We score every order and appointment by its real risk, based on your history, and turn that into actions with a cost and a payoff: size checks, charging for return shipping, stronger reminders or careful overbooking.
The assessment on your data is free, with no commitment.
new customer · large order · 3 sizes of the same item
The “three sizes of the same item” pattern triggers a size check before shipping.
A 24-hour shipping hold when a new customer, a high order value and a steep discount coincide.
Stronger reminders and overbooking where a no-show is likely, without punishing everyone else.

Orders and returns (or appointments). CSV or Excel: we detect the entities and columns automatically.
We check against your own history and a traffic light tells you how much confidence each figure carries.
Every action with its cost and legal note: size check, shipping charge, exchange before refund, shipment hold.
74
times out of 100 it tells a returned item from one that wasn’t, in a blind test on 805,620 real order lines from a public dataset (Online Retail II, UCI). The “returned before” rule gets 57; chance, 50.
57/100
what the usual rule (“this customer has returned before”) gets in that same test: barely better than a coin toss.
10%
control group left untouched: the value is proven, not estimated
We’ll show you, for free, what you could save with your own history. No integrations, no commitment.
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