The Eraneos Field Service Management Toolkit

Toolkit contents

The Eraneos Field Service Management Toolkit is a comprehensive resource designed to help organizations leverage AI for optimizing field service operations. It includes practical tips for workforce optimization, tools for building a business case for using Data Analytics and GenAI, and a detailed case study showcasing how AI improved maintenance efficiency for a major public transport company in the Netherlands.

1. Workforce Optimization in Practice: Practical Tips

Optimizing the field service workforce is essential for transportation and logistics and energy & utilties companies to remain competitive while ensuring customer satisfaction. Successful optimization requires clear decisions and a focus on a few critical success factors. In this overview, we list the most important factors and provide practical tips for addressing these challenges.

2. A Business Case for Using Data Analytics and GenAI for Field Service Management

Are you also facing a severe shortage of technical staff? With Data Analytics and GenAI, you can not only retain your workforce, but also increase their productivity and streamline your field service management process. In this whitepaper, we provide tools to help you build a business case for deploying GenAI.

A financial business case is a critical tool to support investment decisions and, more importantly, to build support among internal stakeholders. The process starts with describing the business priorities and analyzing possible alternatives. Once these are clear, the business case can be systematically built.

3. Case Study: Smarter Maintenance with GenAI. An innovative approach to field service management

One of the largest public transport companies in the Netherlands, transporting hundreds of thousands of passengers every day, was facing a significant challenge within its maintenance process. With a fleet of hundreds of vehicles and complex operational requirements, proper maintenance is essential to ensure a reliable schedule.

However, the quality of repair records often proved inadequate. Low literacy among mechanics, time constraints, and a lack of priority for detailed reporting resulted in incomplete and inconsistent logs. This led to confusion about previous repairs, resulting in inefficient maintenance, increased costs and unnecessary work. The solution lay in the innovative use of GenAI.

4. AI innovation as a solution to staff shortages: an overview

Shortages of skilled labor and the growing demand for fast, efficient service make optimal field service management (FSM) more important than ever. By improving the scheduling, dispatching, and tracking of work orders, you can significantly strengthen the coordination and performance of field service operations. With AI, you can achieve new levels of efficiency in FSM and ensure seamless communication in a world where technology demands are increasing every day.