Why AI moves margin in residential services.
Residential services covers HVAC, plumbing, electrical, pest control, garage door, and the adjacent essential-home trades. As a private equity category, it's now a $650B market growing at roughly 10% a year, with platforms like Apex Service Partners, Wrench Group, Apex Clean Air, Neighborly, and American Residential Services running aggressive add-on programs. The operating reality at the branch level hasn't kept pace with the deal pace. Most portcos run on ServiceTitan, route their inbound calls through a CSR team that goes home at 5pm, dispatch their trucks from a whiteboard, and renew membership plans through a postcard. Every one of those is exactly the shape of problem the current generation of AI is finally good at.
Start with the phone. ServiceTitan's own data says the average home-service call converts at 30 to 40% when a human answers and drops below 5% when it hits voicemail. On a 200-call day across a portco, that means 30 to 50 calls a day quietly evaporate into a competitor's calendar. Most portcos still treat the answering service as a $4-an-hour line item rather than the single highest-yield revenue point in the business. A voice agent that answers in two rings, qualifies the call, and drops a booked job into the ServiceTitan calendar is the closest thing to free EBITDA in this sector.
Then dispatch. The dispatcher's job is a real-time optimization problem (which technician, which truck, which job, which order, given live traffic and skill match) that humans solve with experience and a fair amount of guesswork. ServiceTitan's Job Value Predictor is the native answer, and it works. The portcos still leaving 10 to 15% of revenue per truck on the table are the ones whose dispatcher overrides the recommendation half the time because nobody's audited the gap. A weekly review of dispatcher decisions versus model recommendations is the cheapest 90-day project in this category, and it tends to surface a single person whose intuition is genuinely better than the model and three whose intuition isn't.
Membership is the last quiet leak. A maintenance club or service-plan program is the asset that justifies the multiple a PE buyer will eventually pay. Renewal rates of 60 to 70% are common. 85% is the realistic ceiling. The 15-point gap is almost entirely an outreach problem: the right customer gets the right reminder through the right channel at the right interval. AI doesn't write the renewal copy, the marketing team does. AI runs the segmentation, picks the channel, and adjusts the cadence based on the response from the last 90 days. On a 20,000-member base, recovering 10 points of renewal is worth $250K to $450K a year at typical plan pricing. That's the math sponsors keep missing because nobody tracks renewal rate as a board-level KPI.