Digamma.ai Q&A Series: Interview with Karen Ouk, SVP Business Development at mode.ai, which builds AI-powered B2B2C visual chatbots for retailers.
1. mode.ai’s mission is to allow users to rediscover shopping in a more visual, conversational and personalized way. Why is this relevant now on the consumer front?
Visual search allows us to offer features that purely text-based search cannot accomplish. For example, say a shopper is looking for a specific type of dress with a V-cut neck and embellishment on the waistline — this sort of item can be something you imagine or saw somebody wearing, but would be very difficult to find using pure text-based search. Our technology allows users to upload an image of a dress they’ve seen in order to find visually similar items.
Another feature that mode.ai offers using visual search technology is the ability to provide style inspiration to users. With computer vision, we can find people who’ve worn outfits that have a similar look to a particular apparel or accessory item, and then provide users with inspiration of how other people are wearing that similar item.
Next, we believe that conversational commerce — the intersection of messaging applications and shopping — is the way that people will shop in the future. Conversational commerce gives customers access to stores 24/7, and the integration of the mode.ai chatbot is just like talking to a real sales associate. Millennials in particular, who are very active on messaging platforms but remain the least engaged consumer, will likely embrace this high-tech shopping experience on messaging platforms once it catches on in North America. We’re already seeing this trend in China with WeChat, Japan with LINE, and in South Korea with Kakao Talk. Read More