25%
“a 25% reduction in turnaround time versus comparable services”
As published on labelbox.com. Captured by usedby on Oct 7, 2026.
What happened
Walmart uses Labelbox to produce expert-graded training and evaluation data for its conversational AI, including Text-to-Shop and customer service chatbots. The team also labels product images for object detection and classification, with workflows connected to Google BigQuery through the Python SDK.
Summary written by usedby from the source page, in English. The figures are those of Labelbox and Walmart, not ours.
- 95%“Labelbox's expert services delivered high-quality signal at 95% accuracy”
- 25%“Data accuracy improved by an estimated 25%”
Labelbox's expert services delivered high-quality signal at 95% accuracy and a 25% reduction in turnaround time versus comparable services. Labelbox now helps power Walmart's Text to Shop and customer service platforms, and is working with other Walmart teams on LLM and GenAI initiatives.
Conversational AI is a very exciting and challenging field, because large language models are extremely sensitive to data quality,” shared Philippe Hanrigou, a Walmart director of data-science dedicated to conversational AI and chatbots.
What the story claims, and what we checked
We compared the story with its live page on Oct 7, 2026.
- The figure: 25%CheckedPrinted word for word on the page, near the name of Walmart.
- The passage quoted aboveCheckedCopied word for word from the page, near the name of Walmart.
- Walmart uses LabelboxCheckedConfirmed line. Latest check across sources: Oct 7, 2026.
- The result itselfNot checkedWe quote it; we did not measure it.




