IFS.ai Copilot for Dispatchers assists dispatchers to prioritize tasks and manage schedules efficiently. It offers several predefined functions to help with common user queries and tasks, which are described below.
IFS.ai Copilot for Dispatchers is automatically activated when you open IFS Cloud Copilot on the following pages:
The Service Scheduling-related pages include predefined prompts to guide users in creating relevant queries. These prompts are not part of the IFS.ai Copilot itself but are integrated with the Service Scheduling pages mentioned above. They serve as reminders of the available queries and use cases that the Copilot can assist with.
IFS.ai Copilot for Dispatchers supports the following queries and use cases:
This query retrieves resources (members) with active work shifts who are not currently logged in.
This provides a summary of a given request, including key details presented in a concise descriptive paragraph.
This query retrieves the most recent location for a specified technician. If multiple matching records are found, it generates a numbered list of technician names, allowing the user to select the exact technician and view the associated location details.
Retrieves the top five work tasks that have exceeded their Allocation Start or Allocation End dates as of today.
Identifies technicians who are behind schedule for today and displays the count of related tasks for each resource.
This query retrieves jeopardized SLA information, highlighting SLAs with due dates that fall within the user-specified hours, helping users identify which SLAs need immediate attention to ensure timely fulfillment.
Returns the number of new jobs received and completed today, while also comparing these counts to the total tasks and completed tasks for the same month last year.
Returns a dispatcher shift handover summary that highlights the top five unallocated and ongoing tasks, along with any violations. It also displays dataset-related exceptions, including counts and descriptions of exceptions, as well as the affected tasks or resources.