Case Study: Diesel achieves 90% faster product onboarding and standardized catalogs with Vue.ai's VueTag

A Vue.ai Case Study

Preview of the Diesel Case Study

Image attribute extraction using VueTag Vue.ai’s automated tagging solution

Diesel, the global lifestyle brand within OTB (≈$1B revenue in 2020), faced slow, inconsistent product onboarding: seasonal shoots required manual tagging that took teams over a week per season, produced non‑standardized attributes, and delayed go‑to‑market. To address this, Diesel deployed Vue.ai’s automated product tagging solution, VueTag, to automate attribute extraction, recognize iconic logos, and integrate with their existing PIM.

Vue.ai integrated VueTag via API with Diesel’s Hyphen‑Italia PIM, trained custom taxonomies and logo recognition, and implemented a feedback loop for continuous accuracy improvement. The result: instant tagging that cut catalog processing time by up to 90%, 18,000 images tagged across 130 batches and 22,300 tags generated, faster product digitization, reduced manual effort, standardized catalogs, and improved search and product discovery.


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