Salon Booking System

Salon Booking System
Developing a Salon at Home Booking System involves creating a tripartite ecosystem: one for the Customer, one for the Service Provider (Stylist), and an Admin Panel to oversee operations.
Below is a comprehensive task description and project roadmap for building this system.
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1. Project Overview
The goal is to develop a mobile-first/website platform that allows users to book professional beauty and wellness services (haircuts, facials, massages, etc.) to be delivered at their doorstep. The system must handle real-time scheduling, GPS-based location tracking, and secure payment processing.
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2. Core Feature Requirements
A. Customer App
• User Onboarding: Social login (Google/Apple) and OTP-based mobile verification.
• Service Catalog: Browsing services by category (Hair, Nails, Skin) with transparent pricing and time estimates.
• Smart Search & Filters: Filter by price, rating, or specific stylist gender.
• Booking Engine: Real-time calendar to select date and time slots.
• Location Services: Integration with Google Maps/Apple Maps to set the service address.
• Payment Gateway: Integration for Credit/Debit cards, Digital Wallets, and "Pay After Service."
B. Provider (Stylist) App
• Profile Management: Portfolio upload (images of previous work), certifications, and bio.
• Availability Toggle: A "Go Online/Offline" switch to accept or reject real-time leads.
• Navigation: In-app GPS routing to the customer’s location.
• Earnings Dashboard: Daily/weekly breakdown of earnings and tips.
C. Admin Panel (Web)
• User/Provider Management: Approval and verification of stylists (KYC).
• Dynamic Pricing: Ability to set surge pricing or promotional discounts.
• Analytics: Heatmaps of high-demand areas and service performance reports.
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3. Technical Architecture
To ensure the app is scalable and responsive, the following stack is recommended:
Component Technology
Frontend Flutter or React Native (Cross-platform iOS/Android)
Backend Node.js (Express) or Python (Django/FastAPI)
Database PostgreSQL (Relational) or MongoDB (Non-relational)
Cloud/Hosting AWS or Google Cloud Platform
Real-time Engine Socket.io (for chat/live tracking)
Notifications Firebase Cloud Messaging (FCM)





Database
Entity-Relationship Overview
The database needs to handle the complex "many-to-many" relationship between customers, services, and stylists.
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1. Core Data Tables
A. Users & Profiles
This table handles authentication and basic details for both Customers and Stylists (distinguished by a role field).
• user_id (Primary Key)
• full_name, email, phone_number
• role (Enum: 'customer', 'stylist', 'admin')
• average_rating (Decimal)
B. Services
A catalog of what the salon offers.
• service_id (Primary Key)
• name (e.g., "Bridal Makeup")
• description
• base_price
• duration_minutes (Important for calendar blocking)
C. Stylist Details
Stores professional info specific to service providers.
• stylist_id (FK to Users)
• is_verified (Boolean)
• bio, portfolio_urls
• current_lat, current_long (For real-time location)
D. Appointments (The Junction Table)
This links everything together and tracks the status of a booking.
• appointment_id (Primary Key)
• customer_id (FK to Users)
• stylist_id (FK to Users)
• service_id (FK to Services)
• status (Enum: 'pending', 'confirmed', 'in-progress', 'completed', 'cancelled')
• scheduled_at (Timestamp)
• total_price
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2. Key Relationships to Implement
1. One-to-Many: One Customer can have many Appointments.
2. Many-to-Many: Stylists can perform many Services, and Services can be performed by many Stylists (requires a stylist_services bridge table).
3. One-to-One: Each Appointment has one Payment transaction record.
Phases
To ensure a seamless experience, the workflow for a Salon at Home Booking App must handle the "logic gap" between a user’s request and a professional's arrival.
Here is the step-by-step operational flow for the three main actors: The Customer, The Stylist, and The System.
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1. The Booking Phase (Customer Journey)
This is where the user discovers services and commits to a time slot.
1. Discovery: User browses categories (Hair, Nails, Massage) and selects a specific service.
2. Cart & Customization: User selects add-ons (e.g., "Add Hair Wash" to a "Haircut") and sees the updated total duration and price.
3. Address Selection: User selects a saved address or pins a new location.
4. Stylist Matching: * Option A: User picks a preferred stylist based on ratings/portfolio.
o Option B: System broadcasts the request to all nearby available stylists (Uber-style).
5. Payment Authorization: A "hold" is placed on the user’s card or the user selects Cash on Delivery.
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2. The Fulfillment Phase (Stylist & System)
This phase manages the logistics of the appointment.
Step Action Logic/System Trigger
Acceptance Stylist receives a push notification and accepts. Status changes from Pending to Confirmed.
Preparation 2 hours before, the system sends a reminder to both parties. Triggered by a background Cron Job.
Transit Stylist taps "Start Journey" in the app. Customer can now track the stylist's GPS location.
Arrival Stylist taps "Arrived." System prompts the Customer for a Security PIN to verify identity.

3. The Execution & Closing Phase
Ensuring the service is delivered and recorded correctly.
1. Service Start: After PIN verification, the "Timer" starts in the app. This is crucial for services billed by the hour.
2. Service Completion: Stylist taps "Finish Service." They can take a photo of the completed work (for the portfolio/dispute resolution).
3. Final Billing: If additional services were added on-site, the Stylist updates the invoice, and the Customer approves it via their app.
4. Feedback Loop: * Customer rates the stylist and adds a tip.
o Stylist rates the customer (to flag safety or conduct issues).
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4. The Administrative "Behind the Scenes"
While the user sees a simple UI, the Admin Panel is managing these background workflows:
• Payout Logic: At the end of the day/week, the system calculates Total Bookings - Platform Commission = Stylist Payout.
• Cancellation Handling: If a user cancels within 30 minutes of the appointment, the workflow triggers a "Cancellation Fee" logic to compensate the stylist for their travel time.
• Inventory Alerts: If a stylist reports they are out of certain products (e.g., a specific hair dye), the admin can toggle that service "Unavailable" for that specific stylist.
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5. Exception Workflows (The "What-Ifs")
• The No-Show: If the stylist isn't at the location within 15 minutes of the start time, the app triggers an automatic "Call Stylist" prompt and notifies Support.
• Rescheduling: Users can reschedule up to 4 hours before. If it’s later than that, the workflow may require a small fee to cover the stylist's blocked calendar. Show More