A great podcast on the implementation and adoption of #AI within the retail industry where being #datadriven is second nature. For retailers it means opportunities to leverage their huge amounts of data and increase the #hyperpersonalization of their production, communication and #customerexperiencemanagement. In addition to owning and exploiting data for quite some time, they will create more value with this data in terms of speed, intuitivity and relevance throughout #customerjourneys, from searching and looking to purchasing and consuming. #customerexperiences #contentmanagement #contentmanagement #contentstrategy #contentoperations #operationalexcellence #technologyadoption #productleadership #productlifecycle #retailers #retailindustry
Alex Belov
8mo
Bruno, intriguing! But doesn't all this AI and data mining risk stripping the human touch from customer experiences? Where's the balance, or have we lost it already?
President • CMO • Editor in Chief • Founder
8moThanks Bruno, some interesting points. Consumer Perspective on AI Consumers are receptive to AI that simplifies product research and provides quick answers, with a preference for technologies that reduce friction rather than increase frustration. The Balance Between Personalization and Intrusiveness While personalized experiences are valued, there’s a thin line between helpful suggestions and perceived intrusiveness, potentially leading to consumer discomfort. Generative AI for Product Discovery Tools like Zalando’s fashion assistant demonstrate the potential of generative AI in enhancing product discovery through conversational interfaces. AI for Backend Efficiency AI applications extend beyond customer-facing features, offering significant improvements in logistics, inventory management, and operational efficiencies. AI in Personalized Marketing Advanced AI enables hyper-personalized marketing efforts, such as Starbucks’ use of real-time personalization engines to send tailored offers to individuals based on their recent purchases.