Case Study: Diesel improves product data and discovery with Vue.ai automated tagging

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Preview of the Diesel Case Study

Diesel saves 30 hours per week per person with Vue.ai automated product tagging

Diesel, a globally recognized luxury brand, faced slow and inconsistent manual product tagging, which delayed onboarding and created catalog inconsistencies. They needed an automated solution that could integrate with their existing systems and recognize brand-specific attributes like iconic logos. To address this, Diesel partnered with Vue.ai to implement its AI-powered automated product tagging solution.

Vue.ai’s solution provided automated, AI-driven tagging that integrated via API with Diesel’s PIM system, creating a custom taxonomy and learning to identify specific logos. This streamlined the workflow, saving 30 hours per person weekly and generating over 22,300 standardized tags. The results included a faster go-to-market, enhanced on-site search and filters, and richer product data for better merchandising decisions.


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