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RetailAI® Cabinet

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.

Trusted by the World’s Leading Companies



"Malong Technologies: a startup that may change the way we shop."


"Accenture's alliance and investment in Malong Technologies ensures our clients stay ahead of the curve in innovation through AI and intelligent technologies."

Paul Daugherty, Accenture Chief Technology and Innovation Officer


"Malong’s technology comes into play leveraging Deep Neural Network based computer vision methods to classify the items that are scanned and identifying whether or not the correct SKU is registered within the SCO system. It is important to note, as well, that Malong’s model is one of the best performing for this task in the world."

"Microsoft is pleased to welcome Malong to Gold Certified Partner Status," said Dr. Hsiao-Wuen Hon, Microsoft Corporate Vice President, Asia-Pacific R&D Group & Microsoft Research Asia, and a member of Malong's technical advisory board. "As a leader in computer vision for retail, Malong has demonstrated the highest level of technical expertise and customer service. They have earned our confidence as an elite AI product recognition solutions provider."

Dr. Hsiao-Wuen Hon, Corporate Vice President of Microsoft, Chairman of Microsoft’s Asia-Pacific R&D Group, Managing Director of Microsoft Research Asia


"Malong makes software teaching computers to differentiate retail products the way a human eye would."

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The Science
Behind the Solutions

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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Learn more about our research areas, publications, open source, open data, open models, and news.