Retail & Consumer Goods

Fewer false declines, increased transaction success, and stronger fraud protection

Background

For e-commerce businesses, every failed or delayed payment is a lost customer. Our client—a rapidly scaling online marketplace—was facing a dual challenge: rising fraud attempts and overly aggressive fraud filters causing legitimate payments to be blocked.

The Challenge

Traditional fraud prevention tools were static and conservative, often flagging normal customer behavior as suspicious. This not only frustrated users and reduced conversion rates but also failed to catch more sophisticated fraud patterns hidden in transaction flows.

The Solution

Azranta implemented an AI-powered risk assessment engine that works in real time to evaluate transactions. The system:
Analyzes thousands of risk signals, including device behavior, location patterns, and historical purchase activity
Distinguishes legitimate customers from bad actors using adaptive machine learning
Continuously updates its models to account for evolving threats without disrupting the payment flow

What the Retail Chain Said

Azranta helped us strike the perfect balance between security and user experience.

With Azranta’s AI at the core of its payment system, the client turned a major business pain point into a competitive advantage—delivering faster, safer, and smarter transactions that drive growth and build customer trust.

28% reduction in false payment declines, leading to higher conversion rates
35% improvement in fraud detection accuracy, stopping threats before they caused damage
20% increase in successful transaction volume due to smoother, intelligent payment approvals
Enhanced customer trust and satisfaction across the platform

Like our Case Studies

Lets Connect to Talk More on this

Request a Newsletter

Ready to Work Together? Build a project with us!

Request a Newsletter

Learn More From

Frequently Asked Questions

Scroll to Top