# How Burberry uses Labelbox

**70%**: “70% improvement in time savings for generating insights from images.”

As published on [labelbox.com](https://labelbox.com/customers/burberry-customer-story/). Captured by usedby on 2026-10-07.

- Company: [Burberry](https://www.usedby.ai/companies/burberry.md)
- Tool: [Labelbox](https://www.usedby.ai/tools/labelbox.md)
- Industry: [Fashion & Apparel](https://www.usedby.ai/companies/industry/fashion-apparel.md)
- Teams: Marketing, Data Science

## What the story says

Burberry uses Labelbox inside its Databricks Lakehouse Platform to label marketing images and produce the visual signal that trains its object detection and classification models. Marketing users score candidate images against models that predict campaign engagement by channel and region.

Summary written by usedby from the source page, in English. The figures are those of Labelbox and Burberry, not ours.

> Generating insights on images used to take two months of hands-on data science work; on Labelbox it's a two-hour self-service process.

- **10 head count**: “10 head count saved by implementing Labelbox rather than building in-house.”
- **4 years**: “4 years of continually decreasing total cost of ownership (TCO) with Databricks.”

> With Databricks Lakehouse Platform and Labelbox, we’re able to realize our full ambition of creatively led, data-driven content creation.
>
> Ben Halsall, Analytics Technology Director

## What usedby checked

We compared the story with its live page on 2026-10-07.

- Checked: the figure 70% is printed word for word on the page, near the name of Burberry.
- Checked: the passage quoted above is copied word for word from the page, near the name of Burberry.
- Checked: Burberry uses Labelbox. Confirmed line. Latest check across sources: 2026-10-07.
- Not checked: the result itself. We quote it; we did not measure it.

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Source: https://www.usedby.ai/case-studies/burberry-labelbox · How we check: https://www.usedby.ai/methodology