Fintech AI
Payment Intelligence
Behavioural Analytics
A Dashboard That Turns
Payment Data Into Decisions —
Not Just Reports.
JARK redesigned and engineered Looqup's STRANO™ Payments Behavioral Intelligence platform — transforming raw transaction data into a real-time command centre for merchant retention, revenue forecasting, and customer lifetime value growth.
THE CHALLENGE
Payment data was everywhere. Insight was nowhere.
For most payment processors, acquirers, and FinTech platforms operating across the Gulf, transaction data was abundant — but actionable intelligence was absent. Teams were working with static monthly reports, lagging indicators, and dashboards that told them what had happened, not what was about to happen or why.
Merchant churn went undetected until it was too late. Revenue leakage sat invisible in the transaction flow. Customer behaviour patterns — the actual signals that predict spend, loyalty, and attrition — were buried in raw data that no one had the infrastructure to decode.
The Brief from Looqup
Design and build a payments behavioral intelligence platform — STRANO™ — that ingests raw payment flow data, applies machine learning trained on 50M+ transactions, and surfaces real-time insights: which merchants are at risk, which customers are your most valuable, where revenue is leaking, and what's coming next quarter. The platform needs to work without re-architecting the client's existing stack.
The product needed to feel like a command centre, not a reporting tool — proactive, visual, and fast enough to act on. And it needed to work for teams that live and breathe payments: processors, acquirers, BNPL providers, and community banks — not data scientists.
HOW IT WORKS
Five intelligence layers, one unified view.
JARK engineered STRANO™ as five tightly integrated intelligence modules — each operating independently but feeding into a single real-time dashboard. The result is a continuous loop from raw transaction data to revenue-driving action.
01
Payment Flow Data Ingestion & Normalisation
STRANO™ connects to existing payment infrastructure without requiring a re-architecture. Transaction records — across channels, merchant categories, and payment methods — are ingested, normalised, and enriched in real time. The system handles messy, multi-source data and resolves it into a clean, queryable behavioural record. No data migration. No downtime. Integration in under two weeks
02
STRANO™ ML Models — Trained on 50M+ Transactions
The intelligence core of the platform: a suite of machine learning models trained on over 50 million real transaction records. The models understand not just what customers paid, but how — the timing, frequency, method preference, retry behaviour, and abandonment patterns that reveal true intent. JARK built the model pipeline to be continuously retrained as new transaction data flows in, keeping predictions sharp and market-specific.
03
Customer Cohort Profiling & MVC Detection
STRANO™ automatically segments customers into behavioural cohorts based on spend patterns, payment method loyalty, session cadence, and lifetime value trajectory. The Most Valuable Customer (MVC) engine identifies your top retention targets before they show churn signals — enabling proactive engagement instead of reactive damage control. Cohort profiles update continuously, not monthly.
04
Revenue Forecasting, Leakage Detection & Seasonal Optimisation
The platform generates weekly, quarterly, and bi-annual revenue forecasts at 80% accuracy — before trends fully materialise. Simultaneously, the leakage detection module scans transaction flows for revenue loss patterns: failed retries, suboptimal routing, abandoned checkouts, and refund clustering. Merchants and operators receive targeted interventions, not generic alerts. Seasonal optimisation models allow operators to plan forward rather than react.\
05
Real-Time Intelligence Dashboard & Micro-Targeted Campaigns
JARK designed and built the STRANO™ dashboard as a dark, data-dense command interface — purpose-built for payments operators who need full situational awareness at a glance. Key metrics, merchant reliability scores, cohort movement, approval/retry optimisation recommendations, and payout flow alignment are all surfaced in real time. The campaign layer allows teams to micro-target customers with messages built on actual purchase history, not demographic assumptions.
Intelligence Modules
Every insight, actionable by design.
JARK designed the credentialing system to operate at three tiers — giving learners proof of progress at every level, not just at the end.
🔍
Behavioral Insights Engine
Reveals how customers pay and why they choose specific methods — unlocking the behaviour layer beneath the transaction record.
📈
Predictive Revenue Models
Weekly to bi-annual forecasting with 80% accuracy. Operators see what's coming before it arrives — and can act in advance.
Merchant Reliability Scoring
Continuous reliability scores for every merchant or partner — flagging risk before churn or fraud patterns fully emerge.
Approval & Retry Optimisation
Analyses failure patterns across transactions to recommend optimal retry timing, routing paths, and method nudges — recovering revenue that would otherwise disappear.
Outcomes
What changed for Looqup — and their clients.
20% increase in loyalty index and repeat purchases within the first two quarters of STRANO™ deployment across pilot merchant cohorts
Revenue forecasting accuracy of 80% across same-store projections — enabling operators to plan staffing, inventory, and campaigns weeks in advance
95% merchant and customer retention rate on platforms deploying STRANO™ — driven by proactive cohort-level intervention before churn signals materialise
Clients experienced measurable impact within 6 weeks of integration — without touching their existing payment stack or requiring a re-architecture
ML models trained on 50M+ transaction records deliver behavioural predictions specific to Gulf-region payment patterns — not generic Western market assumptions
Looqup became a Microsoft for Startups-backed platform — with STRANO™ at the core of their enterprise FinTech proposition across the UAE and wider Gulf region
PROJECT DETAILS
Client
Looqup™ Data, Inc.
Industry
FinTech · Payments AI
Engagement
Full Product Build
Duration
Continuous
Backed by
Microsoft for Startups
Platform
Web Dashboard
Status
✓ Live in Production
SERVICES DELIVERED
AI & ML
Data Engineering
Cloud & DevOps
Full-Stack
UI/UX Design
Mobile App
CLIENT FEEDBACK
“
JARK understood the payments intelligence space deeply — not just the UI, but the data architecture behind it. STRANO™ wouldn't exist in its current form without them.
Looqup™ Team — Product & Strategy
Have a similar product idea.
Let's talk about what we can engineer together.
Book a discovery call
Next Case Study
Truscholar - AI Powered Career Coach