Sites that bill themselves as fashion search engines are more sophisticated than ever, and it can sometimes feel like a new one crops up every day. One of the more recent additions to the space is Fynd.me , a new twist on the e-comm experience that revolves around customers Liking various styles of a certain item to find that elusive piece (instead of, say, having a gazillion tabs open for myriad retailers before, most likely, just abandoning the quest altogether). The site, which utilizes natural language-processing and machine-learning, launched last month.Now, Fynd.me wants to really personalize the whole shopping experience that these start-ups strive for. Enter the Fyndbot , which is rolling out today: It’s a shopping (ro)bot that utilizes Facebook’s Messenger function to “chat” (in as human-like a manner as possible) about what you’re trying to find fashion-wise.The Fyndbot idea first came about in March 2016, and development began in two months later, right after the launch of Fynd.me. “Fyndbot was created to mimic a real, human personal shopper that you’d find in a brick-and-mortar store,” Fynd.me founder Charese Embree told Refinery29. “Fyndbot can do more than take commands one line at a time; it can hold a conversation with you. And, like a personal shopper, Fyndbot remembers the context of a conversation.” To wit: It will recall and then dig up appropriate merch for your latest and your past shopping queries. You know, like a real person would. Specifically, like a personal shopper would. This is what Fynd.me is focused on bringing to the e-comm experience.“Many department stores are experiencing a decline in in-store sales and an increase in e-commerce transactions. With this change comes the loss of personal conversations with in-store sales associates,” Embree said. “Most fashion sites force shoppers to tediously browse page after page.”