Case Studies

Our Featured Work & Projects

Discover how we solved complex engineering challenges for clients across healthcare, education, retail, and enterprise AI.

Education Software

Private School Networks — Pakistan & UAE 8 Months

EduSoft School ERP — 200+ Schools Deployment

Built and deployed a full-featured school management platform across 200+ institutions handling 80,000+ studen...

Laravel Vue.js MySQL Redis React Native +4

80,000+ Students Managed Across 200+ Schools

42% Reduction in Fee Defaulters

Client Private School Networks — Pakistan & UAE

Duration 8 Months

Tech Stack Laravel, Vue.js…

Status Production Live

Project Scope & Execution

The client network operates over 200 private schools across Pakistan and UAE, struggling with fragmented manual processes for fee collection, attendance, and parent communication. We architected and deployed EduSoft — a cloud-native School ERP built on Laravel, Vue.js, and MySQL with a React Native parent mobile app. The system integrates JazzCash and EasyPaisa payment gateways for online fee collection, ZKTeco biometric devices for automated attendance, WhatsApp Business API for instant parent notifications, and a custom LMS for e-learning content delivery. FBR-compliant fee receipts are generated automatically for every transaction. Within 6 months of deployment, fee defaulters dropped by 42%, administrative staff was reduced by 35%, and parent satisfaction scores reached 96%.

Technology Stack

Laravel Vue.js MySQL Redis React Native JazzCash API WhatsApp Business API ZKTeco SDK AWS S3

Measurable Impact & KPI Results

80,000+ Students Managed Across 200+ Schools

42% Reduction in Fee Defaulters

35% Administrative Cost Savings

96% Parent Satisfaction Rate

FBR-Compliant Receipts Auto-Generated

Video Walkthrough & Demo

Client Testimonial

"EduSoft transformed how we manage our school network. What used to take our staff hours of manual work now happens automatically. The WhatsApp notifications alone have transformed parent engagement."

Private School Networks — Pakistan & UAE

Tax & Compliance Software

Mega Retail Chain — Pakistan 3 Months

FBR TaxRay Integration — 500+ Retail Outlets

Implemented FBR SWAPS/TaxRay real-time invoice transmission system for a 500-outlet retail chain, achieving fu...

Node.js PostgreSQL RabbitMQ FBR SWAPS API Docker +3

500+ Outlets Integrated in 90 Days

45,000+ Daily Transactions Processed

Client Mega Retail Chain — Pakistan

Duration 3 Months

Tech Stack Node.js, PostgreSQL…

Status Production Live

Project Scope & Execution

A large Pakistani retail chain with 500+ outlets faced FBR Tier-1 compliance deadlines with potential multi-million rupee penalties for non-compliance. They needed full SWAPS/TaxRay integration within 90 days. We designed a centralized invoice processing microservice that intercepts every POS transaction, enriches it with GST calculations, generates QR-coded e-receipts, and transmits to FBR API within 1.8 seconds on average. The system handles 45,000+ transactions daily with 99.97% uptime. An offline queuing mechanism ensures zero invoice loss during internet outages, automatically syncing when connectivity resumes. The client achieved full FBR compliance 3 weeks ahead of the deadline.

Technology Stack

Node.js PostgreSQL RabbitMQ FBR SWAPS API Docker Nginx Redis Cache React Dashboard

Measurable Impact & KPI Results

500+ Outlets Integrated in 90 Days

45,000+ Daily Transactions Processed

99.97% Invoice Transmission Uptime

1.8 Second Average FBR API Response Time

Zero Penalties — Full FBR Tier-1 Compliance

Client Testimonial

"We were facing enormous pressure from FBR. The team delivered the complete integration in record time and now we run fully compliant across all 500 outlets without any manual intervention."

Mega Retail Chain — Pakistan

Healthcare & Hospital System

Punjab Healthcare Foundation — Lahore 6 Months

HospitalPro HMS — 300-Bed Multi-Specialty Hospital

Complete digital transformation of a 300-bed multi-specialty hospital with real-time bed tracking, lab integra...

Laravel Livewire MySQL HL7 FHIR NHIS API +4

Patient Wait Time: 45 min → 12 min

Billing Error Rate: 8% → 0.3%

Client Punjab Healthcare Foundation — Lahore

Duration 6 Months

Tech Stack Laravel, Livewire…

Status Production Live

Project Scope & Execution

Punjab Healthcare Foundation operates a 300-bed multi-specialty hospital that was running entirely on paper records. Patient information was lost between departments, billing errors were common, and the pharmacy frequently faced stockouts due to manual inventory tracking. We delivered HospitalPro HMS — a comprehensive Hospital Management System covering OPD, IPD, pharmacy, laboratory, radiology, and administration. Real-time bed occupancy dashboards gave management visibility they never had before. Doctor-to-pharmacy prescription routing eliminated dispensing errors. NHIS insurance integration automated claim submissions. Patient wait times dropped from an average of 45 minutes to 12 minutes. Billing error rates fell from 8% to under 0.3%. Pharmacy stockouts were eliminated entirely.

