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With Databricks Agent Bricks, 7‑Eleven Cuts Search Time by 60% and Improves First‑Time‑Fix Rates

Om_Jha
Databricks Employee
Databricks Employee

To keep thousands of stores running smoothly, 7‑Eleven needed technicians to access the right maintenance knowledge in seconds, not minutes. With Databricks Agent Bricks, they deployed an AI-powered Technician’s Maintenance Assistant in Microsoft Teams that surfaces precise answers from manuals, diagrams, and images on demand.


The Impact:

  • Up to 60% reduction in time spent searching maintenance documentation​.
  • 25% improvement in first‑time‑fix rates​.
  • 40%+ lower latency by consolidating onto a single Databricks-based architecture​.


By unifying vector search, vision models, and RAG on the Databricks platform, 7‑Eleven simplified infrastructure, reduced operational overhead, and improved store uptime and customer experience.


Read the full case study here.

​Explore how Databricks Agent Bricks can power intelligent assistants in your organization!

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