Industry — E-commerce & Retail
Turn every order into a better decision.
Keap Technologies builds analytics and machine learning for e-commerce and retail: real-time dashboards, demand forecasting, personalization, pricing and churn models, and payment fraud prevention. For a global e-commerce platform we delivered real-time analytics dashboards and predictive models that, in its Head of Data's words, transformed the organization's decision-making.
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What we build for commerce teams
01
Real-time commerce dashboards
Sales, conversion, margin and fulfilment metrics refreshed in minutes, not days.
02
Demand & inventory forecasting
SKU- and store-level forecasts with uncertainty ranges that planners can act on.
03
Personalization & recommendations
Product and content recommendations driven by browsing and purchase behavior.
04
Customer segmentation & LTV
Segments and lifetime-value predictions that sharpen acquisition and retention spend.
05
Churn prediction
Spot customers drifting away early enough for a retention offer to work.
06
Payment fraud & chargebacks
Machine learning risk scores that cut fraud losses without blocking good customers.
From dashboards to prediction
Most commerce teams move through four stages of analytics maturity. Each stage builds on the data foundations of the one before:
| Stage | Question answered | Example |
|---|---|---|
| Descriptive | What happened? | Daily sales and conversion dashboard |
| Diagnostic | Why did it happen? | Funnel and cohort analysis of a conversion drop |
| Predictive | What will happen? | Demand forecast, churn and lifetime-value scores |
| Prescriptive | What should we do? | Recommended stock orders, prices or retention offers |
Proof: real-time analytics for a global platform
“Keap Technologies built advanced analytics dashboards that transformed our decision-making process. Their real-time insights and predictive models unlocked new opportunities and drove significant business value across our entire organization.”
Fraud and chargebacks
Card fraud in the European Economic Area reached €1.3 billion in 2024, and around 70% of it was cross-border, according to the December 2025 EBA and ECB payment fraud report. For merchants selling internationally, that makes fraud scoring a margin issue, not just a risk issue. Keap Technologies builds machine learning fraud detection that blocks more fraud while letting more good orders through.
Frequently asked questions
What data do we need for demand forecasting?
At minimum, historical sales by product and day or week, plus prices and promotions. Stock levels, marketing calendars, holidays and weather often improve accuracy. We assess what you have during discovery.
Can you work with Shopify, Magento or a custom platform?
Yes. Keap Technologies builds pipelines from e-commerce platforms, payment providers, marketing tools and ERPs into one data model, whatever the source system.
How do personalization models respect privacy?
By using first-party data collected with appropriate consent, minimizing personal data in models, and respecting opt-outs — designed in line with GDPR for European customers.
Keep exploring
Let's build what's next.
Tell us about your data and the decision you want to improve. We'll come back with a clear plan.