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Revolutionize Your Online Business: How AI in E-Commerce Transforms the Industry

Data Science Dojo

Enhanced Personalization : AI analyzes customer data, such as purchase history and browsing behaviors, to tailor the shopping experience. Data Collection : AI systems gather vast amounts of data from various sources, such as browsing history, purchase history, and customer interactions.

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Meet the company that sells your lost airplane luggage

Hacker News

What are the ethics of reselling travelers’ intimate items? 1960s (via Unclaimed Baggage) On the edge of town, Owens set up an informal storefront, crafted a sign (“Unclaimed Baggage”) by the door, and, with the help of his wife and 2 sons, splayed out his acquired items on card tables. How does the process work?

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eBay not working but there is a fix

Dataconomy

Under Cookies and Site Data, click on Clear browsing data. It offers a wide variety of products for sale, including new and used items. Amazon also offers a number of features that make it a good alternative to eBay, such as free shipping on many items and a 100% satisfaction guarantee. Click on Privacy & Security.

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AI-powered marketing: Revolutionising customer engagement in 2023 by igniting new possibilities

Data Science Dojo

Amazon , a trailblazer in the e-commerce industry, provides a compelling case of utilizing AI algorithms to analyze customer browsing history, purchase behavior, and demographic data to provide highly personalized product recommendations. Amazon leverages AI algorithms to provide personalized product recommendations to its customers.

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Control digital voice speech and pitch rate using the Watson Text to Speech (TTS) library

IBM Data Science in Practice

One use case you could try is using this TTS service to build a mobile to-do app that allows users to capture voice memos to save as written to-do items, or a simple out-of-the-box model to capture English voices without any customization for further training purposes. The IBM Build Lab team is here to work with you on your AI journey.

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Drive hyper-personalized customer experiences with Amazon Personalize and generative AI

AWS Machine Learning Blog

Announcing Amazon Personalize Content Generator to make recommendations more compelling Amazon Personalize has launched Content Generator, a new generative AI-powered capability that helps companies make recommendations more compelling by identifying thematic connections between the recommended items.

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How Meesho built a generalized feed ranker using Amazon SageMaker inference

AWS Machine Learning Blog

Solution overview To personalize users’ feeds, we analyzed extensive historical data, extracting insights into features that include browsing patterns and interests. Several interaction-based features are also used to capture the affinity of the user towards an item, item category, or item properties like price, rating, or discount.

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