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Computer-Vision-Assisted Retail Inventory Automation: Integrating Autonomous Scan Data with Worklist Completion Systems

Prasanna kumar Natta

Software Engineer, Dallas, Texas, USA

Abstract

Application of computer vision and autonomous scanning application is slowly gaining popularity among the retailers in order to enhance their inventory visibility, correctness of the prices, shelf availability and efficiency of their operations. Autonomous scan systems are capable of storing a lot of product and shelf level data but more valuable in business is ability to use scan results as inputs into optimizing store processes. In this paper, a new computer-vision-enhanced system of retail store inventory automation is offered, that will integrate autonomous scan information with worklist completion systems within which the store associates are going to work. The framework changes scan based data to operational operations priorities (where items should be verified, prices should be corrected, location should be verified, replenishment should take place and the exceptions should close). The strategy enhances the importance of machine generated insights with the incorporation of human execution process that optimizes the speed and accuracy of correcting inventory and optimum work of manual auditing. The architecture that should be in place to provide such integration has been discussed in the paper which involves scan data ingestion, exception classification, workflow assignment, feedback capture and performance measurement. It also measures other vital implementation drivers of latency of data, usability of the scans by associates and enterprise capacity to expand. This article illustrates how the communication of computer vision, automation and workflow intelligence can collaborate between each other to refresh the operations within the retail inventory and produce the more reactive store execution model.

Article Information

Journal

International Journal of Science, Research and Technology

Volume (Issue)

Vol. 5 No. 6 (2022): International Journal of Science, Research and Technology (IJSRAT)

DOI

https://doi.org/10.15662/IJSRAT.2022.0506009

Pages

8957-8969

Published

December 20, 2022
Copyright

Open Access

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Prasanna kumar Natta (%2022). Computer-Vision-Assisted Retail Inventory Automation: Integrating Autonomous Scan Data with Worklist Completion Systems. International Journal of Science, Research and Technology , Vol. 5 No. 6 (2022): International Journal of Science, Research and Technology (IJSRAT) , pp. 8957-8969. https://doi.org/10.15662/IJSRAT.2022.0506009

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