Azkkan Logo
AZKKAN.
/ TailorTech Case Study
Multi-Tenant SaaS Architecture

TailorTech — Multi-Tenant SaaS for Pakistan's Bespoke Tailoring Sector

Azkkan engineered TailorTech: a high-concurrency vertical SaaS platform empowering bespoke tailoring workshops across Lahore and nationwide with automated WhatsApp order notifications, digital measurement profiles, and localized PKR billing.

Industry: Vertical B2B SaaS / Retail Tech
Core Services: Custom Software, Cloud DevOps
Timeline: 10 Sprints (2.5 Months)
TailorTech multi-tenant tailoring SaaS dashboard with real-time WhatsApp order tracking in Lahore Pakistan
The Challenge

Fragmented Paper Registers & Constant Phone Inquiries

Custom tailoring shops in Pakistan rely heavily on paper registers, leading to lost customer measurement profiles, misplaced fabric tags, and relentless manual telephone calls from clients asking about delivery dates and trial readiness.

  • High error rates in manual measurement transcription.
  • Zero automated communication when suits are ready for trial.
  • Lack of localized multi-tenant billing models in Pakistani Rupees (PKR).
The Solution

Isolated Multi-Tenant SaaS with WhatsApp Automation

Azkkan architected a multi-tenant PostgreSQL schema providing each tailoring shop with dedicated tenant isolation, instant measurement profile search, and automated WhatsApp webhook messaging through the official WhatsApp Business Platform.

  • Instant WhatsApp order receipts, trial reminders, and pickup notifications.
  • Digital customer measurement locker with version history.
  • Role-Based Access Control (RBAC) separating cutters, tailors, and shop owners.
Technology Stack

Engineered for Concurrency & Reliability

Built following Azkkan's 5-stage engineering pipeline with strict TypeScript typing and containerized Kubernetes deployments on AWS.

Measurable Outcomes

Dramatic Efficiency Gains & Shop Growth

82%

Reduction in customer status phone calls

100%

Measurement transcript accuracy

Frequently Asked Questions: TailorTech Architecture

What technical problem did TailorTech solve for bespoke tailoring shops?

TailorTech eliminated paper registers and manual customer phone calls by automating order progress, trial dates, and pickup reminders directly over the WhatsApp Business Cloud API with 99.98% delivery reliability.

How does TailorTech isolate tenant data between different tailoring workshops?

The platform implements PostgreSQL Row-Level Security (RLS) policies and tenant-specific database connection pools, ensuring that no workshop can ever read or modify another tenant's customer records.

What was the measurable business outcome for shops using TailorTech?

TailorTech achieved an 82% drop in inbound status phone calls and 100% measurement transcription accuracy across hundreds of active tailoring workshops in Pakistan.

What tech stack powers the TailorTech SaaS architecture?

TailorTech is built with React 19, TypeScript, Node.js REST APIs, PostgreSQL with Row-Level Security, BullMQ Redis job queues, and AWS container infrastructure. Read our WhatsApp API integration guide for deep technical details.

Engineering Article

How We Built TailorTech: Deep Architecture Breakdown

Read the full technical case study article on multi-tenant database partitioning on our engineering blog.

Read Technical Breakdown →
← All Case Studies Next: SLMS School Learning Management System →