Solution Description
Demand Forecasting
- Predicts future sales at SKU, store, and channel levels.
- Uses machine learning to factor in:
- Seasonality
- Promotions
- Local events
- Weather
- Historical sales trends
Automated Replenishment
- AI triggers restocking based on real-time sales and inventory data.
- Optimizes reorder points and quantities to avoid overstock and stockouts.
Inventory Optimization
- Balances inventory across locations (stores, warehouses, fulfillment centers).
- AI recommends transfers or reallocation to meet demand efficiently.
Shrinkage & Waste Reduction
- Detects anomalies in inventory data that may indicate theft, spoilage, or miscounts.
- Suggests corrective actions and process improvements.
Safety Stock & Buffer Optimization
- Dynamically adjusts safety stock levels based on demand variability and lead times.
- Reduces excess inventory while maintaining service levels.
Omnichannel Inventory Visibility
- Provides a unified view of inventory across all sales channels.
- Supports fulfillment strategies like BOPIS (Buy Online, Pick Up In Store) and ship-from-store.
Scenario Planning & Simulation
- AI models simulate the impact of different inventory strategies.
- Helps retailers prepare for demand surges, supply chain disruptions, or new product launches.