Feature
Know what will run low before the shelf is empty.
Stockout prediction is where pantry history becomes useful. Rather than just showing what was bought, Neumas estimates what is likely to be needed next.
1. Prediction from behavior
Neumas learns from purchase frequency, item recurrence, and household patterns to estimate when staples like eggs, milk, rice, or cooking oil are likely to run low.
2. Signals that stay interpretable
Predictions should be understandable. Neumas focuses on practical outputs such as days remaining, expected restock windows, and list recommendations.
3. Planning instead of firefighting
Proactive household planning reduces emergency runs, inflated convenience purchases, and the stress of discovering a missing ingredient too late.
Start with the public overview, then try the product.
Neumas keeps core company and product information public while private dashboards remain authenticated and protected.