# How Adidas uses Databricks

**60%**: “Latency dropped by 60%, cutting average response time from 15.5 seconds to six.”

As published on [databricks.com](https://www.databricks.com/customers/adidas). Captured by usedby on 2026-10-02.

- Company: [Adidas](https://www.usedby.ai/companies/adidas.md)
- Tool: [Databricks](https://www.usedby.ai/tools/databricks.md)
- Industry: [Fashion & Apparel](https://www.usedby.ai/companies/industry/fashion-apparel.md)
- Teams: design, product, marketing, customer service

## What the story says

adidas built a RAG chatbot on Databricks that analyzes sentiment across more than 2 million customer product reviews. It lets product, design, marketing and customer service teams, including nontechnical users, get insights from customer feedback.

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

> Latency dropped by 60%, cutting average response time from 15.5 seconds to six. More efficient prompt engineering and smaller context windows reduced token input size by 98.5%, from 200,000 to just 3,000 tokens per query.

- **98.5%**: “More efficient prompt engineering and smaller context windows reduced token input size by 98.5%, from 200,000 to just 3,000 tokens per query.”
- **30–40%**: “Through GenAI, adidas improved review analysis efficiency by up to 30–40%, cutting down extensive manual workloads across global teams.”
- **91.67%**: “91.67% cost savings”

> The GenAI infrastructure we built is already enabling use cases beyond product reviews,
>
> Rahul Pandey, Senior Solutions Architect

## What usedby checked

We compared the story with its live page on 2026-10-03.

- Checked: the figure 60% is printed word for word on the page, near the name of Adidas.
- Checked: the passage quoted above is copied word for word from the page, near the name of Adidas.
- Checked: each number in our summary is printed on the page.
- Checked: Adidas uses Databricks. Confirmed line. Latest check across sources: 2026-10-02.
- Not checked: the result itself. We quote it; we did not measure it.

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