If Facebook’s latest shopping announcements look impressive, get a load of what’s coming next.
For Tamara Berg, fashion has been a passion since she was a child. Now, as a research scientist at Facebook, her personal interests and her work have fused in the social giant’s latest mission: Pushing the limits of what artificial intelligence can do in the world of shopping.
Up first is GrokNet, the intriguing technology that can read images and, more importantly, understand what it’s looking at, even if some of the visual data is obscured. Plenty of tech companies have been touting their AI work, and yet unsuitable selections persist in subscription boxes and distinguishing black jeans from black slacks still stymies plenty of platforms.
The team is chasing after high efficiency and accuracy in other ways. The system manages to offload simpler tasks to automation, so its valuable human effort can focus on higher-level or more advanced aspects. It also crafted a new model for evaluating visuals. GrokNet is live across Facebook Marketplace and in testing mode in Facebook Pages, with a grander vision of bringing it to Shops, at least eventually.
“What we specifically launched are the speedy views and support of 3-D views in Marketplace.…That is something that we actually provide today and that is something that is shaped by taking any photo, [or] a garment in a photo, and making a virtual model out of this garment,” he said. “And then going one step further and doing a virtual try-on — that is basically in a research phase. And that is something we are definitely working on.
“As the pandemic pushes more business online, we are likely to see the number of merchants using social channels to sell their goods continue to increase,” said Joe Farrell, PFS Commerce’s vice president and managing director. “It is therefore critical for these e-tailers to ensure they are able to provide the optimum customer experience from the initial tap of the ‘buy now’ button, to delivery and beyond.
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