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WebsiteTeam Lead — I built it, with my team working under my supervision2024 – Present

Makely

A booking platform for US spa and wellness businesses. A business registers its Google Business Profile and Makely gives it a booking-ready website plus a dashboard to run it from — appointments, clients and resource scheduling, with an AI layer handling the back-office work.

Project Role
Team Lead — I built it, with my team working under my supervision
Client / Market
US spa & wellness business — delivered at Bixosoft
Timeline
2024 – Present
Primary Stack
Next JS, React JS
🔒https://demo.muhammadtahir.dev/projects/makely
Screen 1 of 4
Makely screenshot 1
01 · The Challenge

What Problem Did This Project Solve?

A spa booking is four things being reserved at once, not one.

  • A booking requires a service, a therapist and a treatment room to all be free in the same slot — availability is a multi-resource problem, not a calendar lookup.
  • Most small spa businesses have a Google Business Profile and no booking-capable website, so they lose every enquiry that arrives outside opening hours.
  • Each business has its own services, durations, staff, rooms and opening hours, so the platform has to be multi-tenant without becoming a custom build per client.
  • Owners are not technical; the dashboard has to be operable by whoever is on the desk, not by a developer.
  • The routine back-office work — reading enquiries, pulling up client history, replying to the same questions — eats the day of a small team.
02 · The Solution

What Solution Was Delivered?

Multi-tenant booking sites over a resource-aware scheduler, with AI absorbing the busywork.

  • Registration through Google Business Profile, so a business is onboarded from data it already maintains.
  • A generated booking-ready website per business, backed by a dashboard the owner runs it from.
  • A resource-aware scheduler that checks service, staff and room availability together before offering a slot.
  • Client records and appointment history kept alongside the booking calendar rather than in a separate system.
  • An AI layer that processes incoming requests, prepares client summaries for staff and drafts routine replies.
  • Twenty-four-hour self-service booking, so enquiries arriving after closing time still convert.
  • Built on a foundation designed to extend to salons, clinics and studios — any appointment business with the same multi-resource problem.
Capabilities & Architecture

What Can This Project Do?

📅
Scheduling

Resource-Aware Scheduling

Service, therapist and treatment room availability checked together before a slot is ever offered.

🌐
Multi-Tenant

Booking-Ready Websites

Each registered business gets its own site that takes bookings, generated from its profile.

🔗
Integration

Google Business Profile Onboarding

Businesses register through the profile they already maintain rather than filling in another form.

🕒
Conversion

24/7 Self-Service Booking

Clients book at any hour, so enquiries arriving after closing time still convert.

🤖
AI Automation

AI Back-Office Layer

Incoming requests processed, client summaries prepared for staff and routine responses drafted automatically.

📋
Operations

Owner Dashboard

Services, staff, rooms, hours, clients and appointments managed from one screen by non-technical staff.

24/7
Self-service booking
Bookings taken outside opening hours
3-in-1
Platform scope
Bookings, client management and resource scheduling
AI
Back-office layer
Request processing, client summaries and drafted replies
Team Lead
My role
I built it, with my team working under my supervision
Tooling & Ecosystem

Built With Modern Engineering Standards

Next JSReact JSNode JSMongoDBJavascript
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