Fraud detection
Score transactions in real time using device, payment, account, and behaviour signals. Rules stay visible to your risk team.
Under 50mst
nt nt ntTan & Co. builds AI that detects fraud, adjusts pricing, recommends products, and predicts churn. Your team gets clearer decisions while every transaction keeps moving.
Each engine connects to the systems your teams already use. Start with one pressure point, then add the next.
Score transactions in real time using device, payment, account, and behaviour signals. Rules stay visible to your risk team.
Under 50msUpdate prices around demand elasticity, competitor movement, inventory, and margin targets without a daily spreadsheet ritual.
+9% marginCombine catalogue attributes with browsing and buying behaviour to place useful next products across your customer touchpoints.
More relevant cartsFind customers showing early signs of departure through usage, support, and payment patterns. Give retention teams time to act.
23% savedGroup customers by predicted value and growth potential, then send those audiences into the channels your marketers manage.
+34% marketing ROIDeploy models as services with clear inputs, outputs, monitoring, and ownership. Your product team stays in control.
Built for teamsA regional e-wallet with more than 2 million monthly transactions deployed Tan & Co.'s fraud model as a microservice. It scored each payment in under 50ms and found patterns the existing rules engine missed.
"The model finds fraud patterns our rules engine missed."
A multi-category online retailer used demand elasticity, competitor data, and inventory levels to adjust prices daily. Three months later, gross margins rose 9% and sell-through improved 12%.
"We no longer leave money on the table during peak demand."
Small changes compound across a large catalogue. The model shows where the next adjustment matters.
Every subscriber receives a daily risk score. Your team sees the reason and the next sensible offer.
Tan & Co. combines transaction, demographic, and engagement data to show who is high-value, growing in value, or at risk. Audiences can sync to Meta, Google, and Braze.
Predicted CLV
Predicted CLV
Predicted CLV
A lifestyle subscription brand lifted marketing ROI by 34% by targeting high-CLV lookalikes.
Let's build an AI engine around your transactions, customer signals, and commercial targets. Start with a focused use case and a clear delivery plan.
Request an e-commerce AI consultation