Truck Condition Inspection Agent

Problem

Condition appraisal for incoming used trucks was driven by veteran appraisers' eyes and instinct. With appraisers becoming harder to hire and reliance on individual judgment causing inconsistent standards, the time-to-resale and the accuracy of refurbishment cost estimates had plateaued.

Approach

• Trained per-damage-type discriminative models (exterior scratches, bed dents, frame corrosion, paint chips, body-mount wear) on the client's historical intake photos and appraisal records
• Combined image analysis with an LLM so the agent presents not just a verdict but where on the truck — and what observation — led to it
• Built an operations loop where appraiser overrides feed back into training data, so accuracy compounds on the lot

Outcome

• Standardized appraisal criteria — even new appraisers deliver consistent quality
• Higher appraisal throughput and more accurate refurbishment estimates
• Auditable reasoning paired with photos improves traceability for post-sale claims