Historical sales, weather, events, and operational data flow in from connected systems.
70+ algorithms evaluated automatically to find the best fit for each location.
Demand predictions generated at 15-minute intervals, up to weeks in advance.
Every actual outcome improves future predictions through automated feedback loops.
Combines sales history, weather, local events, holidays, and custom variables into a single prediction model.
70+ algorithms tested. The best model wins for each location, automatically recalibrated as conditions change.
Predict demand at the level that matters for staffing decisions, not just daily or weekly averages.
Automatic weather integration adjusts forecasts based on conditions, so you are never caught off guard.