Project Case Study
WhatsApp AI booking agent: Amalia
AI-powered WhatsApp appointment booking platform enabling automated treatment scheduling directly through WhatsApp for beauty studios and Treatwell.
See it first
AI-powered WhatsApp appointment booking platform enabling automated treatment scheduling directly through WhatsApp for beauty studios and Treatwell.
Problem
Beauty studios wanted clients to book treatments over WhatsApp without losing staff time to back-and-forth chat and calendar juggling.
Solution
Built an AI-powered booking agent on MERN + AWS that uses WhatsApp Business, OpenAI, Socket.io, and a PWA shell, with Treatwell-oriented scheduling flows.
Outcome
Amalia lets studios automate appointment scheduling in WhatsApp — a production AI agent that books treatments instead of only answering FAQs.
Implementation snapshot
What this case study includes
- Project type
- WhatsApp appointment-booking AI agent for beauty studios
- Best fit
- Studios that need clients to schedule treatments inside WhatsApp
- Primary outcome
- Routine booking conversations move from manual staff replies to an AI-assisted flow
Delivered scope
- WhatsApp Business conversation flow for treatment booking requests
- OpenAI-powered booking assistant that handles scheduling intent
- Treatwell-oriented appointment scheduling workflow
- Realtime status updates with Socket.io for booking operations
- PWA shell for staff and operational access
- AWS-hosted MERN TypeScript application architecture
Stack
Case Study FAQ
Quick answers about the Amalia project
What problem did Amalia solve?
Beauty studios wanted clients to book treatments over WhatsApp without losing staff time to back-and-forth chat and calendar juggling.
Who is Amalia the best fit for?
Beauty studios wanted clients to book treatments over WhatsApp without losing staff time to back-and-forth chat and calendar juggling.
What did Ahmer build for Amalia?
Built an AI-powered booking agent on MERN + AWS that uses WhatsApp Business, OpenAI, Socket.io, and a PWA shell, with Treatwell-oriented scheduling flows.
What stack was used for Amalia?
Amalia used MERN (TypeScript), AWS, WhatsApp Business API, OpenAI, Socket.io, PWA.
What was the outcome of the Amalia project?
Amalia lets studios automate appointment scheduling in WhatsApp — a production AI agent that books treatments instead of only answering FAQs.
Recognize this problem in your business?
Share the closest case study and the outcome you need. Ahmer can scope a first milestone that saves time — whether that is an AI agent, booking flow, inventory system, or ops dashboard.
More case studies
- School Management System
Schools get an installable offline register covering attendance, students, staff, subjects, results, and reports from Katchi through Class 10, with backups they control and no cloud dependency for daily marking.
- Shop Floor Management System
For fabrication shops losing pieces between cut and dispatch
- MyChauffeur
For chauffeur teams drowning in shifts, expenses, and monthly revenue sheets