Modern tools for modern retail
Shrinkage is not a new issue, but the traditional defenses are really starting to show their age. Take electronic article surveillance (EAS) — you know, those hard plastic tags that trigger alarms at the door.
Once upon a time these little tags were the standard. Not anymore.
“Alarms at the door just aren’t enough anymore,” said JW Franz, TRG’s Director of Innovation and an expert in next-gen tools like machine vision and RFID. “You really need item-level data to know what walked out. Otherwise, you’ll know something left, but you won’t know what it was or why it matters.”
Franz says in a world of self-checkout, ambiguity is the enemy. Was it a skipped scan, a cashier error or an intentional theft that caused the issue? Without item-level visibility, retailers are left guessing.
That’s where modern methods like RFID come in. Unlike barcodes or EAS alone, RFID tags can be serialized, giving every item its own digital identity.
“The real leap with RFID is this serialization,” Franz said. “Every item has its own identity. That visibility really changes everything.”
With serialized RFID, retailers don’t just know that an item left the store — they know what it was, where it came from and how often it happens. That data can be used to uncover patterns, from specific product categories to times of day, and inform smarter prevention strategies.
To speed up adoption, some retailers are even beginning to leverage Hybrid RFID and EAS tags that bring modern functionality without requiring a complete changeover in store workflow.
“The Hybrid RFID/EAS systems can give you the best of both words right now,” said Franz. “You get the serialized data for inventory and the alarm functionality for theft and it all works within the footprint of the industry standard EAS tag, which basically everyone can work with.”
Away from physical checkout, many retailers are also piloting AI-enabled cameras and advanced analytics to further tighten control without slowing down shoppers.
“Cameras are a great tool — not just for preventing loss but for understanding store traffic and patterns,” said Stephens. “Retailers want visibility into loss without slowing the customer down and cameras are great for this—especially now that AI has developed to the point where it can reliably monitor the footage for issues.”
The ultimate goal is “frictionless loss prevention,” a series of largely automated systems and tools that can stop theft and prevent mistakes in real time while allowing honest customers to move quicker than ever through checkout.