Car manuals are often lengthy and complex, making it challenging for mechanics to quickly locate specific repair instructions. 

Mechanics frequently spend significant time sifting through these manuals to find the appropriate guidance for various types of damage. 

This manual search process not only causes delays in repair times, leading to extended wait times for customers, but also increases the risk of ordering incorrect parts. 

These inefficiencies result in additional costs, operational setbacks, and ultimately, dissatisfied customers.

We developed a RAG-based chatbot interface that addresses these challenges by providing a quick and accurate way to access relevant repair information. 

Instant Access to Repair Instructions‍

Mechanics can simply enter a description of the car damage, and the system retrieves the relevant repair steps directly from the manual, saving significant time and effort.

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Error Reduction with Targeted Information Retrieval

By presenting only the relevant sections from the manual, the RAG-based solution minimized the chances of mechanics ordering incorrect parts.

Streamlined Workflow for Faster Repairs

This reduces wait times for customers and enhances overall service quality, leading to greater customer satisfaction.

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