Three detailing shops, one booking engine

Detailing prices depend on the car, the package and the extras, and most jobs used to start with a phone call. Customers now pick the service and add-ons themselves, larger jobs get a quote that moves itself through the pipeline, and every finished booking leads to a review request. The same building blocks are used at all three locations.

• Bookings run through GoHighLevel's Services module instead of meeting calendars: 7 categories, 23 services.
• Each service has a price range and a duration range, for example a Maintenance Wash combo at $150–$225 or a Ceramic Steam Detail combo at $695–$845 over 5 to 6.5 hours.
• 35 add-ons, each scoped to the services it applies to: extra labor in 15/30/60-minute blocks, extra vehicles, a bio-shield coating, a child-seat steam clean, a biohazard fee, concierge pickup and undercarriage coating.
• A Service booking trigger tags every booking, which feeds the review workflow and segmentation.

• A Cars custom object keyed on License Plate Number, marked unique so the same car cannot be added twice.
• Year, Make, Brand, Model and Color fields are kept in a Car Info folder.
• The association is Owner (1) ↔ Car (many) with Contacts. One customer can have any number of linked vehicles, and each has its own details and history.
• A 2nd Vehicle Offer funnel turns that into revenue by offering a discount on the next car.

• Step 1: the dry-steam request form creates an opportunity at Quote Requested, alerts the team and texts the customer that an estimate is on its way.
• Step 2: an Estimate Status = Accepted trigger from GHL Estimates moves the deal to Estimate Approved and notifies the team.
• An Invoices pipeline (Drafted → Sent → Awaiting Payment → Overdue) and invoice-reminder templates handle payment follow-up.

• The Client Outreach form creates an opportunity, updates and tags the contact, and moves the deal to Follow-Up Pending.
• After a wait, a condition reads Preferred Contact Method and creates the right task: call, email or visit.
• The pipeline runs Lead Captured → Follow-Up Pending → In Progress → Presentation Requested → Appointment Booked, with Nurture and Lost exits.

• Review Request (24 h delay): when a service booking is confirmed, the workflow waits, then sends an email and an SMS to a branded feedback page.
• Feedback is collected first, and a "How could we improve?" form gives unhappy customers a private channel.
• The same workflow runs at both active locations.

• Each program has its own folder with the same pattern: sign-up form → tag → community group invite → follow-up email.
• Programs: a Discount Club, a Signature subscription, and employee plans for three partner organizations, each with its own landing page.
• Coupon guard: when a partner code is redeemed, the workflow checks the partner-portal tag. Members go through. Anyone else has the appointment cancelled automatically, and the team and the customer are told why.

• "Misty" is a custom Voice AI agent on GPT-4.1. It answers questions, qualifies requests and books detailing, paint correction and ceramic coating.
• Scripted flow: confirm a known caller, find out the purpose of the call, then either gather name, best number and service type or answer the question and offer a booking.
• Guardrails for voice: one question at a time, phone numbers read digit by digit and confirmed, likely transcription mistakes fixed from context, and no made-up answers.
• Actions: call transfer, appointment booking and end call. After the call it writes First Name, Last Name and Email back to the contact.
• For now a missed-call text-back covers the gap. The agent is built and ready to go on a phone number.

Booking tags and review requests carry most of the volume. The quote and outreach pipelines handle fewer, higher-value jobs. The third location has a 5-step guided booking funnel (Select Service → Car Size → Focus & Upsell → Calendar → Thank You) built from chained forms, so the price matches the vehicle before a time is chosen.