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Episode 27 — AI in Retail and Marketing
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A tartalmat a Jason Edwards biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Jason Edwards vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.
In retail and marketing, AI’s role is visible every time you see a product recommendation or dynamic pricing change. This episode examines how customer segmentation, recommendation engines, and personalization platforms shape consumer experiences. We discuss demand forecasting, inventory management, and visual search as tools for operational efficiency. Chatbots handle inquiries, sentiment analysis monitors social media, and predictive models estimate customer lifetime value.
Retail AI also drives competitive advantage, but not without risks. Privacy concerns from extensive consumer data collection, manipulation through hyper-targeted ads, and biases in recommendation systems highlight ethical questions. Case studies include cashier-less stores, loyalty program optimization, and AI-driven advertising campaigns. By the end, listeners will understand how retail and marketing showcase both the power of AI to engage customers and the importance of responsible data use. Produced by BareMetalCyber.com, where you’ll find more cyber prepcasts, books, and information to strengthen your certification path.
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