Zalando Builds a GPT-4o Content Creation Copilot to Auto-Suggest Product Attributes
ZalandoOpenAI GPT-4 Turbo · OpenAI GPT-4oZalando built a Content Creation Copilot that uses OpenAI's GPT-4 Turbo, later migrated to GPT-4o, to auto-suggest product attributes from images during article onboarding. The content creation stage was largely a manual process — copywriters used a Content Creation Tool and performed their own QA — contributing about 25% of the overall content production timeline. The system combines a prompt generator, article masterdata, and a translation layer mapping GPT output to Zalando's internal attribute codes, achieving roughly 75% accuracy while enriching about 50,000 attributes per week.
Overview
Zalando built a Content Creation Copilot that uses OpenAI's GPT-4 Turbo, later migrated to GPT-4o, to auto-suggest product attributes from images during article onboarding. The content creation stage was largely a manual process — copywriters used a Content Creation Tool and performed their own QA — contributing about 25% of the overall content production timeline. The system combines a prompt generator, article masterdata, and a translation layer mapping GPT output to Zalando's internal attribute codes, achieving roughly 75% accuracy while enriching about 50,000 attributes per week.
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Inspect the highlighted sourceThe challenge
The content creation stage of product onboarding at Zalando was largely a manual process: copywriters enriched attributes using a Content Creation Tool and performed QA themselves, with the manual process contributing to approximately 25% of the overall content production timeline.
The solution
Zalando built a Content Creation Copilot that combines a Prompt Generator, Article Masterdata and an OpenAI GPT model (starting with GPT-4 Turbo, then migrating to GPT-4o) to generate product attribute suggestions from uploaded images, pre-filling and visually marking AI-suggested attributes in the Content Creation Tool while leaving the final decision to human reviewers, with a translation layer converting GPT output into Zalando's internal attribute codes.
Reported business value
The Content Creation Copilot achieved an accuracy rate of approximately 75% while enriching around 50,000 attributes on average per week, speeding up Time to Online and improving both the coverage and completeness of product data.
Sources
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