Prediction starts with evidence
Each confirmed purchase becomes a structured observation. The baseline method compares valid intervals, weights recent history, detects extreme outliers and considers source and quantity consistency.
Recurring shopping
NeedPace learns from confirmed purchase intervals and presents an estimated next-purchase window with confidence.
The question is not where to type milk or bread. It is how to notice that coffee, pet food or dishwasher tablets may be needed again before the last pack becomes urgent.
Each confirmed purchase becomes a structured observation. The baseline method compares valid intervals, weights recent history, detects extreme outliers and considers source and quantity consistency.
The product does not claim to know when something physically runs out. It displays a likely next-purchase window, confidence level, calculation version and supporting observations.
Marking a Need as bought creates a new purchase event and recalculates the cycle. Corrections, changed quantities and dismissed predictions remain attributable and auditable.
Add the latest purchase and give the system a useful first observation.
Go to NeedPace