Revolutionizing Fleet Maintenance: How LLMs Are Powering Smarter Knowledge Access for Refrigerated Truck Service
Webinar February 26, 1pm ET| 10am PT
For refrigerated truck fleet maintenance providers, every minute counts. When technicians struggle to locate the right repair procedures, technical documentation, or troubleshooting guides, it can lead to costly delays, equipment downtime, and potential cargo spoilage. But what if your team had instant access to the most relevant, structured knowledge—right when they need it?
Join us for a webinar exploring how Large Language Models (LLMs) are transforming knowledge management in fleet maintenance. We’ll take a deep dive into the ongoing journey of W&B Service Company, a leader in refrigerated truck and trailer maintenance, as they work to optimize knowledge access for technicians across their service network. Discover how they are tackling challenges like inconsistent technical documentation, metadata gaps, and unstructured PDFs—and how AI-powered solutions are expected to improve efficiency, reduce service time, and enhance fleet uptime.
Key Takeaways:
- The W&B Service Company Initiative: How they are leveraging AI to modernize knowledge retrieval for refrigerated fleet technicians.
- Designing a Retrieval-Augmented Generation (RAG) System: A step-by-step guide to building LLM-driven knowledge architectures.
- Overcoming Data Challenges: Addressing fragmented manuals, metadata issues, and document inconsistencies.
- Projecting the ROI: Expected impacts on technician productivity, cost savings, and fleet performance.
While W&B’s AI-powered knowledge transformation is still unfolding, this webinar will provide insights into the real-world implementation process, lessons learned so far, and how fleet service providers can take similar steps to future-proof their operations.
Ready to empower your technicians with AI-driven knowledge? Register now and take the first step toward smarter, faster fleet maintenance!
REGISTER
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![Seth-Earley-CEO-Earley-Information-Science](https://www.earley.com/hubfs/Headshots/Seth-Earley-CEO-Earley-Information-Science.jpg)
Meet The Speaker
Seth Earley
An expert with 20+ years experience in Knowledge Strategy, Data and Information Architecture, Search-based Applications and Information Findability solutions.
Seth has worked with a diverse roster of Fortune 1000 companies helping them to achieve higher levels of operating performance by making information more findable, usable and valuable through integrated enterprise architectures supporting analytics, e-commerce and customer experience applications.
![heather-eisenbraun-headshot](https://www.earley.com/hubfs/heather-eisenbraun-headshot.jpg)
Meet The Speaker
Heather Eisenbraun
Heather specializes in content engineering and operations, supporting sustainable sourcing, management, retrieval, and presentation of valuable information. Her expertise includes information architecture, structured content modeling and reuse, DITA XML, knowledge management programs, content strategy, content health and value, metadata design, and search applications.
![Sanjay Mehta](https://www.earley.com/hubfs/Sanjay%20Mehta.jpeg)
Meet The Speaker
Sanjay Mehta
Sanjay has over two decades of hands-on experience with hundreds of customers for search/analytics, ml/ai, and commerce. He has held a number of strategic roles with renowned vendors such as Lucidworks, Reflektion, Oracle, NetSuite, Endeca, and ATG. His focus is on incorporating enterprise information architecture with ML/AI to deliver practical user experiences that generate tangible value.