Highlights
Custom LLMs fine-tuned on automotive manuals
NLP-based voice & text interface for quick queries
Hassle-free integration with workshop tools
Custom LLMs fine-tuned on automotive manuals
NLP-based voice & text interface for quick queries
Hassle-free integration with workshop tools
Client
AutoCare Plus
Industry
Automotive
Country
US
Project Size
Large
Duration
5 months
Team Size
15
Technicians struggled with fragmented data and slow access to repair documentation.
We trained an LLM to understand auto-specific queries and respond with instant, relevant solutions.
AutoCare Plus scaled technician productivity and consistency with smart, AI-powered repair assistance.
| 40% | Reduction in Diagnostic Lookup Time |
| 2x | Faster Service Process Completion |
| 50% | Faster Troubleshooting |
| 35% | Reduction in Repeat Service Requests |
01
Understand goals and define LLM objectives.
02
Outline scope, cost, and resource needs.
03
Build custom LLM architecture for precision.
04
Optimize models using quality datasets.
05
Validate accuracy and deploy seamlessly.
06
Refine models based on real-world insights.
01
04
Coretus empowered AutoCare Plus to streamline workshop operations, improve service quality, and accelerate technician performance using AI-driven LLM solutions.
Our mechanics now troubleshoot like engineers. This is a true leap for the industry.
- Liam Walker, AutoCare Plus
