Deployment Year Begins: Zhixuan Deploys 100 Robots in Retail Stores
Overview
Zhixuan Robotics has deployed 100 units of the Lingxi X2 humanoid robot in 100 retail stores of Aishida, achieving a 39% increase in store sales. The robots, named 'Aibao,' engage customers by understanding their cooking needs and guiding them toward suitable products, while also seamlessly transferring conversations to human staff when necessary. This marks a milestone in the deployment of embodied AI in real-world retail environments.
From RoboSpeak — WeChat
Event evidence and corrections
1 attributed source owners. Ownership does not establish independent confirmation. Quantities are reported separately and are never added together.
Environment: field trial
“最终百店累计销售金额达225.3万元，带动门店业绩增长39%”
Exact source · revision 1robospeak
Control: shared control
“最终百店累计销售金额达225.3万元，带动门店业绩增长39%”
Exact source · revision 1robospeak
Data origin: human egocentric
“最终百店累计销售金额达225.3万元，带动门店业绩增长39%”
Exact source · revision 1robospeak
Reported quantity · sales revenue: 2253000 other · reported trials · sales
“最终百店累计销售金额达225.3万元，带动门店业绩增长39%”
Exact source · revision 1robospeak
Reported quantity · sales growth: 39 percent · reported trials · sales
“最终百店累计销售金额达225.3万元，带动门店业绩增长39%”
Exact source · revision 1robospeak
Evidence dependency changes (1)
- 2026-10-02T08:45:23.876Z · evidence updated · source revision 1. Evidence extraction was updated; current source attributions are shown above.
Report timeline
Follow attributed reports and material updates.
- RoboSpeak — WeChatSignalDeployment Year Begins: Zhixuan Deploys 100 Robots in Retail Stores
Zhixuan Robotics has deployed 100 units of the Lingxi X2 humanoid robot in 100 retail stores of Aishida, achieving a 39% increase in store sales. The robots, named 'Aibao,' engage customers by understanding their cooking needs and guiding them toward suitable products, while also seamlessly transferring conversations to human staff when necessary. This marks a milestone in the deployment of embodied AI in real-world retail environments.
Event attention history
There is not enough continuous observation data to show a trend.