Retail Watch Uses Computer Vision & Machine Learning In-Store
Laura McQuarrie — December 4, 2020 — Business
References: businesswire
To address the problem of products being out of stock on retail shelves, Trax created the Retail Watch solution in China. The autonomous shelf-monitoring robot was created with local robotics company Ecovacs and it relies on proprietary computer vision and machine learning technologies, an IoT-enabled shelf-edge and ceiling cameras.
The retail robot has the potential to save store associates from having to complete simple repetitive tasks, as the system boasts the ability to offer alerts to pricing errors, stocking opportunities and even planogram non-compliance. As the autonomous robot can move about the store like a shopper, it offers a new layer of insights by tapping into what shoppers see in real-time.
Retail Watch is anticipated to boost supply chain replenishment, on-shelf availability, picking for online orders and overall, an elevated shopper experience.
Image Credit: Trax
The retail robot has the potential to save store associates from having to complete simple repetitive tasks, as the system boasts the ability to offer alerts to pricing errors, stocking opportunities and even planogram non-compliance. As the autonomous robot can move about the store like a shopper, it offers a new layer of insights by tapping into what shoppers see in real-time.
Retail Watch is anticipated to boost supply chain replenishment, on-shelf availability, picking for online orders and overall, an elevated shopper experience.
Image Credit: Trax
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