We delivered an AI Dispatch Controller for a Regional Plumbing Company with Fourteen Trucks

A plumbing company running fourteen trucks across three counties was dispatching by gut feel — the office manager scanning a whiteboard, juggling phone calls, and hoping the nearest available tech had the right parts on his van. Now an AI Dispatch Controller owns the daily board. When a call comes in, the system evaluates every active technician simultaneously: who has the skill certification for this job type, who is closest factoring real-time traffic, whose current job will wrap soonest based on historical duration for that repair category, and whose truck inventory includes the likely parts needed so the job doesn't require a supply-house stop. It assigns the optimal tech in under three seconds and sends the customer a confirmed arrival window accurate to within twenty minutes. When an emergency call comes in — a burst main, a sewage backup — it automatically identifies which scheduled jobs can flex by an hour without breaking their promised windows, re-sequences the affected routes, texts those customers a proactive update, and slots the emergency without blowing up the rest of the day. End of each week it produces a report showing windshield time per tech, first-trip completion rate, and which trucks need restocking based on parts consumed versus parts used. Average drive time between jobs dropped thirty-one percent, first-trip fix rate went from sixty-eight to eighty-nine percent, and the office manager stopped working through lunch.