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The Retail Shelf-Auditing Robot

 The Retail Shelf-Auditing Robot - IoT ONE Case Study
Technology Category
  • Analytics & Modeling - Computer Vision Software
  • Robots - Autonomous Guided Vehicles (AGV)
  • Sensors - Camera / Video Systems
Applicable Industries
  • Retail
Applicable Functions
  • Business Operation
Use Cases
  • Retail Store Automation
The Challenge

Full-store audits involve making sure that items are in stock, in the right place, and marked at the correct price. These tasks must be repeated over and over, typically take several hours to complete, and tend to be very inaccurate when done by humans.

The Customer
Target
About The Customer
-
The Solution

Standing at 93 centimeters tall, Tally provides a compact, efficient way for retailers to keep their shelves stocked, and their profits high. Tally moves in four-foot increments, taking high-resolution photos of shelves. These photos are then analyzed for inconsistencies in product pricing, quantity, and placement.

Data Collected
Accuracy, Customer Satisfaction Score, Man Hours, Operating Time, Parts and material pricing
Operational Impact
  • [Efficiency Improvement - Operation]
    Reduces Audit Time, allows for employees to focus on customer service
  • [Data Management - Data Accuracy]
    Increases Accuracy
Quantitative Benefit
  • Tally can complete a full-store audit in 30 minutes with a 96% accuracy rate

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