IFS launches the latest version of IFS Mobile Workforce Management system with feature updates including automated resource planning, rostering and shift scheduling as well as extended deployment options in the cloud.
The enhancements include:
• Automatic shift generation—This version supports automatic shift planning and rostering for individuals or groups based on constraints such as number of work hours, number of work days, and permissible shift patterns.
• Self-learning scheduling—Leverages an extended data archive to allow for more educated and informed scheduling decisions based on historical data. The solution automatically learns to produce more accurate work schedules by analyzing a broad range of data.
• Cloud deployment options—Features such as capacity planning and target-based scheduling can now run in scalable, multi-tenant Microsoft Azure environments to support occasional users and ensure maximum system availability for the solution’s Dynamic Scheduling Engine (DSE).
•Big data optimization—This version offers better support for large datasets, including support for aggregation and de-aggregation of planning data, extended options for filtering tasks and time-slicing as well as intelligent support for allocating processor time.
• Enhanced visual insights—A cockpit view empowers users with customizable key performance indicators for quick and easy data access, driving efficiency and a positive user experience.
