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Welcome to the Future of Retail

The pandemic accelerated retail’s shift to digital, contactless, self-service experiences. Powered by AI, edge computing, and cloud platforms, smart vending and Grab & Go solutions cut costs, boost profits, and transform retail operations.

Background & Challenges

Smart retail faces five core challenges: accurate visual recognition, seamless edge–cloud integration, strong data and payment security, long-term system stability, and a frictionless user experience.

AI-powered smart vending machine or Grab & Go cooler enabling automatic checkout and unattended retail services

Solution​

nHand xEnergy real-time energy management solution monitoring self-service vending machine energy consumption

nHand xEnergy’s Real-Time Energy Management Solution aims to monitor and optimize enterprise energy consumption in real-time, reducing carbon emissions. The system collects data on energy consumption, production, and the environment, providing optimal energy solutions through analysis and algorithms. It can also predict future energy consumption demands and formulate reasonable plans. By means of real-time monitoring and intelligent adjustments, it enhances energy utilization efficiency, and achieves sustainability.

Capabilities​

Computer Vision and Deep Learning

99% accuracy of goods identifying with neural network-based dynamic recognition.

Cloud Management

Real-time control of sales, goods, and machine status for efficient operations and increased revenue.

24/7 Unattended

3-step easy shopping : Scan/swipe to open the door, select products, close the door with automatic checkout.

Compact & Quality Cooler

Energy-efficient, ideal for selling beverages, snacks, and more.

AI recognition technology

AI Edge Computer

Enables AI acceleration based on ARM technology and edge intelligence. Supports mainstream IoT clouds.

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