HVAC Servicing Company Reduces Technician Assignment Time by 50% with AI
Services Offered: AI / ML Services
Industry: Professional services
Challenge
A California-based HVAC servicing company was facing a critical challenge as they grappled with the increasing volume of service requests, leading to slow and inefficient technician assignments. Manual review processes conducted by dispatch operators, involving considerations such as technician experience, availability, and
proximity to customer locations, proved to be time-consuming, error-prone, and resulted in prolonged service waiting times.
AI-powered
Our Approach
We developed an AI-powered recommendation engine that automates the process of assigning technicians to service requests.The recommendation engine uses a variety of factors to determine the best-suited technician for each request, including:
The recommendation engine was thoughtfully developed as an internal web app, ensuring seamless adoption by the company’s dispatch operators.
Deployment
The recommendation engine was developed using the following technologies:
Business Impact
The implementation of the recommendation engine has resulted in a number of benefits for the HVAC servicing company, including:
Overall, the implementation of the Automated Technician Recommender Platform has been a success for the HVAC servicing company. The recommendation engine has helped the company to improve its efficiency, customer satisfaction, and bottom line.
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