ChatGPT Plugin

AI Dispatcher by FieldCamp

Schedule and dispatch jobs

Brand: FieldCamp

Category: Operations
Primary Subcategory: Field Service Management Software

Integration details

Description

FieldCamp AI Dispatcher brings your field-service operations into ChatGPT. Connect your FieldCamp workspace and ChatGPT can see your live jobs, technicians, daily schedule, and dispatch performance, then act on them: create jobs, run AI dispatch optimization across your team, and accept or reject the AI's suggested assignments — all from chat. Built for dispatchers and operations teams who want to plan and adjust their day conversationally. Read tools only retrieve data; write tools (create job, run dispatch, accept/reject) make explicit, reviewable changes, each annotated with read/write hints.

Integration type: Plugin
Verification status: Not applicable
Platform: ChatGPT
Category: Operations
Primary Subcategory: Field Service Management Software
Secondary Subcategories: None listed
Brand: FieldCamp
Access: Account required
First tracked: 2026-08-26
Tool count: 27
Geography: US

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Primary Subcategory

Competing in ChatGPT Field Service Management Software

View Category

Listed in alphabetical order

Primary Subcategory

A4B CMMSComing soonGet notified

AI Dispatcher by FieldCampComing soonGet notified

BlueSuiteComing soonGet notified

CrisphiveComing soonGet notified

D-Tools CloudComing soonGet notified

Tools

27 tools agents can invoke

Accept one AI dispatch suggestion using the visitId from list_jobs. This commits the assignment and time and may sync it to the user-authorized field-service platform.
accept_suggestion
Accept or reject AI suggestions for the specified jobs from the interactive dispatch panel.
app_bulk_decide_suggestions
Create one field-service job and optionally start AI dispatch. If coordinates are omitted, the address is sent to Google Maps for geocoding.
create_job
Create one technician with the fields supplied by the interactive technician form.
app_create_technician
Show the current AI-dispatch credit balance and plan entitlement for this workspace. This tool cannot purchase credits or initiate checkout.
get_credit_balance
Credit balance, plan, and recent usage history for the interactive Credits panel.
app_credits
Permanently delete one job and its related visits after explicit confirmation in the interactive job panel.
app_delete_job
Discover public EV chargers near EV technicians and save the discovered stations from the interactive charging panel.
discover_charging_stations
Show grounded dispatch performance for the last 30 days: dispatch rate, assigned and unassigned jobs with recorded reasons, technician workload and drive time, time-window adherence, and service duration. Savings are shown only when a stored baseline snapshot exists.
get_performance
Full detail for one job (customer, window, skills, visits) for the job detail/edit panel.
app_job_detail
List the workspace EV charging stations (manual, depot, and OpenChargeMap-discovered) with power rating, charger type, and network, plus the current Smartcar telematics mode. Renders an interactive Charging map + list that loads Google Maps. For ChargerHelp / EV fleets.
list_charging_stations
List jobs with times in the workspace timezone. tab: "queue" (not yet dispatched), "ai-dispatch" (AI-suggested, pending review), "confirmed" (accepted/scheduled), or omit for all. Renders as an interactive list where AI suggestions can be accepted or rejected.
list_jobs
List project jobs with their ordered phases, required skills, and estimated hours. Renders a focused project-plan view.
list_projects
List technicians (id, name, skills, home base) — use ids for preferredTechIds in create_job. Renders as an interactive roster.
list_technicians
Jobs + technicians with coordinates for the interactive Map view. The panel loads Google Maps to render the locations.
app_map
Reject one AI dispatch suggestion using the visitId from list_jobs, returning the job to the dispatch queue.
reject_suggestion
Run AI dispatch for pending jobs. This calls the planning solver, consumes workspace credits, and writes dispatch suggestions.
run_dispatch
Set the Smartcar telematics mode from the interactive charging panel.
app_set_smartcar_mode
Workspace + AI-dispatcher settings for the interactive Settings panel.
app_settings
Skill catalogue (id + name) for the skills picker in job/technician forms.
app_skills
Full detail for one technician (editable fields + recent visits) for the technician panel.
app_tech_detail
Update only the dispatcher settings shown in the interactive settings panel.
app_update_dispatch_settings
Update the editable fields of one existing job from the interactive job panel.
app_update_job
Update one technician with the fields supplied by the interactive technician form.
app_update_technician
Update one visit schedule, assignment, or status from the interactive job panel.
app_update_visit
Update the workspace name from the interactive settings panel.
app_update_workspace
Show the schedule grouped by technician (optionally one date, YYYY-MM-DD), with confirmed visits and pending AI suggestions in workspace local time. Renders as an interactive board where suggestions can be accepted or rejected.
get_schedule

FAQs

AI Dispatcher by FieldCamp ChatGPT Plugin FAQ

How the directory, categories and Discoverability Score work.

Read the methodology

How do I improve AI Dispatcher by FieldCamp's ChatGPT Plugin discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

What are AI Dispatcher by FieldCamp alternatives on ChatGPT?

As of 2026-10-10, AI Dispatcher by FieldCamp competes with A4B CMMS, BlueSuite, Crisphive, D-Tools Cloud, DroneBundle, EquipDash, EZFlow Pro, Field Control and 24 more in ChatGPT Field Service Management Software, ranked by public Discoverability Score.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.