Particl

Particl, which launched in 2020, gathers publicly available data and uses an algorithm to predict sales. Brands use the tool to see how they measure up to their competitors, determine prices, or research new product launches. Currently, the company is tracking about 500 million products across the web, Wilson said. "It's a busy, loud world, and Par... ticl just tries to synthesize that," Wilson said. "The company's customers can know the immediate impact on their business and it's backed by what's actually going on rather than just someone's opinion." Particl's clients include apparel and shoe companies True Religion, Koio, Cupshe, and most recently, Kim Kardashian's shapewear brand Skims. This year, Wilson has seen a growing appetite for companies to "talk with their own data" to better assess how products are performing. "The early power that's come out of this AI shift is the ability to have a conversation with data," he said. "Before you used to have to be quite skilled and trained in order to get those answers." Clients can integrate their own sales data with Particl's data. Then using AI, Particl can predict how reducing a price could increase sales or identify a color or pattern that competitors have. For example, Particl suggested that one brand launch a pant based on demand it saw. "Chubbies has been one of the company's best customers since the company started," Wilson said. "Chubbies created pants based on bestselling pants from Lululemon and other competitors and have performed extremely well." On the horizon, Wilson sees AI technology changing the way customers find and buy products. "I don't think there's quite a great implementation yet," he said, but he believes there's a large market for conversational shopping.Read More