AI MODULE · DEMAND FORECASTING
Demand Forecasting
14-day SKU-level demand prediction — updated from every transaction
The NexuSphere AI Demand Forecasting model predicts how much of each SKU your business will need over the next 14 days — updated continuously as orders, fulfillments, and returns are processed. It learns your seasonal patterns, velocity trends, and anomalies — not generic benchmarks.
What's live in production
Demand Forecasting — fully live
14-day rolling demand forecast
SKU-level predictions on a 14-day rolling horizon, updated continuously from live O2C events. Not a static report — a live model that adjusts as your business moves.
Stockout risk flagging
When demand forecast exceeds projected stock levels accounting for lead time, NexuSphere AI flags the SKU in the Exception Queue with a stockout risk score and recommended reorder quantity.
Seasonal pattern detection
The model learns seasonal velocity patterns specific to your catalog — not industry averages. Holiday spikes, weather-driven demand, and promotional uplift are detected and factored automatically.
Velocity trend analysis
Identifies SKUs with accelerating or decelerating sell-through. Rising velocity SKUs get earlier reorder triggers; slowing SKUs get drawdown recommendations to prevent overstock.
Forecast accuracy tracking
Every prediction is tracked against actuals. Model accuracy is visible in the ML Hub dashboard. The model flags when accuracy degrades so you know when to review assumptions.
Integration with Inventory Optimization
Demand forecasts feed directly into the Inventory Optimization model, enabling optimal reorder quantity calculations that account for both demand uncertainty and vendor lead times.
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