Instantly detect fraud at the point of product return
Entrupy Fingerprinting provides a non-intrusive product identification solution that enables the instant detection of suspicious return fraud - powered by Entrupy’s computer vision and microscopy-based platform.
Armed with Entrupy Fingerprinting, retailers can effectively manage return policies and overcome a reliance on human expertise, static knowledge and traditional tagging solutions - which are prone to exploitation by bad actors.
Solving Retail Fraud Problems
Entrupy Fingerprinting addresses the following use cases
Customer buys the product for an occasion and uses it and returns it to the retailer after the usage and claims refund. Associate may not have time to verify it
Customer buys an expensive product and replaces it with a super fake product and claims refund. There's to automatic mechanism to check super fakes
Customer buys a product & uses it for few months & buys the exact product again & returns the recently purchased item but swaps the product with the old one.
How Entrupy Fingerprinting Works
The Fingerprinting process is simple and takes just a few seconds
Register Products at Point of Deployment
Register each product with a single microscopic image that is associated with a unique ID
Registration just takes 3-5 seconds.
Match Fingerprints at Point of Return
Verify the product return against a registered image prior to confirming acceptance
Product verified as matching or non matching instantly with near 100% accuracy
Benefits for Your Returns Process
Protects against different kinds of returns fraud
Instant Decision Making
Enables instant product verification at point of receipt for customer returns
Fingerprinting helps to overcome limited staff expertise
Plug and Play
Offers low touch implementation and hence a quick roll out
Simple, Easy to Use
Simple and easy to use thus doesn't require heavy training
Protects reputation risks and ensures superior customer experience
Fingerprinting Product Categories
Entrupy Fingerprinting has been applied across diverse product categories, industries and use cases