Patented Image Recognition for Recalled Materials
A patented image recognition and geocoding validation system that enabled a $15M+ sales channel.
- Before
- Manual identification of recalled materials
- After
- Patented image recognition and geocoding validation
Recalled materials processing at scale
The Problem
Recalled materials processing depended on manual identification: slow, error-prone, and impossible to scale into a reliable revenue stream.
The System
A patented image recognition and geocoding validation system, delivered through a mobile verification workflow, confirms recalled materials at the point of intake. Built during my tenure as CIO at Rebuilders Automotive Supply, this was production machine learning shipped inside a real operation, years before the current AI wave.
The Outcome
The system enabled a $15M+ sales channel by making recalled materials processing accurate enough to productize. It is the same discipline I now apply to AI implementation engagements: workflow before model, review where risk lives, and outputs people can act on.
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