Reimagining Product Discovery Through Artificial Intelligence
Challenge
Finding the correct repair part is one of the most frustrating moments in the customer journey. Product names are often unfamiliar, visual differences can be subtle, and traditional search methods create friction that leads to abandoned purchases and customer frustration.
Strategy
I identified an opportunity to simplify the process by allowing customers to search visually rather than relying on technical product knowledge.
The vision was straightforward:
Take a photo. Find the right part.
Execution
I led the ideation and development of the Danco AI Part Finder, an intelligent visual search tool trained on more than 30,000 product images.
The project required extensive model training, testing, refinement, and collaboration across multiple teams to improve recognition accuracy and ensure reliable product recommendations.
Results
- 30,000+ images used for model training
- Hundreds of hours invested in model optimization
- 98% retrieval accuracy rate
- Significantly reduced customer friction during product selection
- Improved confidence throughout the repair journey
The result was an innovative AI-powered experience that transformed a complex search process into a simple and intuitive customer interaction.