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AI-powered product recognition to fuel personalization, discovery and more. Capture and detect products on shelves, without scanning a barcode, through your existing mobile apps.
About
Through machine learning and computer vision, our product recognition technology classifies and identifies products on shelves down to the UPC, without scanning a barcode or picking up a product. This expands our computer vision expertise to evolve our core receipt scanning technology into scanning real-world shelves and product images. Our customers can use this data to surface personalized promotions, product reviews and recommendations, nutritional information, and more. Imagine, for example, a brand’s mascot guiding shoppers to discover their latest seasonal item or turning your store into a gamified adventure to find savings – the opportunities are endless. Promotional apps struggle to drive adoption of their products while consumers are shopping. These applications usually have a long list of promotions, which some users peruse before or during shopping, while others will submit their receipts after purchase in hopes of something qualifying for cash back or a reward. In either scenario, shoppers struggle to connect the available promotions with what they are seeing on the shelf. By allowing their users to scan the shelf in-store and detect specific products, our customers can use our tech to surface promotions in real-time, improving user personalization, promotion discoverability/redemption, and ultimately drive revenue. In addition, the average grocery store is over 48,000 square feet and contains over 30,000 items on its shelves. Set your employees - and stores - up for success with real-time shelf data capture. Detect missing items or moved facings with precise image capture to boost planogram compliance or quickly identify and correct shelf holes/missing items before they grow.
Key Benefits
Nearly 40% of customers say they only go into the store for what they need. It’s necessary to better engage consumers on new products and deals they may otherwise miss before and during the in-store experience. In addition, e-commerce has conditioned customers to expect more information on the products they’re purchasing, complete with reviews, recommendations, and well-honed marketing campaigns. Customers are also becoming more cost-conscious as they deal with the effects of inflation. Every time a customer enters a store is an opportunity for a new adventure. Sixty-six percent of consumers say that interactive store technology could make them choose one retailer over another. Improving your in-store experience doesn’t need to include expensive, upfront investments in finicky hardware, however. Mobile phones have become part of a customer’s experience, with more than 90% of grocery shoppers using their smartphone to assist them in-store. This presents a tremendous opportunity to allow customers to search in-store the way they would online by turning their mobile device into a personal shopping assistant. Quickly surface dietary and allergy information, ratings and reviews, personalized recommendations and more to influence the purchase decision and drive sales. Recognize products, without scanning a barcode, to immediately add to a user’s cart or household shopping list. Make recommendations based on how they’re browsing, test personalized pricing, promotions and more.
Applications
Our AI-powered BlinkShelf product recognition technology returns product data including UPC, product name, brand, size, sector, department, major category and product position, as well as store detection (e.g. merchant, phone, address, latitude/longitude) and promotion-related data. Potential use cases: -Personalized promotions -Personalization (e.g. pricing) at shelf -In-store activation -Assisted product discovery -Autonomous checkout -Planogram compliance -In-store picking -Shelf stocking/inventory management The technology is currently available as an iOS and Android SDK for mobile integration, as well as a web API in the U.S. and Canada.