Jian24

Jian24, operating under its parent company Shanghai Guoxue Information Technology Co., Ltd., is a Shanghai-based firm established in 2017 that targets the retail industry. The company's legal representative is Guo Xiaodong. Jian24 provides end-to-end solutions designed to digitize store operations, merge online and offline channels, and optimize supply chains for its retail partners.

The business operates through two primary offerings: a smart vending machine solution and a smart mini-store solution. The core of its technology is the "Take & Go" kiosk, which transforms a standard refrigerator into an intelligent, checkout-free point of sale. This system integrates load-cell-based layers, cameras, and computing devices. A user-facing app or mini-program facilitates the customer interaction, while an AI-driven algorithm and a backend retail system manage the operations. When a customer selects items, cameras capture the products, and an onboard chip running an AI algorithm identifies them. This visual recognition is combined with data from the load-cell sensors to accurately determine which products have been taken and in what quantity, eliminating the need for RFID tags. This creates a frictionless "take away and go" shopping experience for consumers.

The company's solutions have been deployed across a variety of commercial settings, including real estate properties, schools, medical facilities, and community spaces. By leveraging deep learning and sensor fusion, Jian24 aims to assist traditional retailers in their digital and intelligent transformation. Since its inception, the firm has secured funding from investors such as DL Capital (Shanghai), Lanchi Ventures, and Redpoint China Ventures. An early-stage Series A funding round in January 2018 raised approximately $7.59 million.

Keywords: retail tech, unmanned stores, checkout-free, smart vending, computer vision, sensor fusion, smart retail, digital store operations, automated retail, take and go, AI in retail, intelligent kiosk, Shanghai Guoxue, Guo Xiaodong, retail automation, convenience store tech, object recognition, retail supply chain, offline online integration, deep learning retail