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Salon booking assistant

Calls answered while every stylist is busy.

When every stylist is with a client, the phone goes unanswered. An assistant working from your own menu and booking system answers the usual questions, books and moves appointments, and passes anything unusual to your front desk.

// what matters here

What is different in this industry.

01

Why a frontier model here

Service menus are public and the volume is moderate, so a frontier model through its API is the quickest start. Card details never enter the chat.

02

Your menu, not the internet

Answers come from your services and prices, so the assistant never invents a treatment.

03

Bookings through your system

Appointments are booked and moved in your booking system, with deposits taken on your payment page.

04

The front desk stays in charge

Anything unusual goes to a person with the conversation attached.

// example projects

Priced examples for this service.

Each one is hypothetical, labelled as such, and priced live from our rate card. Open any of them in the estimator and make it yours.

Example projectWeb appAIFrontier model

Booking assistant

Hypothetical. Not a client, not a result.

// The problem

A busy salon misses calls while every stylist is with a client, and the questions are always the same: is there time today, how much is a colour, can I move my appointment.

// What we would build

An assistant on the website, chat and text that answers from the salon's own service menu and prices, books and moves appointments through the booking system, and hands anything unusual to the front desk. It uses a frontier model through its API: the service menu is public and the volume is moderate.

// What is in it

  • Answers from your service menu and prices
  • Bookings and changes through your booking system
  • Deposits taken by your payment page, never in chat
  • Replies in the client's language
  • Handoff to the front desk with the conversation

// Stack

  • Frontier model API
  • Next.js
  • PostgreSQL with pgvector
  • Booking system interface
  • DigitalOcean

// estimate

Build
≈ US$96,300 to US$147,000, delivered within 21 weeksCAD 137,100 to 209,600
Hosting
≈ US$558 a monthCAD 795 a month
Support
≈ US$2,500 a monthCAD 3,565 a month

Prices in your currency are estimates from today's Bank of Canada rate. All invoicing is in CAD or USD.

AI route
Frontier model
Model running cost
≈ US$383 a monthCAD 545 a month

Timeline by milestone

Discovery
2.9 to 3.4 weeks
Specification and evaluation plan
0.4 weeks
Design approved
2.4 to 3.4 weeks
Core features
1.4 to 1.9 weeks
Full build
0.9 to 1.4 weeks
Working pilot
3.9 to 6.4 weeks
Testing and fixes
0.9 to 1.9 weeks
Launch
0.9 to 1.4 weeks
Production
0.9 to 1.4 weeks

Outside our hands, and added to the calendar

Interface access from your point of sale or booking vendor
1 to 4 weeks

How it is paid

Deposit 20%
CAD 27,420 to 41,920
Discovery 2%
CAD 2,742 to 4,192
Specification and evaluation plan 10.2%
CAD 13,984.20 to 21,379.20
Design approved 2%
CAD 2,742 to 4,192
Core features 6.2%
CAD 8,500.20 to 12,995.20
Full build 4.1%
CAD 5,621.10 to 8,593.60
Working pilot 30.7%
CAD 42,089.70 to 64,347.20
Testing and fixes 2%
CAD 2,742 to 4,192
Launch 2%
CAD 2,742 to 4,192
Production 10.8%
CAD 14,806.80 to 22,636.80
Holdback, 30 days after launch (10%)
CAD 13,710 to 20,960

// questions

Questions we get about this.

Can the salon assistant reply by text message?

Yes. It can answer on your website, in chat and by text, from one service menu.

Does the salon assistant give skin or hair advice?

No. It answers about services, prices and bookings, and passes anything else to your team.

Could the salon assistant run on an open-source model?

Yes, in your own cloud account. It costs more to run at this volume; we price both.

// next

Not quite your project?

Tell us what you have in mind. We will come back to you with a range and the questions that would narrow it. Or book a call and talk it through.

AI booking assistant for hair salons and spas | Atheron Network Labs