Case Study: a leading fashion ecommerce company scales AI-generated ad production with Labelbox

Leading Fashion Ecommerce Company cuts ad asset production from 2 weeks to 3 days with Labelbox

A leading fashion ecommerce company wanted to improve its algorithmically generated ads but found that professionally produced assets were a bottleneck to scale. The challenge was to generate high-quality creative assets and copy by teaching AI models the taste and judgment of expert stylists. To achieve this, they partnered with Labelbox.

Using Labelbox's data engine as core infrastructure, the company captured stylists' expert judgment as structured signal to train its AI models. This solution provided a centralized platform for human QA and collaboration. As a result, Labelbox helped cut the time to produce a set of ad assets from two weeks down to just three days, allowing the company to scale its algorithmic asset generation and run more effective marketing campaigns.