In the era of the experience economy, every customer wants tailor-made products that fit their needs. eCommerce and online retail platforms are now using Al-based solutions to intrigue customers. AI helps these companies deliver refined search results and suggest relevant products to online shoppers based on their preferences. Data annotation is imperative to all Al/ML-based operations. The data annotation tools market is expected to reach over 10 billion USD by 2028. It refers to the categorization and labeling of data based on its specific use. High-quality and accurate data annotation requires human effort where users label and classify information. Based on this data, AI/ML models then apprehend essential attributes from the database. With the help of data annotation, Al also analyzes different product attributes and recommends related products in online and offline shops. Data Annotation - Use Cases And Benefits To The Retail And eCommerce Industries Following are the w...
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