Future of e-commerce looks towards brick and mortar for inspiration in Propulse’s new AI software for booting online sales.
Former Saks Fifth Avenue executive Eric Brassard founded Propulse, a Canadian startup focused on AI to help online fashion retail. Propulse is focused on marketing its service to small and medium retailers with Fashion retailer Frank + Oak very happy using its services: CEO and co-founder Ethan Song. ”With Propulse, we’re able to complement our democratized current personal stylist offer by showcasing new items to our customers that pair well with existing ones they selected — that’s what keeps them coming back for more and deepens our relationship with our community.”
The company launched a Purchase Path Neural Network, one that uses software that rely on what is called deep learning and image recognition algorithms, meaning it accesses thousands of product images and stores then as possible alternatives or variables and that keep track of what the shopper is looking for and then suggests or learns from what they may move on towards.
The current process that works well for large entities like amazon or eBay rely on large numbers of data, mostly focused on past purchases the software improves with time and more access. But for smaller firms or newer emerging companies, that information is not quite accessible and sometimes the web pages will suggest products that the customer has already seen and has no history to share personal taste.
The idea for a more customer sophisticated AI surged when founder Brassard realized that one challenge online sites have is the lack of in-store associates normally expected at brick and mortar stores. More than just shepherds that guide the customer to a specific products, top salespeople instantly form a concussion of their customer from now they are dressed and their demeanor and suggest products that are more suited to their probable tastes. At Saks, these sales artists could earn almost $200,000 per year. “The art of selling clothing is recognizing the tastes and personalities of customers quickly and recommending appropriate items.”
The new software hopes to better grasp customers’ tastes and ultimately increase sales for retailers. It also helps with inventory logs and production, trying to reduce unwanted stock and jumps start the production of desired models to ensure their availability at any time.