Problem

The Carrier HVAC Residential Business Unit faced a significant challenge in collecting root cause data from end users to predict system outages and improve maintenance. Due to the complexity of their operations, it was a difficult task to develop machine learning algorithms to address the issue. The company was struggling to collect accurate data on the root cause of system outages, which led to several issues for homeowners.

These included frequent repairs, high energy consumption, and lack of control over HVAC systems. The company needed a solution to minimize these issues and provide a proactive approach to maintenance.

Learn more about our solution here.

Solution

To address this problem, Carrier partnered with a technology company that specialized in enhancing service technicians in the field. The partnership involved integrating fault code trees into the partner's workflow feature and providing technicians with a detailed checklist of steps to resolve fault codes.

This interactive checklist captured every response and fed the data back to Carrier through an API. The inputted data was then used to create predictive modeling through machine learning algorithms.

Impact

Minimized repairs by detecting issues early and providing maintenance recommendations
Enhanced efficiency resulting in reduced energy consumption and lower utility bills
Improved user experience due to proactive approach to maintenance and ability to control and monitor HVAC systems remotely

"This partnership had an incredible impact on our ability to collect accurate data on system outages and provide a proactive approach to maintenance." - Carrier HVAC Residential Business Unit

Team

Team Member #1 - Technology Partner
- Integrated fault code trees into workflow feature
- Provided technicians with detailed checklist of steps to resolve fault codes
Team Member #2 - Carrier HVAC Residential Business Unit Representative
- Liaised with technology partner to ensure successful integration of fault code trees and checklist feature
- Analyzed data collected through API and provided feedback for predictive modeling algorithms

Carrier HVAC Improves Maintenance with ML