Feature ยท ๐Ÿ“ˆ

Demand Forecast

Tomorrow's revenue with a confidence range, modelled on your POS history plus the Indian calendar, weather, and salary cycles.
What it does

Demand Forecast in plain English

The forecast engine takes your POS sales history and projects tomorrow's revenue with a confidence range. It uses the Indian calendar (Shravan, Navratri, Ekadashi, Eid, Diwali, IPL) as exogenous signals, weather as another, and salary cycles as a third. The model is statistical (statsforecast AutoARIMA with cross-features), not a black box, so we can show you exactly which signal moved tomorrow's number.
Examples

What you actually see

โ‚น16,800 forecast tomorrow (-44% vs average โ€” Shravan starts in 4 days, Monday fasting, college exam week).
โ‚น35,200 forecast (-12% โ€” heavy rain expected through dinner; aggregator orders should partially compensate).
โ‚น62,400 forecast (+38% โ€” IPL Mumbai vs Chennai at 7:30pm, salary day Friday).
Inputs

What powers it

  • POS sales history (Petpooja, UrbanPiper, Posist, or CSV)
  • Indian calendar โ€” festivals, fasting days, Hindu wedding muhurat, Eid, Christmas, school-board exam windows
  • Weather (OpenWeatherMap forecast for your pincode)
  • IPL match schedule
  • Salary cycle (1st-of-month, last-week-pre-salary)
FAQ

Demand Forecast FAQ

Related reading

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Restaurant demand forecasting for India โ€” Forkcast | Forkcast