- Amazon introduced new AI features to address online apparel fit challenges, as poor fit drives nearly 25% of returns.
- Features include personalized size recommendations, “Fit Review Highlights”, standardized size charts, and a “Fit Insights Tool” using NLP.
- The goal is to apply AI across the journey to help customers find better-fitting clothing.
Amazon is introducing several new AI-powered features aimed at helping customers find better-fitting clothing when shopping online. As apparel returns due to poor fit account for nearly 25% of online orders, Amazon seeks to provide more personalized size recommendations and sizing insights through large language models.
Algorithmic size suggestions
Key updates include algorithmic size suggestions adapted to individual fit preferences, “Fit Review Highlights” summarizing sentiment on garment measurements, standardized size charts to eliminate errors, and a “Fit Insights Tool” giving sellers aggregated feedback to improve manufacturing.
These initiatives build on Amazon’s AI efforts to enhance product descriptions, generate images, and summarize customer reviews using generative techniques.
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Helps reduced return items
By applying AI across the shopping journey, Amazon intends to combat the longstanding struggle of gauging apparel fit without physical try-ons that often prompt returns.
The advanced natural language processing underpinning the new offerings extracts sizing information from various data sources. The compiled fit insights, powered by machine learning analysis, then personalize each customer’s online shopping experience through AI-generated summaries and recommendations.
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Vision to improve consumer experiences
As online retail grapples with elevated return rates, particularly in fashion categories, Amazon’s rollout of tailored AI innovations aims to provide greater confidence in discovering and selecting truly fitting items.
More broadly, the launches continue Amazon’s integration of AI throughout its platforms to improve consumer and seller experiences.
