Lenovo opened an unmanned store in Beijing
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Lenovo China has launched an automated store in Beijing based on facial recognition technology. The Lenovo Go store also features a mobile payment system. A blog post put out by the Taiwanese tech giant reads: “Shopping at the store is quite simple. You walk up to the door, cameras recognise your face, you browse the aisles, pick out what you want as usual, then – and here’s the magic – you just walk out, and your account is automatically settled via your mobile payment.”
Lenovo’s head of research and technology Daryl Cromer said: “We can now understand some of the technologies and challenges our customers face, allowing us to make better devices and tailored solutions.
The store becomes a powerful pilot program for technologies that move beyond the Lenovo campus.”
Lenovo plans to use data gathered at the store to power future technologies, such as an espresso machine that can brew coffee to individual preferences based on facial recognition.
Questions & Answers
Q.What kind of store has Lenovo opened in Beijing?
What kind of store has Lenovo opened in Beijing?
Lenovo China has launched an automated retail store in Beijing. It operates using facial recognition technology and includes a mobile payment system to simplify the shopping process for customers.
Q.How does the shopping process work in the new store?
How does the shopping process work in the new store?
Customers' faces are recognised by cameras as they enter. They can then pick items as usual and simply walk out. Their mobile payment account is automatically settled for the chosen goods.
Q.Why did Lenovo open this specific type of store?
Why did Lenovo open this specific type of store?
Lenovo wants to understand customer challenges and technologies better, which will help them create improved devices and solutions. The store also serves as a pilot programme for developing future technologies.
Q.How will the data from this store be used in the future?
How will the data from this store be used in the future?
Data collected at the store will inform future technological developments. An example given is an espresso machine that could brew coffee based on individual preferences identified through facial recognition.