
"All of the sprints were completed on schedule and on budget. We highly recommend RaftLabs!"
Charles E.
Entrepreneur at Aggie Technologies
Hair Salon Booking System
A salon or barbershop running on phone bookings and DMs has two problems: every booking call is five minutes of front desk attention that could have been self-serve, and a client who booked by DM two weeks ago has no friction preventing a no-show. The solution is enforcing a deposit or card pre-authorisation at the point of booking, sending a reminder sequence that keeps the appointment top of mind, and giving the stylist the client's history before they sit down.
Online booking with stylist and service selection
Deposit and card pre-authorisation at booking
Automated reminder sequence to cut no-shows
Client history with preferences, formulas, and notes
Bring the problem, the current workflow, or the existing code. We reply with a practical next step within one business day.
Trusted by
The brief
Good software decisions begin with the constraint, not a list of features or a preferred technology.
Booking managed by phone and Instagram DM, front desk spending the morning on calls?
No-shows and last-minute cancellations quietly eating a fully-booked week, with no deposit or card-hold to back the calendar?
Plain answer
RaftLabs builds a custom hair salon booking system for salons and barbershops: online self-booking by stylist and service, a deposit or card-hold at booking to cut no-shows, client records with colour formulas and treatment notes, stylist calendars with buffer time, and point of sale with commission tracking.
What to remember
Proof
A salon or barbershop running on phone bookings and Instagram DMs carries two hidden costs. Every call to the front desk is five minutes that self-service would have saved. And a client who reserved a slot by DM two weeks ago has nothing on the line if they skip it.
Deposits and card holds change that. No-shows stay high wherever skipping an appointment costs the client nothing, which is why card-on-file at booking is now a default on the major salon platforms like Fresha and Square Appointments. A custom build lets you set that policy on your own terms: which services need a deposit, how large it is, and what happens on a late cancellation. Add a reminder sequence that keeps the appointment top of mind, and give each stylist the client's history before they sit down.
Capabilities
Service and stylist selection with real-time availability, bookable from the website, Instagram, and Facebook profile links. Redis-backed slot locking prevents double-booking during checkout, and a new-client intake form captures sensitivity and preference data before the first visit.
Individual calendars with configurable buffer time and blocked periods for lunch, training, and meetings. Substitute assignment for unexpected absences notifies clients automatically, and commission calculates per completed service at each stylist's configured rate.
Deposit amount configurable by service risk, with card pre-authorisation held and captured only on a no-show or late cancellation. Automated 48-hour and 2-hour reminders include a confirm/reschedule/cancel link, with no-show tracking flagging repeat offenders for a higher deposit requirement.
Colour formulas, treatment notes, patch test records, and before/after photos attach to the client profile, visible to any stylist before and during the appointment. Allergy flags surface at booking and on the appointment card, and LTV tracking identifies high-value clients at risk of lapsing.
Confirmation on booking, a 48-hour reminder, and a day-of reminder with directions, all configurable by service type. Rebooking prompts fire at the right interval, colour at 7-8 weeks, cuts at 5-6 weeks, with a direct link to the same stylist.
Retail sales and service billing in one transaction, with stylist commission tracking by category. End-of-day takings reports reconcile by payment method, prepaid package credits deduct automatically, and loyalty points earn and redeem at checkout without manual entry.
How we work
We map your service menu, stylist structure, and current no-show rate. You leave phase 1 with a written scope document and a fixed-price quote.
Deposit rules, cancellation policy, and client-record structure designed against your actual service mix, so the policies reflect how your salon really works.
Booking widget, stylist calendars, and payment integration built in parallel, then tested against real scenarios before anything goes live.
Live rollout with no-show rate tracked from day one, and thresholds tuned once real booking data arrives.
Proof
We scope the work, calculate the cost, and lock it in writing before any development starts.
We have built booking and POS-integrated platforms for hospitality and retail, including a keyless check-in booking system running in production. Real engagements across SaaS, fintech, healthcare, and logistics, not every one published as a named case study.
Custom software is justified by specific deposit, record, or multi-location requirements, not recommended by default.
Colour formulas and treatment notes are structured data, not paper files tied to one stylist's memory.
What clients say
Three-year average engagement. Founders and operators describing the work in their own words. No marketing varnish.

