UniSalon Case Study

UniSalon is a premium scheduling SaaS platform built to help beauty salons manage seat bookings, employee shift rotations, and automated client SMS alerts from a unified dashboard.

The Bottleneck: Traditional salon scheduling was slow and relied on physical logbooks. This caused booking errors, double-booked slots, and a 22% bounce rate during online client reservation attempts.

Target Audits: We audited three competitor scheduling tools, identifying that clients prefer a visual timeline of available employees. Salon admins need single-click scheduling interfaces to prevent click-fatigue.

Wireframing & Prototypes: We designed a layout containing a real-time responsive grid showing columns for active stylists, calendar intervals, and client slots.

Visual Design: Using a dark tech design aesthetic, we implemented frosted glass panels, glowing blue indicator lights for filled slots, and Outfit typography headings to maintain visual branding.

Engineering Logic: Built as a Next.js 15 App router platform with TypeScript. The backend uses Firebase Firestore listeners to update stylist timetables in real-time without manual window reloads.

Core Engineering Challenge: Synchronizing high-frequency bookings across simultaneous clients to prevent double-booking stylist slots. Resolved by writing database transaction functions that lock booking slots during checkout execution.