A Deep-Dive into FreshAI
Traditional checkout processes often rely on barcode scanning—a process that is disrupted when non-barcoded items are introduced. Non-barcoded items like fresh produce, bakery goods, nuts, and loose candies require manual entry of product codes, which is both time-consuming and introduces risk of human error.
Employees and shoppers must manually input product names or search through menus, leading to bottlenecks in the checkout process and the potential for inaccurate pricing if the correct items are not selected. Similarly, inventory management becomes complicated when mislabeled or unscanned items cause inaccuracies in stock levels and inventory counts, causing confusion and possible revenue loss.
FreshAI directly tackles these challenges by using advanced, AI-powered item recognition, virtually eliminating bottlenecks at checkouts caused by non-barcoded item. Its algorithm can accurately identify produce and baked goods within seconds, even through some types of packaging.
“FreshAI revolutionizes the shopping experience by accelerating and simplifying item identification and input processes, with an accuracy rate of over 99% in recognizing products,” says Samantha Barnes, a Retail SPG Leader at METTLER TOLEDO.
By reducing the need for manual entry of product identification data, FreshAI streamlines retail operations and lowers labor costs while minimizing human error and improving the customer experience.
Beyond in-store application efficiency, FreshAI has the potential to enhance inventory management by integrating data collection and insights into one centralized system. Retailers can monitor operations, optimize stocking, and reduce mislabeling errors, all from the convenience of one screen.
This streamlined approach not only improves operational efficiency, but also creates a faster, more seamless shopping experience that benefits retailers and customers alike.
