Field Nation has launched the first and only matching algorithm that recommends top field service contractors to clients. By leveraging a decade’s worth of data, Field Nation helps clients mitigate risk and gain quick access to quality talent.
Based on 10 years of client and service provider data, the matching algorithm uses vast data sets to identify the best retail service and install technician based on past performance, client ratings, proximity, and a client’s job requirements.
Based on 10 years of client and service provider data, the matching algorithm uses vast data sets to identify the best retail service and install technician based on past performance, client ratings, proximity, and a client’s job requirements to ensure work is done on-time, on-budget, and to the client’s satisfaction.
By applying machine learning techniques to this data, Field Nation’s Artificial Intelligence (AI) algorithms identify a predictive quality score for each retail service and install technician. This score represents the retail service and install technician’s value for each work order submitted —the higher the score, the higher the quality of the contractor. The matching algorithm will then suggest retail service and install technicians whose scores reach or exceed the client’s requirements.
“We are excited to provide our clients with this targeted approach that will help match clients’ mandatory work requirements, increase overall job performance, and decrease any potential issues,” says Mynul Khan, founder and CEO of Field Nation. “Only Field Nation can do this because we have the depth of a decade’s worth of data that enables us to build these predictive models. And our platform continually improves as it accumulates more client and retail service and install technicians data.”
The matching algorithm initiative is led by Field Nation Data Scientist Alex Smith. Smith received his PhD in physics in 1995. Before a career change to data science, he spent almost two decades as a researcher in the field of experimental high-energy physics, building experiments to study the fundamental building blocks of the universe. Since then, his passion has led him to apply his knowledge of physics to AI and developing disruptive products through experimentation.
“Quality will win over quantity when seeking retail service and install technicians,” says Smith. “With our focus on quality using the matching algorithm we are targeting three key areas for our clients: Speed of access to talent, the quality of talent, and a fair price to reach that talent.”