Parts Town announced an enhanced version of its AI-powered PartPredictor tool, delivering a more intuitive experience that helps users find the right OEM parts faster, improve first-time fix rates and reduce costly equipment downtime.
“PartPredictor is changing how technicians approach a repair,” says Emanuela Delgado, GVP of growth and innovation at Parts Town Unlimited. “It helps them have the most likely parts needed already in hand, avoid return trips and get equipment fixed faster than ever before. That means less downtime for operators and a better experience for everyone involved.”
Key takeaways:
· PartPredictor analyzes real-world data from millions of technician repairs to find the OEM parts most commonly used for specific equipment issues in commercial foodservice and HVAC industries.
· The new version now features 120 OEM brands and more than 18,000 models.
· Designed for both users with technical expertise and customers with limited diagnostic details, new enhancements make it easier to find the right parts faster.
· Customers can start with the information they have – from just the brand and model number to a simple symptom or detailed insights – PartPredictor will show the most common equipment issues and the parts most often used to fix them.
· Built-in prompts narrow search results in real-time.
- SnapScan: Customers use Parts Town’s mobile app to scan both HVAC and commercial foodservice equipment data labels to quickly find the exact parts, manuals, and OEM components needed.
- PartSpin 3D: PartSpin, Parts Town’s 360-degree parts images, now features enhanced 3D images of thousands of top-selling OEM parts. This next-generation visual identification tool allows customers to explore parts from every angle, delivering a near-hands-on experience and greater confidence in ordering the right part the first time.
· OEM AutoShip: Enables automatic ordering of the parts, chemicals, and consumables customers use most, with new functionality that allows multiple products in a single subscription.
