LLM Driving Auto Workshops

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Highlights

Custom LLMs fine-tuned on automotive manuals

NLP-based voice & text interface for quick queries

Hassle-free integration with workshop tools

Key Details

Client

AutoCare Plus

Industry

Automotive

Project Size

Large

Duration

5 months

Challenges

Technicians struggled with fragmented data and slow access to repair documentation.

Delays finding repair instructions
Manual lookup through old manuals
Inconsistent diagnostic accuracy
No central knowledge base

Solutions

We trained an LLM to understand auto-specific queries and respond with instant, relevant solutions.

Custom LLM fine-tuned on manuals
NLP-based voice/text interface
Contextual repair guidance
Fast integration with workshop tools

Outcome

AutoCare Plus scaled technician productivity and consistency with smart, AI-powered repair assistance.

Higher service throughput
Improved diagnostic accuracy
Reduced downtime
Increased customer satisfaction

40%	Reduction in Diagnostic Lookup Time

2x	Faster Service Process Completion

50%	Faster Troubleshooting

Our Roadmap

Discovery & Needs Analysis

Understand goals and define LLM objectives.

Project Estimation & Planning

Outline scope, cost, and resource needs.

Model Design & Execution

Build custom LLM architecture for precision.

Training & Fine-Tuning

Optimize models using quality datasets.

Snapshots of Innovation

Conclusion

Coretus empowered AutoCare Plus to streamline workshop operations, improve service quality, and accelerate technician performance using AI-driven LLM solutions.

Our Tech Armor

Where Top Leaders Believe

Our mechanics now troubleshoot like engineers. This is a true leap for the industry.

- Liam Walker, AutoCare Plus

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