PriorCut

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.

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.

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.

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.

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.

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.

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.

Appointments connected to the shop's working records.
PriorCut brings customer booking together with shop, service, staff, and management workflows, supported by backend services, messaging, and real-time communication.

We built the customer booking experience and the shop-management side of PriorCut. The backend covers the operational records and communication needed around the appointment.