Feature Request

Map-Based Scheduling from the Waiting List
When fertilizer programs or other recurring service programs are scheduled, we need a better way to organize upcoming jobs by their service date ranges and geographic locations. Scheduling individual jobs without being able to see where they are located makes it difficult to build efficient daily routes. Requested Feature: When a fertilizer or other recurring service program is created, each application should automatically populate the waiting list with its assigned service date range. From the waiting list, we should be able to filter upcoming jobs by date range, service type, or all services due within that period. Key Functionality: Automatic Waiting List: Each scheduled program application automatically appears on the waiting list with its assigned service date range. Date Range Filtering: Select a specific date range to display all jobs due during that period. Service Filtering: Choose a specific service, such as fertilization, perimeter pest control, mosquito treatments, or bed weed maintenance, or view all services due during that date range. Map View: Display all filtered jobs on the map so we can visually identify where upcoming work is located throughout the city. Map-Based Job Selection: Allow us to select individual jobs or groups of jobs directly from the map, including the ability to draw a boundary around a neighborhood or section of the city to select multiple jobs at once. Bulk Scheduling: Once jobs are selected on the map, allow us to assign them to a specific date and crew in one action. Waiting List Updates: Once jobs are scheduled, they should automatically be removed from the unscheduled waiting list while remaining visible on the appropriate crew's schedule. Future applications should remain in the waiting list with their own date ranges. Why This Matters: We service customers throughout Lincoln and the surrounding communities. Rather than scheduling applications individually or sending technicians all over the city, we want to group services geographically. For example, if we have 150 fertilizer applications due over the next two weeks, we should be able to pull up those 150 jobs on a map, select 20 properties in southwest Lincoln, and schedule them all for Monday. We could then select another group of properties in northeast Lincoln for Tuesday. This should also work across multiple service types so that we can efficiently group different services in the same area when appropriate. Overall Goal: Create a waiting list that functions as a visual scheduling tool, allowing us to see what work is due, where it is located, and quickly assign jobs to crews based on geographic areas. This would significantly reduce drive time, improve route efficiency, increase daily production, and eliminate much of the manual work involved in scheduling recurring service programs.
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