Improve Accuracy at the Self Checkout with Computer Vision/AI Case Studies
Date and Time:
April 21st - 1pm UK
Location:
Virtual
21 Apr 1:00 PM
Organisers:
Jip Koudijs, Platform Operations Owner iPos & PIP, Group Digital, IKEA
Description
The working group has previously heard from retailers, including IKEA as to how they were leveraging machine learning and computer vision to improve scan accuracy and reduce walkways at the fixed self-checkout. In this session, we will get updates from IKEA and other retailers on the progress made, and discus as a group our combined learnings on the role of technology to increase participation and reduce losses at the self-checkout.
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