Amazon Fashion is revolutionizing the world of online shopping by leveraging artificial intelligence (AI) to address the persistent challenge of fit in fashion e-commerce. The inability to try on garments before purchasing has led to increased returns and soaring shipping costs. To tackle this issue, Amazon Fashion has developed a groundbreaking AI tool called Fit Insights.
Fit Insights utilizes a large language model to aggregate customer feedback on fit, style, and fabric. By contextualizing returns and analyzing size charts with customer reviews, the AI-powered tool identifies sizing issues and defects. This valuable data is then shared with brands, enabling them to improve their products, accurately describe the fit to customers, and even adjust their sizing nomenclature.
One of the key features of Fit Insights is personalized size recommendations. This deep learning-based algorithm evaluates sizing relationships between brands, customer preferences, and product details to recommend the best-fitting size for individuals. Privacy concerns are addressed through anonymous grouping of customers with similar size preferences. The algorithm continuously adapts as shoppers’ sizing needs change, ensuring accurate and tailored recommendations.
In addition to size recommendations, Fit Insights generates AI-generated fit review highlights. These summaries provide customers with insights from other buyers who have purchased the same size, helping them determine whether they need to size up or down.
Furthermore, Amazon Fashion has revamped its size charts using AI technology. The company extracts and cleans product size chart data from multiple sources, resulting in standardized and accurate charts. This improvement will greatly benefit customers who struggle with understanding variable sizing systems across different styles and brands.
By harnessing the power of AI, Amazon Fashion aims to enhance the online shopping experience and reduce the frustration associated with ill-fitting garments. Through Fit Insights, customers can make informed purchase decisions, brands can improve their products, and the overall efficiency of the fashion e-commerce industry can be optimized.
The source of the article is from the blog zaman.co.at