ECRS Vision Match® Brings AI-Powered Produce Recognition to Grocery Checkout

Boone, NC— November 11, 2026 — Produce can be one of the most manual parts of the grocery checkout experience. Cashiers memorize PLU codes. Shoppers search through produce menus. Across a busy shift, those repeated actions can add up to thousands of unnecessary keystrokes. 

ECRS is simplifying that experience with Vision Match®, an AI-powered produce recognition solution built directly into the CATAPULT® retail point of sale platform. 

Vision Match identifies produce as it reaches the scale and presents the most likely matches for quick confirmation, taking produce checkout from tedious memorization and searching to intelligent recognition. 

The result is a simpler workflow: see it, match it, sell it.

Produce Recognition Designed for Real Grocery Environments 

Vision Match uses a camera at the scanner scale to recognize produce and present likely matches. Instead of manually entering a PLU or searching through a produce menu, the cashier or shopper simply confirms the correct item and continues the transaction. 

Importantly, Vision Match can recognize produce items through produce bags. 

That capability matters in a real grocery environment. Produce does not always arrive at checkout loose or perfectly positioned for a camera. Customers frequently bag fruits and vegetables as they shop. Vision Match is designed to accommodate that everyday behavior rather than requiring shoppers or cashiers to change how they handle produce.

Eliminating Thousands of Keystrokes During Each Shift

For cashiers, produce entry is repetitive by nature. Experienced associates may memorize frequently used PLUs, while newer employees have to spend hours learning them or repeatedly searching for the correct item. 

Vision Match removes much of that manual interaction. By automatically recognizing produce and presenting likely matches, the technology can eliminate thousands of keystrokes during each shift, reducing the time spent entering PLUs and searching for produce. 

Those eliminated interactions add up. Less time spent navigating produce lookups can keep transactions moving and allow cashiers to focus more attention on customers and the checkout process. Fewer repeated inputs also mean less physical interaction with touchscreens and other input hardware, reducing everyday wear and tear on equipment. 

For retailers, the result is a more efficient produce workflow that reduces dependence on PLU memorization while minimizing unnecessary touches at the register.

Making Produce Easier at Self-Checkout

For shoppers, produce can be one of the most frustrating parts of self-checkout. Unlike scanning a packaged item with a barcode, produce often requires the customer to stop, search through menus, identify the correct variety, and make a selection while other shoppers may be waiting behind them. 

That creates unnecessary friction at a point where customers expect self-checkout to be quick and intuitive. Shoppers can feel uncertain about which item to select, pressured to move faster, or frustrated by a process that requires significantly more effort than scanning the rest of their basket. 

Vision Match simplifies that interaction by recognizing produce and presenting likely matches directly to the shopper. Instead of searching through menus or knowing a PLU, the customer can simply confirm the match presented by Vision Match and continue checkout. 

The ability to recognize many items through produce bags makes that experience even more practical. Customers can shop and bag produce naturally, then bring those items to self-checkout without adding another unnecessary step simply to identify them. 

For retailers, simplifying produce identification can also help reduce the opportunity for incorrect item selections and the resulting transaction inaccuracies or revenue loss. Just as importantly, Vision Match addresses a point of friction that can make customers hesitant to use self-checkout in the first place. 

The goal is to make produce feel more like the rest of the self-checkout experience: fast, intuitive, and with less uncertainty for the shopper.

AI That Doesn’t Depend on the Cloud

Vision Match can operate offline without reliance on a cloud connection, helping keep produce recognition available regardless of internet connectivity. 

Because Vision Match is embedded within the CATAPULT environment, retailers can bring AI-powered produce recognition to checkout without making the core recognition process dependent on constant cloud connectivity.  

It reflects a practical approach to retail AI: put advanced technology where it can solve an everyday problem without introducing unnecessary complexity or dependency.

One Recognition Experience Across the Store 

Vision Match supports produce recognition across multiple areas of the CATAPULT retail environment: 

• Traditional POS Lane: Produce is detected at the scanner scale, likely matches are presented, and the cashier confirms the correct item. 

• QuickCheck Self-checkout Lane: Shoppers can identify produce without navigating long menus or knowing PLU codes. 

• AutoScale Max™: Shoppers can identify, weigh, and label produce within the department before scanning the printed label at checkout. 

Because Vision Match is integrated with CATAPULT, recognition connects directly with the retailer’s existing produce items and PLU structure rather than operating as a separate application.

Making Produce Recognition More Accessible to Retailers 

Advanced technology only delivers value when retailers can deploy it. 

Vision Match is designed to provide the most affordable embedded produce recognition in the world, bringing AI-powered recognition within reach of more retailers without sacrificing integration with their core retail system. 

Vision Match can be deployed with compatible camera-equipped scanner scales, with retrofit options available for qualifying existing hardware. That gives CATAPULT retailers additional flexibility in how they introduce the technology into their stores. 

The combination of affordability, embedded integration, offline operation, and compatibility with real-world shopping behavior reflects ECRS’s larger approach to AI: technology should solve a practical problem without creating another one.

Retailers can visit here to see Vision Match in action and learn more about bringing AI-powered produce recognition into their CATAPULT environment.

About ECRS

Family-owned since 1989, ECRS is a Certified Evergreen® retail transactions and artificial intelligence solutions provider, offering simple, practical solutions that unify operations and empower independent retailers to thrive. ECRS’ revolutionary CATAPULT® POS platform, powered by Unified Transaction Logic®, is the market’s only truly unified transaction platform that seamlessly connects all retail touchpoints. With CATAPULT, all retail touchpoints—including point of sale, back office, self-checkout, deli scale, fuel pump, pharmacy, inventory, loyalty, eCommerce, and enterprise management—share one single transactional logic. Unifying hardware, software, and services, ECRS offers friction-free, cost-saving solutions that make advanced automation accessible while transforming the consumer experience.