Book the Right Person, at a Time That Actually Holds
Custom AI that schedules against real capacity, skills, and drive time - then predicts the appointments about to fall through and refills the slot before the day is wasted.
How it works
A scheduling tool that only knows who is free will happily send an unqualified tech 50 miles across town to a customer who was never going to be home. The information needed to avoid that - skills, certifications, parts on the van, traffic patterns, and the fact that this customer has cancelled twice - already sits in your FSM, CRM, and history. We build AI that uses all of it at the moment of booking, holds the schedule together when the day goes sideways, and runs inside your existing dispatch workflow.
Capacity-Aware Booking & Slot Offers
Customers and agents only ever see slots that your operation can genuinely deliver, priced against how you want the day to fill.
- Real-time availability computed from skills, licenses, shift patterns, PTO, and parts or room availability
- Job-duration prediction from your own history rather than a fixed 60-minute default per work type
- Slot ranking that favors density and margin - filling gaps near existing stops before opening a new corridor
- Overbooking and buffer rules tuned per branch, work type, and season, with hard caps you control
Technician Matching, Routing & Shift Fit
The right person assigned on skill and proximity, with drive time treated as the real cost it is.
- Matching on certifications, equipment familiarity, customer or site history, and language preference
- Route sequencing with live traffic, time windows, lunch and hours rules, and depot or parts-pickup stops
- Shift and crew building for multi-site teams, respecting labor rules, seniority bidding, and overtime thresholds
- Continuous re-optimization during the day as jobs run long, techs call out, or emergency work lands
No-Show Prediction, Reminders & Rescheduling
Appointments scored for risk before the day arrives, with outreach and backfill handled automatically.
- No-show and cancellation scoring from booking lead time, channel, prior history, and confirmation behavior
- Reminder cadence matched to risk - a text for reliable customers, a call and confirmation for high-risk bookings
- Two-way SMS, email, and voice rescheduling that offers only valid slots and updates dispatch instantly
- Automatic waitlist backfill when a slot opens, so a cancellation becomes a filled hour instead of a gap
Where teams use it
Built for real revenue work.
Field Service & Skilled Trades
HVAC, electrical, plumbing, and equipment service networks dispatch on skill and drive time instead of who answers the radio first. Emergency calls get absorbed into the day without collapsing every downstream time window.
Multi-Location Clinics & Appointment Businesses
Dental, physical therapy, imaging, and specialty practices fill provider calendars against real room, equipment, and staffing constraints. Risk-based reminders and waitlist backfill turn predictable no-shows into recovered revenue.
Shift & Workforce Scheduling
Retail, warehouse, and staffing operations build shift plans from demand forecasts, availability, and labor compliance rules. Open-shift offers go to qualified staff automatically instead of a manager working the phone at 6am.
“Dispatch used to rebuild the afternoon by hand every single day. Now the board re-sequences itself when a job runs long, and the customer gets the new window before they think to call us.”
FAQ
Questions, answered.
Does this replace ServiceTitan, Salesforce Field Service, or our booking system?
No - it makes the one you have schedule better. We integrate through the platform API, run the optimization and prediction layer, and write assignments and time windows straight back so dispatchers work in the same board as always. We have connected to ServiceTitan, Salesforce Field Service, Housecall Pro, Dynamics, Epic and athenahealth scheduling, and custom in-house systems.
How does no-show prediction work, and what data does it need?
It learns from your own appointment history - lead time between booking and visit, booking channel, prior attendance, confirmation responses, day and time, and job type. Twelve months of records with clear outcomes is usually enough for reliable scoring. The output is a risk band per appointment that drives reminder intensity, deposit requirements, or double-booking policy, all under rules you set.
Can dispatchers override the AI?
Always, and they should. Every suggested assignment shows why it was made - skill match, drive time, window fit - and a dispatcher can pin a tech, lock a job, or block a slot with one action. Those overrides become training signal, so the system learns the local rules nobody ever wrote down.
How fast can this go live, and what does it cost?
Most scheduling builds ship in 4 to 12 weeks at a fixed project cost, typically starting with one region or service line before rolling out. You get a dedicated team, SOC 2 controls, and a 99.9% uptime target for anything customer-facing. The code and models are yours at handover, with no per-technician AI surcharge as you grow.
Keep exploring
More from the Leadify platform.
Fix the Schedule Before It Fixes Your Margin
Send us a month of job and appointment history and we will scope a fixed-price build against it.