![]() ![]() “Then we combined the XYZ coordinate data of the RFID tags with the 3D coordinate data of where people are, so basically each sensor has these four cameras on the circumference that extract the 3D pose of people.” “We built a sensor that combines RFID and computer vision and we are able to read and located all RFID-tagged products within a store,” RADAR founder Spencer Hewett explained to Sourcing Journal, adding that pilot efforts with AEO have yielded 99 percent accuracy. Inventory-tracking company’s technology possible. RADAR founder Spencer Hewett stands outside company headquarters holding one of the RFID sensor devices that makes his It’s just impossible for someone to do that manually, let alone for thousands of products at a time.” We’re able to look at what you would have sold if you had been at 100 percent availability and we use that as a size assumption going forward. “But it’s difficult to look back at something that sold previously and understand what would have sold if you had been in stock in all sizes, and we’ve accommodated for that. “You want to be able to react very quickly in order to avoid markdowns and things like that,” Fisher said. What makes fashion so difficult, is having the right count of sizes and colors and styles making for an almost impossible matrix of factors to get just right. ![]() “We wanted to build fashion first to prove that we could solve the harder forecasting problem first.” “We build the algorithms to deal with really short lifetime products that are heavily influenced by trend-but it can work for anything,” Fisher said. “We are focused on fashion and seasonal or cyclical categories.”įisher said fashion presents a special challenge when it comes to optimizing inventory. “We take data from retailers on a daily or weekly basis and we’re using machine learning to essentially understand how each product in each region or zone within their business will continue to perform from a demand perspective,” Fisher said. Sparkbox.ai founders Matthew Wong, Linsday Fisher and Kevin Blackmore. “The concept seems very simple-you just forecast your demand and you just buy that, but there’s always disruptions, and I think the pandemic really shone a spotlight on what happens when these disruptions multiply and you can no longer, like, throw people at the problem,” Liaw said. Liaw said she saw the true value of inventory software during the pandemic. “That was kind of the idea behind Fuse-why doesn’t this exist? Why am I building a software that I know everyone else needs?” “I actually built a custom inventory system for that business, because there wasn’t really much out there, as I saw from KiwiCo” she said. “I restarted my career in the warehouse, packing boxes, moving pallets, and just kind of working my way backwards through the supply chain,” Liaw said.Įventually Liaw started her own company called Parasol Co., a subscription-based site to order diapers and wipes and other baby products. So, she decided to get into fashion tech and put herself right on the bottom floor as an intern for the kids’ arts and crafts producer KiwiCo. She said she had been a lead developer for a foreign language search engine product, but found the tech startup world to be somewhat chauvinistic. Liaw said the idea for Fuse came on the way down the ladder of success. We’re very good at being able to break down your size historically, by style, which is really hard to do in Excel.” “That said, we do work with footwear companies because they have to deal with size assortment. ![]() “We’re the only software, really, in the space that has gone from a finished good and breaks it all the way down to all the raw materials, all the way down to ounces on seven decimal points,” Liaw said. Using artificial intelligence to form forecasts of how much inventory a business will need of each product to order and where to sell it, Fuse has found its greatest success with CPG (consumer packaged goods) brands, particularly in beauty and cosmetics. Margaux co-founders Sara Pierson and Alexa Buckley. ![]()
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