In this episode of Total Retail Tech Insights, Editor-in-Chief Joe Keenan interviews Brian McGlynn, general manager of e-commerce at Coveo, an artificial intelligence (AI) relevance platform that powers e-commerce experiences for search, navigation, recommendations, and personalization. McGlynn discusses his professional background that led to his current role, an overview of Coveo's business offerings, and what its acquisition of personalization solution Qubit can mean for its retail clients. He shares how Coveo can help solve the product discovery and on-site search challenges that brands and retailers face today, and offers his take on the changing customer expectations in the current omnichannel retail landscape.

Furthermore, McGlynn discusses how retailers can personalize the customer experience in near real time without third-party cookies, and the details around how Coveo combines machine learning (ML) with browsing intent data to fuel personalization at scale. He shares his analysis of recent data that shows that 98 percent of retail executives are currently using or planning to use AI and ML in the next 18 months, and what the implementation of a platform like Coveo looks like across a retail organization. Lastly, he details how listeners can learn more about Coveo.

Brian McGlynn is the vice president of commerce at Coveo. Brian has 20 years of experience in the high-tech industry. His experience has focused around content management, search and e-commerce. Brian has held roles in sales, consulting and general management, and his experience spans from startups to Fortune 100 companies like HP and IBM. Most recently, as general manager of Intershop’s North American business, Brian led the organization’s recent growth in entering new market segments with B-to-C and B-to-B commerce offerings. At Coveo, Brian gets to converge his background in search, content management, customer analytics and e-commerce into Coveo’s Commerce business.