70%
“70% improvement in time savings for generating insights from images.”
As published on labelbox.com. Captured by usedby on Oct 7, 2026.
What happened
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.
- 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.”
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.
With Databricks Lakehouse Platform and Labelbox, we’re able to realize our full ambition of creatively led, data-driven content creation.
What the story claims, and what we checked
We compared the story with its live page on Oct 7, 2026.
- The figure: 70%CheckedPrinted word for word on the page, near the name of Burberry.
- The passage quoted aboveCheckedCopied word for word from the page, near the name of Burberry.
- Burberry uses LabelboxCheckedConfirmed line. Latest check across sources: Oct 7, 2026.
- The result itselfNot checkedWe quote it; we did not measure it.




