Insight
SKU × location
Forecast grain. Forecasts match how planners actually order.
Use case
Demand forecasting for inventory
Radiantze builds product-and-location forecasts so planners order closer to real demand across the network.
Order closer to real demand, store by store
Radiantze trains forecasting models on sales history, seasonality, promotions, and external signals at the product-location grain planners order against.
Confidence intervals and ERP-ready feeds connect forecasts to replenishment workflows, measured against planner baselines in a focused pilot before the program expands.
Insight
Seasonal
Pattern capture. Holiday, weather, and promo effects modeled explicitly.
Insight
ERP-ready
Integration. Outputs feed existing planning and procurement systems.
Partnership
Radiantze rollout pattern
Forecasting value shows up when outputs connect to replenishment and are measured against planner baselines.
- Audit sales and inventory history for gaps and anomalies.
- Build baseline forecasts from current planner methods.
- Pilot on a subset of SKUs and locations.
- Compare forecast error and stockout/overstock rates.
Outcome
Enterprise outcome
Planners order closer to demand with less waste and fewer stockouts, spending less time on spreadsheet reconciliation.
Radiantze capability stack
Demand models
Product-location forecasts with uncertainty bands planners can trust when setting order quantities.
Promo & event features
Campaigns, holidays, and calendar effects incorporated so peaks are planned rather than guessed.
Planner dashboard
Override, annotate, and track forecast accuracy by category inside a single planning view.