Amazon Marketplace has introduced a new method for evaluating the quality of A+ Content on product detail pages. A+ Content, which includes rich media like text, images, and video, allows brands to communicate product and brand value. High-quality A+ Content can increase sales by 8–20 percent for selling partners.
The flexibility offered by A+ Content, which lacks strict specifications, leads to significant variation in content composition and quality across different brands. This inconsistency makes holistic quality assessment challenging, as traditional methods often evaluate individual assets in isolation rather than their combined effect.
To address these challenges, Amazon Marketplace developed an evaluation system utilizing Amazon SageMaker AI. This system employs Vision-Language Models (VLMs) to understand and evaluate complete ecommerce content holistically. It combines VLM semantic scores with OCR readability signals and uses a lightweight CatBoost classifier, trained on expert annotations, to assess quality.
The new system aims to provide actionable recommendations to selling partners, moving beyond simple numeric scores. By assessing the entire content experience and reflecting nuances across product categories, it helps brands transform average content into high-quality content. This improvement assists customers in making informed purchasing decisions and can lead to increased revenue for selling partners.
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Amazon Marketplace implemented a new system using Amazon SageMaker AI, Vision-Language Models (VLMs), and a CatBoost classifier to evaluate the quality of A+ Content on product detail pages. This system assesses content holistically, combining VLM semantic scores with OCR readability signals, to provide actionable recommendations for selling partners.