Automatically plan annual leave based on rules, requests and past leaves using our off the shelf Annual Leave Planning algorithm.
Increase acceptance by showing why certain requests have been granted and others have been declined.
Only consider past requests and decisions and give everyone a fair chance to get the leave they requested.
Stick to rules set for leave assignments and reduce exceptions to ensure operations continue as usual.
Make the most out of the laws and rules and generate optimised results without breaking any of them.
Requests will automatically be accepted or denied and results will be put back into the WFM system you’re already using.
No matter how many employees you have, our AI service delivers an optimised plan in no time.
The Annual Leave Planning AI-service always results in fair answers based all the leave requests, their priority and previously assigned leave requests.
Planning annual leave is one part of the workforce management process. Planning and scheduling your employees in the strategic long run and on an operational level could be just as powerful for your business.a
Optimise your workforce planning from beginning to end. Get the right people at the right time in the far future with Capacity Planning, but also optimise your workforce in the short term by accurately forecasting labour demand and automatically creating and filling those shifts.
Predict future demand for strategic staffing and planning for the impact of holidays, seasonality, and events.
Get actionable insights on the gap between future supply and demand – And make strategic hiring / cross-training decisions within budget accordingly.
This automated employee scheduling tool allows you to make optimal shifts that minimise costs while maintaining desired service levels and to assign shifts to employees to reduce overtime, while maximising compliance with labour laws and employee preferences.
Our AI services do not replace your current solutions, but enhance them. This way, your staff’s workflow will stay the same and we avoid long development cycles.