.Levis AI drive this year will culminate in new updates that bring computer vision and visual search technology to the denim brand for the first time.
Computer vision allows machines to read and understand images, while neural networks, a form of machine learning or deep learning, takes cues from the structure of the human brain and how biological neurons fire and communicate with each other. Simply put, the latter aims to imbue machines with more human-like ways of thinking and reasoning, allowing them to identify patterns and improve over time.
The feature just entered testing in the U.S., and the plan is to roll it out globally next year. When it arrives, it will join another feature that will have launched by then: visual search.site by uploading photos. The tech will pull up results from the store’s assortment that looks similar to the items in the images. Like Grid Sort, it’s also driven by the company’s neural networks.Levi’s may be emphasizing computer vision, but that doesn’t mean it’s abandoning text altogether.
According to a January blog post, “Determining optimal store inventories and predicting store traffic became nearly impossible with stores closed, and the team found themselves with a small problem: With no new data coming in, their data models were about to break.”
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