Generative AI is transforming the retail landscape by enabling real-time decision-making, which is crucial as merchants navigate tighter margins and faster consumer cycles. Rather than serving merely as a marketing tool, generative AI is becoming an essential operational lever that enhances how retailers forecast demand, manage inventory, and engage with customers on a larger scale.
Amazon Web Services Inc. (AWS) is at the forefront of this shift, applying generative AI to various aspects of retail operations, including inventory allocation, demand planning, and customer engagement. Petra Schindler-Carter, director of retail/CPG at AWS, highlighted this evolution at AWS re:Invent during an exclusive interview with Dave Vellante of SiliconANGLE Media. Drawing from Amazon’s extensive operational expertise, AWS is assisting retailers in converting longstanding logistics and personalization hurdles into automated, data-driven decisions that yield measurable business benefits.
“Where should I ship it? Which distribution centers in the network do I need to place my product to be efficiently close to customers?” Schindler-Carter said, reflecting on her experience at Amazon.com. “We’ve just finessed and battle-tested over the years with our own machine learning and now gen AI.” She noted that the integration of generative AI has led to improvements exceeding 40% in inventory accuracy, ensuring products are positioned appropriately within distribution networks.
As generative AI reshapes marketing and advertising, it is enabling hyper-personalized, data-driven outreach. According to Schindler-Carter, this technology can deliver targeted messages to the right customers at pivotal moments, thereby increasing efficiency and maximizing return on investment (ROI). “For a retailer, I would give you an example. Mercado Libre is one of our big customers. They’ve done an excellent job using technology to get their ad targeting better,” she stated, pointing out that this has resulted in more than 20% improvements in click-through rates and overall ad performance.
In the current data-driven marketplace, the role of generative AI is not just a trend but a strategic necessity that aligns with contemporary consumer behavior and competitive dynamics. “If you go back 12, 18 months, the buzzword was gen AI equals a chatbot on your website,” she observed. “We’ve left that way behind.” In her discussions with clients, Schindler-Carter emphasized that generative AI permeates every facet of the retail value chain, from product creation and logistics to marketing and delivery.
This transformation reflects a broader trend in the industry where generative AI is increasingly seen as critical for retailers looking to thrive in a competitive environment. With its ability to enhance operational efficiency and personalization, generative AI is set to redefine the future of retail, making it more responsive and adaptive to consumer needs.
For more insights, the full video interview is available as part of SiliconANGLE’s coverage of AWS re:Invent.
As generative AI continues to evolve, its implications for the retail sector are profound, promising not just operational improvements but also a deeper, more meaningful connection between retailers and consumers.
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