AI Sub-Module
Demand Forecasting
Predict demand before it hits your shelves — with continuous learning from real retail signals.
Overview
Nexusphere’s Demand Forecasting module continuously learns from real-time order, inventory, promotion, and fulfillment events to predict demand at the SKU × location × channel level.
Forecasts update automatically as conditions change — promotions launch, supply constraints appear, or demand shifts unexpectedly.
Models & Intelligence
- Time-series forecasting across short- and mid-term horizons
- Event-driven demand signal extraction
- Promotion and seasonality impact modeling
- Confidence bands and forecast uncertainty scoring
Key Retail KPIs
- Forecast Accuracy (MAPE / WAPE)
- Bias (over-forecast vs under-forecast)
- Service level impact
- Stockout risk
- Excess inventory risk
How Retailers Use It
- Improve replenishment and allocation decisions
- Reduce overbuying and markdown exposure
- Align inventory with real demand signals
- Feed downstream inventory and procurement modules
High-Level Operating Approach
- Capture demand signals across all channels
- Continuously retrain forecasts as events occur
- Publish forecasts with confidence intervals
- Feed results directly into execution workflows