PriorCut, Salons and personal services
Booking and shop management in one platform for salons
Booking software that supports the customer experience and the shop operations around it.
Built for: A barbershop and salon booking and management platform.
- core records in one platform
- 5
- core records in one platform
- apps: manager and customer
- 2
- apps: manager and customer
- real-time updates
- Live
- real-time updates
First agent live in one week. A short call. Your first agent, a fixed quote, and the timeline. No obligation.
Sound familiar?
- “Bookings come in, but staff, services, and customer records live elsewhere.”
- “Managers need controls customers should never see.”
- “Reminders and follow-ups depend on someone remembering to send them.”
How the system works.
- Step 1
Customer booking app
Customers choose the shop, service, and staff member and book the appointment.
- Step 2
Shop and management apps
Separate interfaces for staff, managers, and administrators handle shops, services, schedules, and customer records.
- Step 3
Service-based backend
Shop configuration, appointments, and communications run as separate services connected through NATS messaging.
- Step 4
Real-time updates
Socket.IO keeps manager views current as bookings change.
- Step 5
Automated communication and exports
Scheduled email tasks handle messages outside the booking flow, and CSV exports support reporting.
What changed.
- Booking, staff, services, customers, and communication in one connected platform.
- Role-specific apps for customers, staff, managers, and administrators.
- Real-time manager views and scheduled communication after every booking.
The full stack.
Frontend
- React applications
Backend
- Node.js
- Express
- NATS
- Socket.IO
- Scheduled email tasks
Data
- MongoDB
- Mongoose
- PostgreSQL
- TypeORM
Integrations
- JWT
- Passport
- CSV exports
- AWS
This fits you if...
- Your booking tool stops at the reservation and the rest happens elsewhere.
- Staff and managers need their own views of the same appointments.
- You run multiple locations or services from one operation.
Start with a free Agent Audit. First agent live in one week
We build AI ERP & Operations Portal systems like this.
One operations system for orders, jobs, stock, and billing, with AI that flags problems before they cost you.
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Project overview
Booking software for the shop as well as the customer
Services: AI ERP & CRM ; AI Workflow Automation
Delivery: Barbershop and salon booking and management platform.
The Problem
A customer books a service, but the shop must coordinate the staff member, service details, appointment record, and follow-up communication.
The same platform also needs different interfaces for customers, staff, managers, and administrators. A shared booking calendar does not cover all those responsibilities.
What We Delivered
PriorCut's application structure covers shops, services, customers, staff, appointments, communications, and management.
The backend separates operational services and includes NATS messaging. Manager-side infrastructure includes real-time communication through Socket.IO, database access, authentication, and CSV export tooling. Scheduled email tasks handle work outside an interactive request.
The project contains multiple application generations. The detailed feature list for publication should correspond to the deployed version selected for the screenshots.
Engineering Decisions
Separate operational responsibilities. Shop configuration, appointment work, and communication have distinct service boundaries.
Support role-specific interfaces. Managers need operational controls that do not belong in the customer booking flow.
Use messaging for connected services. NATS is present in the backend architecture, with Socket.IO supporting real-time application communication.
Include the work after booking. Customer records and communication remain part of the product rather than ending the workflow at the reservation screen.
Results
The delivered product covers the booking experience and the operational services around it. Its engineering scope includes customer and management applications, backend services, and communication infrastructure.
Earlier marketing material claimed improved booking efficiency and predictive AI features. The reviewed sources do not substantiate those metrics or models, so they are not used as results here.
Technology stack
React applications; Node.js and Express services; NATS; Socket.IO; MongoDB/Mongoose and PostgreSQL/TypeORM integrations across services; JWT, Passport, scheduled email tasks, CSV exports, AWS integration.
Example value calculation
Hypothetical planning example, not a measured project result or a performance forecast. All volumes and timings below are assumed.
Record the customer, service, staff member, and appointment details.
- Workload: 200 eligible appointment bookings per month.
- Manual handling: 3 minutes per item.
- Assisted handling, including human review: 1 minutes per item.
- Additional exception handling: 60 minutes in the same period.
- Modeled difference: 200 x (3 - 1) - 60 = 340 minutes (5 hours 40 minutes) per month.
The example reserves another 60 minutes per month for booking changes and exceptions. It does not assume lower no-shows or higher shop revenue. This is potential staff capacity, not cash savings; setup, training, and software costs are excluded.
How to validate: Compare staff handling time for the same booking types and include rescheduling, cancellations, and correction work. Confirm the deployed version before testing.
Related case studies.
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