Machine-Learning Robot Simplifies Retailers’ Inventory Audits

Machine-Learning Robot Simplifies Retailers’ Inventory Audits
Merchandising & Curation

Simbe Robotics added new capabilities like RFID scanning to its retail robot to make the audit process faster and more thorough, collecting inventory data and even tracking popular customer paths

Sierra Holt
  • 26 july 2018

Simbe Robotics equipped its retail inventory robot, named Tally, with RFID scanning and machine learning capabilities. With this enhancement, Tally can capture over 700 RFID tags per second and monitor inventory levels with 99% accuracy.

The primary goal of the robot, introduced in 2015, is to assist retailers in reducing the length and complexity of their inventory audits, which can often take at least a week to complete manually.

Currently used by 11 retailers around the globe, Tally learns the most customer-friendly paths through a store, and builds accuracy through algorithms and photographs. Data collected from the robot is stored on a cloud, then sent through an API and front-end application directly to the store’s management for review. As a bonus, the robot is also able to recognize items that are misplaced due to customer interaction. To date, Tally has analyzed more than 150 million products over 4,500 kilometers of retail space.

Simbe Robotics

Simbe Robotics equipped its retail inventory robot, named Tally, with RFID scanning and machine learning capabilities. With this enhancement, Tally can capture over 700 RFID tags per second and monitor inventory levels with 99% accuracy.

+AI
+inventory
+merchandising & curation
+retail
+Simbe Robotics
+store experience
+Tally
+technology

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