SeeChange Taps Diebold Nixdorf to Create AI Checkout Tools
References: seechange & cspdailynews
SeeChange Technologies, a company known for its retail-focused computer vision AI technology, has announced a strategic partnership with Diebold Nixdorf, a global leader in retail consumer and staff journey solutions, to introduce an innovative series of AI-powered self-checkout solutions.
The collaboration leverages Diebold Nixdorf’s Vynamic Smart Vision technology, which incorporates SeeWare machine learning to accurately identify fruits, vegetables, baked goods, and other items lacking barcodes.
By utilizing SeeWare's edge-to-cloud AI capabilities, Diebold Nixdorf is enhancing its self-checkout systems with sophisticated product recognition features, significantly reducing friction at checkout points and elevating the overall customer experience.
“Our partnership with Diebold Nixdorf is the next step in the evolution of self-service checkout – a smart SCO system that uses visual recognition and AI to recognize purchases,” said Jason Souloglou, CEO of SeeChange. “Fresh Produce Recognition is only the start of a new generation of SCO technology that simplifies customer checkout, cuts transaction times and reduces loss for retailers.”
Image Credit: SeeChange Technologies
The collaboration leverages Diebold Nixdorf’s Vynamic Smart Vision technology, which incorporates SeeWare machine learning to accurately identify fruits, vegetables, baked goods, and other items lacking barcodes.
By utilizing SeeWare's edge-to-cloud AI capabilities, Diebold Nixdorf is enhancing its self-checkout systems with sophisticated product recognition features, significantly reducing friction at checkout points and elevating the overall customer experience.
“Our partnership with Diebold Nixdorf is the next step in the evolution of self-service checkout – a smart SCO system that uses visual recognition and AI to recognize purchases,” said Jason Souloglou, CEO of SeeChange. “Fresh Produce Recognition is only the start of a new generation of SCO technology that simplifies customer checkout, cuts transaction times and reduces loss for retailers.”
Image Credit: SeeChange Technologies
Trend Themes
1. AI-based Product Recognition - AI-driven recognition systems accurately identify loose items like fruits and vegetables, eliminating the need for barcodes.
2. Edge-to-cloud Computing - Edge-to-cloud AI integration allows for real-time processing and data analysis at checkout points, improving transaction times and system efficiency.
3. Frictionless Checkout Solutions - Advanced self-checkout technologies reduce the manual input required from customers, streamlining the shopping experience.
Industry Implications
1. Retail Technology - Retailers adopt sophisticated AI and machine learning tools to enhance the efficiency and speed of self-checkout processes.
2. Artificial Intelligence - AI plays a crucial role in evolving retail operations by providing precise product identification and improving inventory management.
3. Consumer Electronics - Innovative checkout systems incorporating computer vision offer a seamless shopping experience, driving growth in the consumer electronics market.
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