case study

Revolutionizing Auto Repair Pricing with AI

KUNGFU.AI helped Mobile Tech RX transform its auto repair pricing tool by implementing a more advanced AI model, turning flawed data into a fast, accurate, and scalable solution for real-time damage assessment.

AI Solution(s)
Computer Vision
Industry
Software
blue car, automated pricing in autotech

Dents, Data, and Dollars

Vision

Instant Quotes, Seamless Repairs

Mobile Tech RX (MTRX) set out to transform the auto reconditioning industry with an ambitious vision: an automated pricing tool that could deliver repair quotes in seconds. No more guesswork—just fast, accurate pricing based on real-time analysis of car dents, scratches, and damage.

Challenge

Great Idea, Flawed Data

The MTRX team had put in the hard work, manually labeling over 3,000 images of vehicle dents with categories like “dent,” “hail,” “paint,” and “conventional” (beyond repair). But when they applied an off-the-shelf object detection model, the results were underwhelming. The model struggled to detect and price individual dents reliably, leaving MTRX with a tool that didn’t meet their needs. They needed a better model—and fast.

Breakthrough

Smarter Models, Stronger Results

KUNGFU.AI diagnosed the core problem and proposed a game-changing solution. We identified a more advanced object detection model that offered higher accuracy, better configurability, and the ability to generate per-dent pricing. This new model could be expanded over time to include additional classifications and regression outputs.

To avoid starting over with a costly and redundant labeling effort, we used classic data science techniques to make the most of the existing dataset, transforming it into a foundation for a functional and accurate model. Throughout the engagement, we worked closely with MTRX’s technical team, hosting weekly sessions to teach machine learning and deep learning fundamentals—leaving them with not just a solution, but the skills to evolve it.

Outcome

AI That Pays Off—Literally

Despite the small dataset, early model scoring deemed the project a success. MTRX and KUNGFU.AI quickly deployed the model on Amazon Web Services (AWS), integrating it into MTRX’s direct-to-consumer app. Pair programming sessions ensured a smooth handoff, enabling the MTRX team to implement and extend the model independently. The result? A scalable, AI-powered pricing tool that takes MTRX’s app from helpful to truly indispensable for technicians and customers alike.

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