Your shelf knows what sells.Now it knows what's coming.

Forecastify reads weather, festivals and your own sales log to say what to stock next, and shows the reasoning behind every number.

Open the consoleSee how it thinks

Peak driven by

Ganesh Chaturthi, plus three days of forecast rain

SoldForecastConfidence range

Illustrative data for a single product.

There are only two ways a shop loses money.

Both come from the same place. Somebody had to guess how much to buy, and the guess was made from memory.

A shopkeeper turning a customer away from an empty fridge while the customer walks to the shop next door.

You ran out

The customer wanted it, you did not have it. They walk to the next shop, and often they keep going there.

82%

fewer stockouts, the target this system is built to hit

A shopkeeper checking a clipboard against shelves of expiry-tagged stock, with expired goods already in the bin.

You bought too much

Capital sits on the shelf until the date passes. Then it is not stock any more, it is loss you already paid for.

76%

less expiry waste, the target this system is built to hit

A till only records the past. These say something about next week.

Rainfall forecast
Festival calendar
Competitor offers
Shelf life remaining
Supplier lead time
Day of week
Nearby store demand
Temperature swing

It listens before it counts.

Every sale you ring up joins the rain due on Thursday, the festival two weeks out, and the offer the shop across the road just posted. One product, many signals, all of them local to you.

The curve bends before the week does.

Those signals become a number with a range around it. Not a single confident guess, but an honest span: this much, probably, and here is how sure the model actually is.

Then it shows its working.

Every forecast breaks down into the things that moved it, each with its own weight. If you disagree with the reason, you can disagree with the number. A figure you cannot interrogate is a figure you cannot trust.

And it stops, because you decide.

Forecastify proposes the order. Accept it, adjust the quantity, or throw it out. Nothing reaches a supplier until a person says so. The instinct stays yours, the arithmetic stops being yours.

The whole idea

A number you cannot question is a number you cannot use.

Most forecasting tools hand you a figure and expect belief. Forecastify treats every prediction as a claim that has to defend itself. Ask it something.

Attribution

Because 141 units is what the model expects on the festival weekend. Four signals moved it, and the largest was the festival itself at plus 42 percent against a normal Saturday.

Forecasting is the hard part. The rest should just happen.

A neighbourhood grocery counter at the start of the day.

The morning brief

What to reorder, what expires this week, who owes you money, and what yesterday actually earned. Waiting before you open the shutters.

Khata, without the notebook

Credit given, credit due, and who to remind. The ledger every kirana already keeps, kept properly.

₹11k

outstanding across 23 customers, in this sample ledger

Expiry shield

Batch level shelf-life tracking that proposes a discount while the stock is still worth something.

Procurement

Purchase orders, goods receipts and supplier prices, with a browser extension that fills the distributor cart for you.

One shop, or forty

Stock transfers between outlets, central purchasing, and ten permission roles so a cashier sees the till while the owner sees the region.

roles: 10
consoles: 30
languages: 2

Ask it out loud. In your own language.

The console speaks English and Hindi, and it answers by voice. A shop owner should not have to learn dashboard vocabulary to run their own shop.

Jarvis

Aaj kitna bika?

How much did we sell today?

₹18,240 across 96 bills. Cold drinks led, up 31 percent on last Tuesday.

Stock what sells. Skip what does not.

Bring your sales log. Forecastify handles the arithmetic and hands the decision back to you.

Open the consoleSign in