What is scheduling-specific employee information in SAP CRM-RPL-ICS - Interaction Center Agent Scheduling?

SAP Term: scheduling-specific employee information

• Component: CRM-RPL-ICS

• Component Name: Interaction Center Agent Scheduling

• Description: Information required by the system for each employee in order to include the employee when calculating a workforce management schedule for a location. Scheduling-specific employee information includes: Profile -- general information on each employee Work area assignment -- where the employee can work Schedule rules -- the days and times when the system can schedule an employee

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• Key Concepts: 
  Scheduling-specific employee information is a component of the CRM-RPL-ICS Interaction Center Agent Scheduling module in SAP. This component allows users to store and manage employee-specific information related to scheduling, such as availability, skills, and preferences. This information can then be used to create optimized schedules for agents. 
  
  How to use it: 
  To use this component, users must first enter the employee-specific information into the system. This can be done manually or through an automated process. Once the information is entered, users can then use it to create optimized schedules for agents. The system will take into account the employee's availability, skills, and preferences when creating the schedule. 
  
  Tips & Tricks: 
  When entering employee-specific information into the system, it is important to ensure that all of the data is accurate and up-to-date. This will help ensure that the schedules created are optimized for each individual agent. Additionally, it is important to regularly review and update the employee-specific information in order to keep the schedules up-to-date. 
  
  Related Information: 
  The CRM-RPL-ICS Interaction Center Agent Scheduling module also includes other components such as shift planning and resource management. These components can be used in conjunction with scheduling-specific employee information to create more efficient and effective schedules for agents.