CutQueue vs Pronto

CutQueue is booking and management software for barbershops, aimed primarily at UK businesses while stating that it works globally. It covers appointments, walk-ins, manual bookings, closed periods, staff rotas, time off and next-up tracking. Clients can create accounts, verify email, manage bookings and return through a client portal. A tablet kiosk handles walk-ins and check-ins, with arrivals shown to staff. The service also supplies a booking website, booking button, booking and review QR codes, and printable shop posters. Payment and records tools include deposits, cash and card logging, VAT exports, payroll tracking and external payout records; CutQueue says it does not hold payroll money. Reporting includes stock, retail sales, reorders, expenses, tasks, notes and consultation records. Stripe can process deposits. Plans run from £10.00 per month to £49.00 per month, with a 7-day trial.

Pronto provides appointment booking, point of sale, client CRM, inventory tracking, and automated reminders for salons and related businesses. It is presented for beauty, hair, and nail salons, barbershops, spas, lash studios, and tattoo studios. Clients can book online using only a name and phone number, without an account or app download. The point of sale supports cash, card, and transfer, discounts, printed or digital receipts, and offline checkout. Booking confirmations and reminders can be sent through Email, Telegram, WhatsApp, and Viber. Businesses can link a booking page from Instagram or Google and import client lists from Fresha, Vagaro, Booksy, Mindbody, Square, or another platform that exports CSV. Cloud users can export client data and history; self-hosted data stays on the user's server. The free plan allows one staff member, 100 clients, 50 bookings per month, and 100 products. Starter costs $19 a month and includes five staff, unlimited clients and bookings, and 2,000 products. Pronto runs on the web and supports self-hosting on Linux, macOS, or Windows with WSL2; self-hosting uses Docker Compose and requires at least 1 GB RAM.