Beauty · Salon Management2025 - 2026SaaS Platform

Pretty & Primped

An end-to-end salon management platform that turns a manual, paper-and-WhatsApp salon operation into a connected digital business - covering 24/7 online booking, automated reminders, digital payments, staff scheduling, dynamic consultation forms, and a loyalty program. Built for independent salon owners who want professional-grade tooling without enterprise complexity.

Client
Pretty & Primped
Industry
Beauty
Services
Product · Engineering · Design
Outcome
24/7 online booking · automated WhatsApp reminders · single platform for admin, staff & customer
Pretty & Primped - hero image

Project overview

Pretty & Primped is a full-stack salon management platform designed for independent salon owners who are still running their business on paper diaries, WhatsApp chats, and cash. The product brings together three coordinated surfaces - an owner admin panel, a customer booking portal, and a staff operations app - so every part of the salon (services, bookings, payments, consultation forms, loyalty, reporting) lives in one system rather than scattered across five.

The challenge

Most local salons lose money in places they cannot see: no-shows from forgotten appointments, double bookings from manual scheduling, lost consultation history when paper forms go missing, and inconsistent customer retention that depends entirely on the owner's memory. Owners juggle service catalogues, walk-ins, staff coordination, payments, and follow-ups across disconnected channels - with no real visibility into revenue, popular services, or staff performance. The goal was a system that could be adopted by a small team without an IT department, but still hold up as the business grows.

Discovery & strategy

We mapped a salon owner's full day - front desk, chair, back office - and identified exactly where revenue silently leaks: missed reminders, scheduling conflicts, ad-hoc discounting, untracked walk-ins, and inconsistent service notes. Three role-based surfaces were scoped so each user (owner, staff, customer) gets the minimum interface they need without context-switching, and so the same data model powers all of them.

Design process

A minimal, slick interface optimised for low-friction daily operation. The admin panel emphasises density and quick actions for owners running the business between appointments. The customer portal is mobile-first with a three-tap booking flow - service → staff → slot - and instant Razorpay payment. The staff portal stays deliberately out of the way: technicians can check customers in, update service status, and view consultation responses with one hand on a phone.

Development execution

Built on a modular Next.js + NestJS stack with PostgreSQL for relational booking, customer, and payment data, and Redis for session and real-time availability caching. Razorpay handles payments end-to-end (UPI, cards, net banking) with PCI-DSS-compliant flows. WhatsApp Business automation drives every transactional touchpoint - booking confirmations, 24-hour reminders, payment receipts, post-service thank-yous, and review requests - so customers stay engaged without any manual effort from staff. A dynamic consultation form engine lets owners build per-service intake forms (text, dropdown, checkbox, file upload) without writing code. Hosted on AWS with EC2, RDS, ElastiCache, S3, and CloudFront so the platform scales as a salon adds chairs, staff, or new branches.

Technology stack

Next.js
NestJS
TypeScript
PostgreSQL
Redis
Razorpay
WhatsApp Business
AWS · CloudFront
Vercel

Outcomes

24/7
Online booking availability
Automated
WhatsApp reminders & follow-ups
3 surfaces
Unified admin, staff & customer experience
Loyalty built-in
Points-based retention from day one

Project gallery

Dashboard - primary view
Product - secondary view
Product - marketing view
- LET'S TALK

Let's build something exceptional.

Tell us about the product you're building. Discovery calls are short, sharp, and free. You'll meet a senior engineer or designer - never a sales rep.

RESPONSE TIME
< 24 hrs