AI-Enhanced Workforce Optimization using UKG Pro WFM and Groovy Scripting
To keep your employees happy, boost performance, & cut down on waste in today's fast-paced business world, you need to get the most out of them. UKG Pro Workforce Management (WFM) is a set of tools that help you plan your work, keep track of your time, & figure out how many people you need to hire. This is an excellent way to write your own explanations that respect the company's policies & laws. Artificial Intelligence improves UKG Pro Workforce Management by letting you utilize predictive analytics to find problems as they happen & address them by changing how you do things. Artificial Intelligence takes care of mundane office tasks & turns raw data about employees into relevant information for Human resources managers. This is good for business. The article describes the story of how a company used UKG Pro, Groovy scripting, & Artificial Intelligence to address scheduling problems & make sure there were always enough workers for the number of customers. The company was able to prove that they were effectively managing its staff & getting them more involved by using dynamic forecasting, proactive absence management, & strategic scheduling. After the case study, a lot of things changed. For instance, the projections are 30% more accurate, & the schedule is 25% less likely to cause problems. These examples indicate that Artificial Intelligence solutions for managing people could change a lot of the way things are done. This webinar is for operations managers, system integrators, & human resources directors who want to learn how to get the most out of UKG Pro & Artificial Intelligence-powered bespoke scripts. The stats demonstrate that it will help them attain their unclear goal of making their employees better
Institutions
- JPMorgan Chase & Co (United States) (US)
- PDF Solutions (United States) (US)
Publication Details
- Journal
- International Journal of Emerging Trends in Computer Science and Information Technology
- Published
- 2024-12-30
- DOI
- https://doi.org/10.63282/3050-9246.ijetcsit-v5i4p109
- Primary Topic
- Scheduling and Timetabling Solutions
- Type
- article
- Field-Weighted Citation Impact
- 0.00