"All of the sprints were completed on schedule and on budget. We highly recommend RaftLabs!"
Charles E.
Entrepreneur at Aggie Technologies
Proof

Draftly combines AI post drafting, real-time document collaboration, and a scheduling queue so professionals can publish 3x more often without spending more time writing.

A B2B loyalty program for installers who buy Instantor products through Irish builders' merchants: receipt-based points, four tiers, competitions, and per-channel consent. Live in about 15 weeks, run from 2021 to 2024.
Work with us
Tell us your stylist count, locations, and the specific operational challenge you're trying to solve, no-shows, client records, or deposit enforcement. We'll tell you what we'd build and how.
Fresha and Treatwell handle core appointment booking well for most single-location salons. Custom software makes sense when your deposit policy enforcement needs to be stricter than the platform's built-in options, when your colour and treatment client records need to be accessible to any stylist in a structured way, when you're operating multiple locations and need shared client records with centralised reporting, or when your loyalty programme mechanics go beyond what the platform's built-in tools support.
No-shows stay high wherever skipping an appointment costs the client nothing. A deposit set at 20-30% of the service value gives them a financial reason to show up or cancel in advance, which is why card-on-file at booking is now a default on the major salon platforms like Fresha and Square Appointments. A deposit turns the appointment into a transaction rather than an informal arrangement. Card pre-authorisation achieves the same result without upfront payment, by holding the card and charging only on a no-show.
Yes. Each stylist has their own service menu, pricing, and availability. A senior colourist can offer services that a junior stylist doesn't, at a higher price point, with longer appointment durations. The booking flow shows the client only the services available for their chosen stylist and the correct price for that stylist. Commission rates are also configured per stylist. Multi-stylist appointments, for example a cut with one stylist and a treatment with another in the same visit, are handled as linked appointments.
The split is how the bill grows, not core booking. Some platforms charge per bookable calendar, others per bookable team member, and marketplace bookings add a one-time fee on each new marketplace client. Platforms also lead in different regions. And the subscription is not the whole bill: online payments, add-ons like AI concierge and loyalty, implementation, integration setup, and data migration all stack. Compare the total, not the headline.
Marketplace bookings add a one-time fee on each new marketplace client, and the cut varies by platform. These are client-acquisition fees: the buyer question is whether the marketplace is bringing clients you would not otherwise get, or taxing clients who would have found you anyway. Direct booking keeps the full margin; the marketplace is a client-acquisition cost. Price it like one.
The fix is policy and reminder timing, not the platform: a two-reminder sequence at 24 hours and 2 hours, plus card-on-file with tiered deposits, beats an expensive platform with generous defaults. Deposits give clients a financial reason to show up or cancel in advance. And measure rebooking: the percentage leaving with their next appointment booked. A client who rebooks at checkout is meaningfully more likely to return than one asked to call back later.
Ask about your employment model first: booth-rental and commission salons need different data architectures. Booth rental isolates client data and payments per contractor; commission centralizes revenue under one house account. Check the commission math: calculate on pre-tax subtotal, keep tips separate. Confirm the team layer: time tracking, tip and commission payroll, labor cost. The booking side is the easy part; the team-management layer is what buyers underweight. And verify multi-location fees: they multiply costs.
A first version covering online self-booking, stylist calendars, deposit enforcement, a reminder sequence, and client records launches first, so you can start taking bookings and validate the workflow before adding more. From there it grows: a full point of sale with commission tracking, retail inventory, loyalty, and multi-location support extend the build. Scope and fixed price are agreed in writing before development starts.
Go deeper