Machine learning fused with causal drivers - promo, price, weather, macro - sensed daily at SKU-store-day. Every prediction explained, every planner touch measured.
Sales, marketing, and supply override the same grid - every touch logged, attributed, and scored for value-add next cycle.
POS, orders, weather, and web signals fused hourly - the near-term forecast never waits for the monthly cycle.
Price, promo, holiday, and macro drivers modeled explicitly - so the forecast explains itself, driver by driver.
Uplift, cannibalization, and pull-forward estimated per event - trade spend finally earns a forecast, not a guess.
Launch curves built from attribute look-alikes - new items start with a real forecast on day zero.
Every touch measured against the untouched baseline - keep the overrides that add value, retire the rest.
One grid for sales, marketing, and supply - assumptions owned, deadlines enforced, disputes settled with data.
Standard connectors pull history, hierarchy, and calendars from your ERP and lake. Data quality scored automatically.
Models trained and backtested on 24 months of your history - accuracy proven against your incumbent before go-live.
Planners run consensus on real numbers with DemandLabs AI alongside. Value assessment lands with your CFO in week ten.
Our planners stopped arguing about whose number was right and started arguing about what to do with it. That's the whole ballgame.