3/18/2024 0 Comments Download Source Insight 4.00.0131![]() We also want to make size charts more accurate and useful for customers. Reimagining size charts with AI-powered data that you can trust The highlight guides each customer to the most relevant information, so they don’t have to manually parse through hundreds of reviews for each item. We then use AI to summarize these details in an easy-to-read review highlight. We use the latest and most advanced forms of AI, like large language models (LLMs), to extract details from customer reviews, such as size accuracy, garment fit on specific body areas, and fabric stretch. ![]() The feature tells a customer whether to size up or down in a particular style based on reviews from customers who have purchased the item in the same size. Our AI-powered recommendation extracts product data such as style, color, price, size, rate of return, and customer reviews across our vast product catalog to recommend other flattering styles as a customer shops. We use AI to help them discover alternative best-fitting styles based on their preferences. We also know that shoppers love to evaluate their options. For example, if you bought child pants in a certain size this month, the algorithm will consider that you might need a bigger size in the coming months. We built the algorithm so it’s continuously learning and self-adapting to changes in customers’ size needs. It also takes into account sizes bought and kept by similar customers for the same product, or for similar-fitting products. From there, the algorithm learns from millions of product details, such as style, size chart, and customer reviews, and billions of anonymized customer purchases. Here’s how it works: The algorithm anonymously clusters together customers with similar size and fit preferences, and products with a similar fit.
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