Med spas, salons, fitness studios, dental groups, auto, fitness — operations where every location loses leads to missed calls and no-shows, and where the group as a whole runs on a patchwork of tools that don't talk to each other. Productized AI for individual locations, custom engineering for the group.
Multi-location service is a vertical where the pain shows up at two levels — operational at each location, and strategic across the group. The same operator usually owns both, and neither has clean software answers.
Calls missed during peak hours. No-shows running 15–25%. Review velocity dependent on whichever staff member happens to remember to ask. Standard SMB problems, multiplied by your location count.
Each location runs the same software (booking, POS, payroll). Pulling cross-location reports means logging into each one, exporting CSVs, and assembling a picture that's stale by lunch. The owner is doing this every morning.
The senior tech at Location A knows things the trainee at Location B doesn't. Customers get different answers depending on which location they call. At scale, this is a brand consistency and compliance problem, not just an operational one.
Most multi-location operators start at the location level — Growth or Pro Stack on each location, sometimes rolled out one location at a time. Same engineer, same infrastructure across locations. Group-level engineering work comes after.
Default fit for most service locations. Multi-channel automation, AI lead qualification with auto-booking, lapsed-client reactivation, vertical software integration (Vagaro, Mindbody, Booker, Square, etc.), bi-weekly optimization.
See Growth Stack →For larger locations or regulated practices. Adds custom RAG knowledge base, multi-step lead-to-close orchestration, real-time dashboard, and HIPAA-conformant deployment with BAAs. Med spa, dental, behavioral health.
See Pro Stack →For single-chair / single-bay / very small location operations. Fast deployment for the basics — voice agent, SMS reminders, review automation. Common in early-stage rollouts before standardizing on Growth or Pro across locations.
See Starter Stack →Once individual locations are running on Growth or Pro Stack, group-level engineering becomes the next investment. Four services from the Custom Tier catalog map most directly to multi-location operations.
The unified daily view across locations. Per-location revenue, traffic, anomalies, action items, and an AI-generated daily summary in your inbox. Mobile-responsive. Built in 4–6 weeks.
See full details →ML model trained on your customer data. Identifies at-risk customers 30–60 days before they churn. Triggers personalized reactivation. Particularly valuable in subscription verticals (fitness, gym, recurring service).
Discuss →Production-grade RAG on your SOPs, training material, policies. New hires ramp in days, not months. Customers get consistent answers regardless of which location they call. Compliance-friendly.
See full details →Marketing channel attribution unified across locations. Where is paid spend actually working? Which location's revenue is driven by which channel? Best-effort multi-touch attribution feeding directly off your unified data layer.
Discuss →Service / treatment / package pricing analyzed across locations. Demand elasticity, frequency, margin. Recommends specific price changes with projected revenue impact. Pays for itself in the first cycle.
Discuss →Tool-augmented AI assistant on your real operational data. "What was Tuesday's revenue at Henderson?" answered in seconds. Best after Operations Cockpit is in place — almost never the first build.
See full details →No two operators take the same path, but most multi-location clients move through a recognizable progression. The single engineer through the engagement makes the upgrades cleaner — same infrastructure, same person, scope expansion instead of vendor swaps.
Voice agent, multi-channel automation, RAG knowledge base, real-time dashboard, HIPAA posture (where applicable). Deployed in 2–3 weeks. First operational impact visible within 30 days.
Pro or Growth Stack at the rest of the locations. Standard playbook now that the flagship has proven the operational model. 1–2 weeks per location.
Group-level dashboard wired to all locations' data. Daily AI summary in the owner's inbox. Anomaly flags. Mobile-responsive. The first Custom Tier build for most clients in this vertical.
Churn prediction (subscription verticals), pricing optimization (service-catalog-heavy), or knowledge agent (multi-location consistency). Each pays for itself in the first cycle.
A 30-minute discovery call sorts out which stack fits your locations, whether group-level engineering should come now or later, and what the first 90 days would look like.