Feature ยท ๐
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
โน16,800 forecast tomorrow (-44% vs average โ Shravan starts in 4 days, Monday fasting, college exam week).
โน35,200 forecast (-12% โ heavy rain expected through dinner; aggregator orders should partially compensate).
โน62,400 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
Holi and Baisakhi demand playbook
North and West India festival planning.
Ganesh Chaturthi demand playbook
Modak, catering surge, and staffing in Maharashtra.
College exam week demand
Campus-area ordering patterns during exams.
Kitchen throughput cap
When forecast exceeds what your kitchen can cook.
Break-even check
Daily shopping list
Staffing plan
Viability score for pre-launch
Get started
See demand forecast on your own data
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