For shops, online and in store
Know who will buy again, what will sell, and what looks wrong
Win back customers before they drift, stock what will sell with holidays and paydays in view, and stop odd orders before they ship.
Most asked
- A ranked list with reasonsKnow who will order againMost customers buy once and drift away. A discount sent to everyone costs margin on people who would have come back anyway.Starts in one click
- A forecast, period by periodPlan stock for the weeks aheadToo much stock ties up cash; too little loses the sale. Last year's numbers miss the long weekend and payday.Starts in one click
- A number per row, with a rangeWhat each customer will be worthEvery customer gets the same treatment, so the few who bring most of the revenue are served like everyone else.Starts in one click
- A ranked list with reasonsWhich orders will come backReturns eat shipping, handling and margin, and most of them could be seen coming at checkout.Starts in one click
Go further
- Groups that behave alikeCustomer groups for your next campaignOne newsletter for everyone talks to no one. Hand-made segments miss the groups hiding in the data.Ready-made settings
- Suggestions per customer“Customers also bought”, per customerBest-seller lists show the same products to everyone, even to people who already bought them.Ready-made settings
- Unusual rows, with whyCatch odd orders before you shipA fraudulent order or a typo in the quantity is found after it ships, when the money and the stock are gone.Ready-made settings
- Items found and countedCount stock on a shelf from one photoCounting by hand takes hours and is wrong by the time it is typed in.Bring your photos, documents or AI logs
Works with the tools you use
Connect a tool, or upload a spreadsheet. Your data stays private to your account.
- Shopify
- WooCommerce
- Square
- Google Analytics
- CSV · Excel
The outside world, already joined
Each outside factor is tried on your data and kept only when it makes the result better.
Weather
Open-Meteo, by city
Holidays
US and Canadian calendars
Paydays and long weekends
Calendar
Inflation
Consumer prices, via FRED
Consumer confidence
University of Michigan, via FRED
Orders next week
1,240
0% vs today
Illustration. On your data, the numbers come from your own model.
Want us to set it up with you?
Tell us what you use. We'll connect it with you and walk you through the first result.