Back to Case Studies
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
•Analyzing high-volume transactions in real time under a strict 250ms SLA
•Allowing merchants to define custom, reusable fraud variables using Python or SQL
•Efficiently computing 200–300 interdependent variables per transaction
•Scaling 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.
You might also be interested in
Scalable Backend Architecture for In-Game Chat Systems
Modern online games operate at massive scale, with thousands of concurrent users exchanging messages in real time. In such environments, in-game chat is not a peripheral feature. It is a core infrastructure component that directly impacts player engagement, retention, and overall platform reliability. TechVerito partnered with a gaming client to design and implement a high-performance, fault-tolerant backend for in-game chat. The system was required to support private and group messaging, handle high traffic spikes, and remain resilient under failure conditions. This case study outlines the architectural decisions and technical implementation that enabled a scalable, production-ready chat backend.
Read more
