6 Oct · 4 min read
The demand for Field Service Management (FSM) solutions like Oracle Field Service Cloud (OFSC) has been on a rise due to technological advancements and increased customer expectations. The global market for this is predicted to reach 5.39 billion dollars by 2023. A large portion of this market share will be countries that are ahead in mobile and cloud adoption.
As enterprises have to handle high volumes of data, most of the solutions were deployed on-premise for easy management. But as the data increased, scaling the solutions for more data was a major challenge. On-premise solutions are no longer the norm and cloud solutions soon became widely adopted. With FSM, transitioning to cloud solutions is now a smooth, accelerated process.
FSM not only allows for consolidated data management but also allows authorized personnel to access the data remotely. It provides extremely secure and dependable connectivity and the architecture can be easily moulded to fit the current and future needs.
Oracle Field Service Cloud (OFSC) is an application that combines field service management and mobility features in a single solution. It can process multiple data processing requests in real-time and uses this data to predict future behaviour. This increases efficiency and also reduces organizational costs.
OFSC uses sophisticated algorithms to assign resources based on their availability.
OFSC enables technicians to manage their work conveniently through their mobile phones.
OFSC enables field technicians to easily collaborate with their peers and other colleagues.
Based on past data, the OFSC system can identify trends and patterns to predict future behaviour and adapt to changes.
OFSC is empowered with predictive technology that leverages real-time data to predict job locations, routes, etc.
Oracle Field Service Cloud is an FSM solution that can truly transform the user experience. It is geared with Oracle’s reputed machine learning and artificial intelligence technologies to optimize the field service work. The solution is self-learning and uses predictive technology to create schedules based on the user’s requirements.