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ERIS contributes to the retailer's digitalization by utilizing AI solutions to combat the biggest challenges & support the implementation of automation.
About
ERIS uses AI to solve price & promotion discrepancies (from shelf to cash register) & minimize customer dissatisfaction caused by empty shelves & price tag mistakes. This is achieved by checking the correctness of prices on the shelf, detecting in-store out-of-stock situations, real-time operation, construction of visual maps & panoramic previews, easy-to-use interface & controls (accessible & adaptable: 4g internet connection, light intensity control, computing operator travel speed).
Key Benefits
The technology behind ERIS is based on AI at the edge, having the capabilities of- including, but not only- price label detection, and product stock detection. The technology behind the robot, the hardware vision modules inside it, the computer vision models & AI algorithms that track stock modifications, price discrepancies, and product placement, can be repurposed to other applications for a wider variety of setups and scenarios related to the retail space.
Applications
By repurposing the technology behind ERIS to other applications, a wider variety of setups and scenarios related to the retail space can be covered, including: fixed camera systems that can track stock changes, automatic hand-held scanners for stores with reduced footprints, and autonomous solutions for tracking inventory and its placement in warehouses for the logistics space. These directions are approachable through the technology that has already been implemented.