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Case Study: Toyota Motor North America reduced MTTR by 80% with Datadog

Toyota Motor North America Case StudySourced & dated by Case Study Desk
Key facts · TL;DR
Company
Toyota Motor North America
Industry
Automobile Manufacturing
Challenge
Toyota's digital automation team monitored systems reactively, with some issues taking weeks to resolve.
Headline result
80% reduction in mean time to resolution across manufacturing systems

Key results

80%
Reduction in mean time to resolution (MTTR)

The challenge

Toyota Motor North America's digital automation engineering team monitored automated guided vehicle (AGV) networks and other production systems reactively. Issues such as network disconnections could take weeks to diagnose and resolve, creating lost production time on the manufacturing floor.

The solution

The team deployed the Datadog Agent across its systems and used Datadog's monitoring together with the Watchdog AI/ML capability to move from reactive to proactive operations. The Agent rollout itself was completed in minutes rather than weeks.

Datadog's precision monitoring capabilities and AI/ML is a game changer for us.

ZM
Zakir Mohammed
Lead of Digital Automation Engineering, Toyota Motor North America

The results, in context

Toyota Motor North America reduced its mean time to resolution by 80% with Datadog, resolving in hours or minutes issues that previously took weeks. The team credits Datadog's precision monitoring and AI/ML for the shift to proactive operations.

Products used

Datadog DatadogDatadog Infrastructure MonitoringDatadog Watchdog