# How Booking.com uses Arize AI

As published on [arize.com](https://arize.com/customers/how-booking-com-scales-ai-observability-with-arize-ax/). Captured by usedby on 2026-10-05.

- Company: [Booking.com](https://www.usedby.ai/companies/booking-com.md)
- Tool: [Arize AI](https://www.usedby.ai/tools/arize-ai.md)
- Industry: [Travel & Hospitality](https://www.usedby.ai/companies/industry/travel-hospitality.md)

## What the story says

Booking.com uses Arize to trace and monitor its GenAI agents and traditional ML models (such as ranking and fraud detection) in production and during development. Teams use it for latency monitoring, evaluations, drift detection and cohort analysis to find the causes of regressions and fix them.

Summary written by usedby from the source page, in English. The figures are those of Arize AI and Booking.com, not ours.

> In one case, an Arize monitor fired when latency for a specific agent suddenly spiked several standard deviations above its baseline. Using Arize, our team quickly pulled concrete examples of slow calls to the alerting agent and confirmed that a new configuration was deployed as an experiment using a different model than before.

## What usedby checked

We compared the story with its live page on 2026-10-05.

- Checked: the passage quoted above is copied word for word from the page, near the name of Booking.com.
- Checked: Booking.com uses Arize AI. Confirmed line. Latest check across sources: 2026-10-05.
- Not checked: the result itself. We quote it; we did not measure it.

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Source: https://www.usedby.ai/case-studies/booking-com-arize-ai · How we check: https://www.usedby.ai/methodology