How Retailers Are Leveraging Computer Vision
The pandemic accelerated a lot of things for companies, and one of those is computer vision. While only three percent of companies currently utilize computer vision technology, according to research from RIS’ “29th Annual Retail Technology Study: Retail Accelerates,” 40 percent have plans to implement or finish implementing the technology.
Here to give insights on this episode of This Week In B2B and chat with Voice of B2B Daniel Litwin is Samuel Mueller, CEO and Co-founder of Scandit, a computer vision company using AR tools for enterprise applications like barcode scanning, text recognition (OCR), object recognition and more, direct from users’ smartphones, and devices.
With many industries starting to leverage computer vision at scale, companies like VOCHI are securing millions to fund its computer vision-enabled video editing app. Healthcare organizations are starting to use it to better categorize and identify key equipment and life-saving materials. This is leading to other industries’ use cases bringing innovation to the retail sector.
“We’re seeing big overarching trends that drive innovation across retail and other sectors, and largely across the entire supply chain … in retail we’ve seen a big shift toward truly omnichannel behavior, with the pandemic obviously being one key driver, but by far not the only one,” Mueller said.
As a result of having to deliver a great omnichannel experience, retailers really had to think about the way they achieved this accomplishment. One solution to do this has been equipping store associates with better tools, such as smartphones capable of scanning barcodes and checking data entities as customers walk into a store to come to pick up an item.
“Another example is the ability to leverage computer vision-based barcode scanning on smartphones to go pick and procure all the different orders,” Mueller said.
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