After hoursAI Demand Forecaster
Know what Tuesday morning will buy.
Every night the AI Demand Forecaster reads your order history, day-of-week patterns, festivals and the weather forecast for your pin code, then predicts demand by hour and by item. It drafts the purchase order. Your manager approves it.
Runs after hours and between orders, ready for the next 15 minutes
By hour
Plan pickers and riders for the 7 am and 8 pm peaks.
By item
Milk +22%, bread +18% on a Monday morning.
Orders by hour
612 expected
By weather
Rain tomorrow evening? Instant noodles +35%.
Draft PO, human approval
64 SKUs suggested, nothing sent until approved.
Step by step
What happens after the shutter comes down.
- 10:30 pm
Read the day
Today's sales, stockouts, swaps and near-misses feed the model.
- 10:35 pm
Forecast
Demand by hour and item for tomorrow, with weather and calendar effects.
- 10:40 pm
Draft
Reorder quantities per supplier, plus near-expiry items marked to discount.
- 10:55 pm
Approve
The manager edits and approves on the phone. Stock arrives by 5 am.
What it does
Forecasts you can read in one screen.
Weather aware
Rain, heat and cold shift demand for specific categories in your pin code.
Calendar aware
Festivals, school holidays, salary days and long weekends.
Hourly demand curve
Expected orders per hour to plan shifts for pickers and riders.
Draft purchase orders
Quantities per supplier, respecting pack sizes and minimum order values.
Expiry-led discounts
Items likely to expire before they sell are suggested for an offer.
Reasons shown
Each suggestion shows why: Monday pattern, rain, festival or a trend.
The small things
The forecast learns your street.
- Separate models per store, not per city
- New stores start from similar nearby stores
- Stockout days corrected so lost demand is counted
- Manager edits feed back into the next forecast
- Forecast accuracy shown per category every week
- Works from 30 days of order history
Built-in rules
The AI suggests. People decide.
Approval required
No purchase order reaches a supplier without a manager's approval.
Explained suggestions
Every number comes with the reason behind it, in plain words.
Your data, your model
Store data trains your store's forecasts and is never sold or shared.
Encrypted
Sales and customer data are encrypted in transit and at rest.