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[Audio] Data Story On. DATA STORY ON.

[Audio] Introduction to Amazon Key Business Areas: E-commerce Cloud computing (A-W-S--) Streaming (Prime Video) Artificial Intelligence (Alexa) Physical stores (Whole Foods, Amazon Go) Mission: “To be Earth’s most customer-centric company, where customers can find and discover anything they might want to buy online.”.

[Audio] Importance of Data Storytelling Definition: Data storytelling is the method of creating a narrative from complex data to make it understandable and actionable. Why Amazon Relies on Data: Helps in strategic decision-making across all business areas. Informs personalized marketing strategies, product development, and customer service..

[Audio] Evolution of Amazon’s Data Strategy Early Days Expansion Present Day Focus on online book sales with simple algorithms for product recommendations. Integration of advanced machine learning and (A-I ) to create a more personalized shopping experience. Massive data infrastructure powering everything from A-W-S cloud services to predictive analytics for customer purchases..

[Audio] Customer Engagement by Age Group Engagement Trends: Younger audiences (18-34): Heavy mobile users, higher engagement with tech and fashion categories. Middle-aged users (35-54): Focus on home improvement, electronics, and family-related shopping. Older audiences (55 plus ): Preference for health products, books, and subscription services (for example, Kindle)..

[Audio] Geographic Engagement Insights Top Markets & Customer Preferences by Region U S Europe India Fashion, electronics, eco-friendly products. Electronics, home goods, and grocery (Amazon Fresh). Prime membership, home improvement, and tech products..

[Audio] Customer Facilities and Services Customer Service: 24/7 support, hassle-free returns, and Amazon Chatbot for quick assistance. Innovative Facilities: Alexa: Smart assistant for voice shopping and home automation. Amazon Go: Cashier-less, frictionless shopping experience..

[Audio] Prime Membership Impact Impact on Retention: Higher retention rates due to seamless shopping experience and exclusive perks. Impact on Retention: Higher retention rates due to seamless shopping experience and exclusive perks..

[Audio] Personalization through Data How Amazon Personalizes: Amazon’s algorithms analyze user behavior, past purchases, and preferences to provide tailored product suggestions. (A-I ) and Machine Learning: Deep learning models predict what users might want to buy next based on browsing and shopping patterns. Impact on Sales: Personalized recommendations contribute to 35% of Amazon’s total sales..