Balancing
Suggests inter-warehouse transfers to optimize stock distribution based on regional demand patterns.
Channel-Aware Allocation
Reserves inventory per sales channel to prevent overselling while maximizing availability.
Detalles técnicos
Preguntas frecuentes
How much historical data is needed?
The system works with as little as 3 months of sales data. Forecast accuracy improves significantly with 12+ months of history. For new products without history, we use category-level demand patterns.
Does it work with multi-warehouse setups?
Yes. The system tracks stock levels per warehouse and per channel, suggesting transfers and rebalancing automatically based on regional demand patterns.
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