Retail shelves eat $1T profit — so stores are turning to automated eyes
retailers are deploying computer vision to automate shelf tracking, aiming to close a costly margin gap caused by execution failures.
retail operators are increasingly deploying computer vision hardware to automate physical shelf tracking, a shift driven by the need to protect eroding margins. a new study by coresight research, conducted with simbe and relex solutions, quantifies the impact of these ai deployments on solving persistent in-store execution failures that cost the industry billions annually. by adopting this technology, retailers aim to close the gap between digital and physical operations, securing profitability amid rising operational costs.