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Real-Time Retail Fraud Identification & Prevention Platform

Industry: Retail | E-Commerce

Real-Time Retail Fraud Identification & Prevention Platform

Online retail transactions happen in milliseconds, but fraud can cause damage that lasts far longer. From abusive purchasing patterns to repeat return fraud, merchants need a way to identify suspicious activity before a transaction is completed, not after the loss has already occurred. TechVerito partnered with a retail fraud solutions provider to build a real-time fraud identification and prevention platform. The solution helps merchants proactively detect abusive transactions, reduce business risk, and protect revenue without slowing down the checkout experience.

The Challenge

Retail merchants operate in fast-moving environments where every transaction must be evaluated instantly. The platform needed to balance speed, flexibility, and accuracy, all at the same time.

Key Challenges

01Analyzing high-volume transactions in real time under a strict 250ms SLA
02Allowing merchants to define custom, reusable fraud variables using Python or SQL
03Efficiently computing 200–300 interdependent variables per transaction
04Scaling transaction processing without performance degradation as volume grows

The Solution

TechVerito designed a scalable, resilient fraud detection platform optimized for real-time decision-making and merchant flexibility.

Solution Highlights

Computation Graph for Optimized Variable Execution

A computation graph is created before processing begins, allowing the system to understand variable dependencies, avoid duplicate work, and compute only what is necessary.

Parallel Processing for Ultra-Fast Decisions

Independent variables are computed in parallel, ensuring fraud decisions are delivered well within checkout timelines.

Isolated Compute Engine

The core computation engine is isolated to improve performance under load and enhance fault tolerance.

Microservice-Based Architecture

Independent services scale separately, enabling high throughput, better fault isolation, and faster iteration on fraud logic.

The Results

Reliable Real-Time Fraud Detection

Complex fraud evaluations are processed well within the 250ms SLA, preserving a smooth checkout experience.

Accelerated Product Roadmap

The critical compute component was delivered quickly, enabling faster feature rollout.

AI-Ready Architecture

Low operational latency enabled the introduction of AI-based prediction engines.

Increased Merchant Confidence

Merchants gained a flexible system to define fraud logic tailored to their business without sacrificing performance.

Business Impact

The platform empowers merchants to proactively prevent fraud, reduce financial risk, and protect revenue while maintaining fast, reliable checkout experiences.

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