90% of the data in the world has been created in the last two years alone. Today’s customers are sharing incredible amounts of information and they expect retail marketers to use each piece to personalize every little interaction on their journey. Much of this “big data” is dark data, it’s messy, human information and it’s passing right by marketers unnoticed and unused.
John Lawson, an IBM Cognitive College Adjunct Professor, will explain how leading retail giants in the U.S. are providing next-gen shopping experiences that drive higher engagement and boost sales. By understanding things like social profiles, trend, weather, and behavior, AI can help marketers understand at a more granular level what consumers want and need.
Case studies include:
- The North Face, an outdoor apparel, equipment and footwear retailer that is leveraging AI to better understand, connect with, and create superior experiences for consumers online with it’s new interactive online shopping experience powered by IBM’s Watson.
- We will also look at how 1-800-Flowers.com is using an AI powered tool to help consumers pick out just the right gift. “GWYN” (Gifts When You Need) is an AI-powered gift concierge that behaves like your own “personal assistant” and learns your preferences as you interact with the system.
- GrowthBot, out of HubSpot Labs, a personal assistant for marketing and sales. AI that helps individuals become more efficient by placing information and common marketing and sales tasks within the reach of a single message or command.