RetailAI® Protect provides state-of-the-art AI for loss prevention at self-checkout and staffed lanes. Leveraging product recognition, the system accurately identifies and stops common scan errors as they happen – including mis-scans and ticket-switching – while helping to protect customer privacy. The system offers industry-leading accuracy while being massively scalable for effectively unlimited SKUs and stores.
RetailAI® Cabinet enables practical autonomous shopping in a similar format to a vending machine, but with significantly less cost and a far better customer experience. By embedding product recognition within the cabinet, a retail “store” can be anywhere; including office lobbies, hotels, malls, and beyond. The system is easy to operate and maintain, with rich analytics and a self-serve new SKU ingestion process.
RetailAI® Fresh solves for the time-consuming and error-prone experience that grocery store customers today struggle with when weighing fresh products on a self-serve scale. This solution retrofits traditional scales, enabling recognition of fresh products automatically – even while bagged – significantly reducing mis-click shrink, staff assists, and long queues. SKUs are self-learned, enabling large-scale deployment.
Malong Research is committed to advancing the state-of-the-art in computer vision for the future of our products, and our industry.
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