Use cases / Scheduling & Dispatch

AI Dispatch & Route Optimizer Assistant

In short: Dispatcher juggles skills, location, urgency, parts - reschedules create windshield time. This workflow uses ServiceTitan/Housecall Pro + n8n + Maps API + LLM summary to fix it, and it is rated hard to set up.

Trades
HVAC, Plumbing, Electrical
Category
Scheduling & Dispatch
Difficulty
Hard
ROI lever
Jobs per tech per day
Tools
ServiceTitan/Housecall Pro + n8n + Maps API + LLM summary

Workflow

  1. Morning pull: open jobs, tech skills/location.
  2. AI proposes route/order + flags conflicts.
  3. Dispatcher approves (human-in-loop).
  4. Auto-text customers ETAs.

Starter prompt

You are a dispatch assistant for [Company]. Inputs: today's open jobs (address, job type, time window, priority), techs (start location, skills, hours), and drive times. Propose a job order for each tech that respects time windows and skills, put emergencies first, and flag conflicts or jobs that can't fit. Output a table per tech plus a list of issues for the dispatcher to decide. This is a proposal only; the dispatcher approves before anything is sent to customers. Never invent prices, availability, stats, or outcomes; if you don't know, say so and hand off to a human.

What to measure

Example: Saving 1 drive hour/tech/week is illustrative - compare drive time and jobs/day before/after.

Safety note: any customer-facing AI should hand gas smells, sparking, smoke, or active flooding to a human or emergency services right away. Last updated 2026-10-20. How we pick and check use cases.

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