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AI for digital commerce in Singapore

Turn transaction data into a growth engine.

Tan & Co. builds AI that detects fraud, adjusts pricing, recommends products, and predicts churn. Your team gets clearer decisions while every transaction keeps moving.

Transaction intelligence Live scoring
Payment screened2,481 signals assessed 0.04 risk
Price responseDemand elasticity updated +8.2%
Subscriber flaggedRetention offer suggested 76%
Audience syncedHigh-value cohort refreshed 34%

AI products for digital business

Each engine connects to the systems your teams already use. Start with one pressure point, then add the next.

Fraud detection

Score transactions in real time using device, payment, account, and behaviour signals. Rules stay visible to your risk team.

Under 50ms

Dynamic pricing

Update prices around demand elasticity, competitor movement, inventory, and margin targets without a daily spreadsheet ritual.

+9% margin

Product recommendations

Combine catalogue attributes with browsing and buying behaviour to place useful next products across your customer touchpoints.

More relevant carts

Churn prediction

Find customers showing early signs of departure through usage, support, and payment patterns. Give retention teams time to act.

23% saved

Customer lifetime value

Group customers by predicted value and growth potential, then send those audiences into the channels your marketers manage.

+34% marketing ROI

API-ready delivery

Deploy models as services with clear inputs, outputs, monitoring, and ownership. Your product team stays in control.

Built for teams
Fraud detection tools

E-wallet cuts chargebacks by 55%.

A 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."

0.9%Starting chargeback rate
0.4%Current chargeback rate
$1.2MAnnual savings
Dynamic pricing AI

Better prices for 50,000 SKUs.

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."

Price with evidence.

Small changes compound across a large catalogue. The model shows where the next adjustment matters.

Elasticity response Updated today

See which customers are about to leave.

Every subscriber receives a daily risk score. Your team sees the reason and the next sensible offer.

Retention watchlist

Updated 08:40 SGT
Usage falling
86% risk
Payment decline pattern
68% risk
Support contact increase
52% risk
Healthy engagement
18% risk
23%At-risk subscriptions saved
DailyScoring cadence
3 signalsUsage, support, payment
CLV analytics for subscriptions

Know the lifetime value of every customer.

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.

High-value$1,240

Predicted CLV

Growing-value$680

Predicted CLV

At-risk$210

Predicted CLV

A lifestyle subscription brand lifted marketing ROI by 34% by targeting high-CLV lookalikes.

Grow your digital business with AI.

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
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