Get the right people at the right place, at the right time
Workforce optimization has become increasingly important as business becomes more dynamic and cost conscious in a global environment. Companies are looking for a solution which helps assign the right employees to do the right tasks at the right place, at the right time while achieving a high level of employee job satisfaction. Our workforce optimization solution can be divided into two parts: Staff Rostering and Job Assignment.
Determine who should go to work and when
Assign workers to tasks/ clients
Auto-scheduling & Auto-assignment
Fill the shifts automatically with the right staffs.
Allow to pre-assign tasks such as training, AL
Auto-generate roster which matches staffs' skills, experience, availability to work at each shift request
Comply with the latest regulations and requirements
Schedule Changes & Changes Handling
Enhance staff satisfaction.
Consider preferences of staffs for shifts, day-off, and other personal considerations
Fulfill swap requests by identifying matches, while upholding compliance and business policies
Try to satisfy staff preferences without violating the fairness criteria
Easy to handle inevitable changes.
Allow to choose either re-schedule the roster by the system, re-schedule manually or remain unchanged for any unexpected events
(e.g. leave request, swap request, temporary secondment to another shift, sudden increase in demand, etc.)
Identify re-schedule conflicts, alert you and help you resolve the conflict quickly.
Increase productivity: Reduce time spent on scheduling, assign staffs more efficiently and hence improve the overall productivity
Increase staff satisfaction: Ensure all staffs are treated fairly and maximize the fulfillment of preferences
Improve the quality of service: Ensure adequate staffs with a well-balanced set of skills and experiences to handle any potential work that might be needed in the working area
Fast react to unexpected events: Enable to fix issues quickly and accurately
Optimize production schedules with machine intelligence and human considerations with consideration of various production constraints and capacity, and handle disruption flexibly and efficiently.