Technology Stack

Laravel Livewire MySQL HL7 FHIR NHIS API Vue.js Redis AWS RDS Pusher WebSockets

Measurable Impact & KPI Results

Patient Wait Time: 45 min → 12 min

Billing Error Rate: 8% → 0.3%

Zero Pharmacy Stockouts

100% NHIS Insurance Claims Automated

300-Bed Hospital — Full Digital Transformation

Client Testimonial

"HospitalPro gave us complete visibility into every corner of our hospital. We can now see bed availability, lab results, and billing status in real-time. It's completely transformed patient care quality."

Punjab Healthcare Foundation — Lahore

AI & Machine Learning

Telecom Operator — Confidential 5 Months

AI Predictive Analytics Platform — Telecom Churn Reduction

Built a machine learning churn prediction system for a major telecom operator, identifying at-risk customers 3...

Python XGBoost Apache Spark FastAPI PostgreSQL +4

Churn Rate: 3.1% → 1.6% (4 Months)

89% Prediction Accuracy

Client Telecom Operator — Confidential

Duration 5 Months

Tech Stack Python, XGBoost…

Status Production Live

Project Scope & Execution

A major Pakistani telecom operator was losing 3% of its subscriber base monthly to competitors. Traditional retention campaigns were broad and expensive. They needed to predict which customers were at risk before they churned. We built an end-to-end ML pipeline processing 8 million subscriber records: data ingestion from CRM and billing systems, feature engineering covering 140+ behavioral signals, an XGBoost churn prediction model trained on 18 months of historical data, and a real-time scoring API that flags at-risk customers daily. The retention team now receives a prioritized list of 50,000 at-risk customers every morning with predicted churn probability and recommended retention offers. Monthly churn rate dropped from 3.1% to 1.6% within 4 months.

Technology Stack

Python XGBoost Apache Spark FastAPI PostgreSQL Airflow Docker AWS SageMaker Tableau

Measurable Impact & KPI Results

Churn Rate: 3.1% → 1.6% (4 Months)

89% Prediction Accuracy

8 Million Subscribers Scored Daily

$2.8M Annual Revenue Protected

140+ Behavioral Features Analyzed

Client Testimonial

"The AI churn model is now central to our retention strategy. We've gone from spray-and-pray campaigns to laser-targeted interventions — and the results speak for themselves."

Telecom Operator — Confidential

Retail POS & Inventory

Al-Fatah Electronics & Stores — Pakistan 4 Months

RetailMax POS — 1,200 Outlet Superstore Chain

Deployed a cloud POS with FBR integration, real-time inventory sync, and JazzCash/EasyPaisa payments across 1,...

React Node.js MongoDB Redis FBR API +4

1,200 Outlets Migrated in 4 Months

Daily Reconciliation: 2 hours → 8 minutes

Client Al-Fatah Electronics & Stores — Pakistan

Duration 4 Months

Tech Stack React, Node.js…

Status Production Live

Project Scope & Execution

Al-Fatah needed to replace 1,200 legacy POS terminals across Pakistan with a modern cloud solution that could handle FBR SWAPS compliance, digital payments, and real-time inventory visibility across all outlets simultaneously. We deployed RetailMax — a cloud-native POS system with offline-first architecture. Each terminal operates independently during internet outages and syncs data automatically when connectivity resumes. JazzCash and EasyPaisa integrations handle 60% of all transactions. FBR e-receipts transmit automatically. The centralized inventory dashboard now shows stock levels across all 1,200 outlets in real-time. Daily cash reconciliation that previously took branch managers 2 hours now completes in 8 minutes.

Technology Stack

React Node.js MongoDB Redis FBR API JazzCash SDK EasyPaisa API Electron.js AWS CloudFront

Measurable Impact & KPI Results

1,200 Outlets Migrated in 4 Months

Daily Reconciliation: 2 hours → 8 minutes

60% of Sales via Digital Payments

30% Reduction in Inventory Shrinkage

100% FBR SWAPS Compliance

Client Testimonial

"The migration was seamless. Within 3 weeks our entire network was running on RetailMax and our FBR compliance headaches disappeared completely. The real-time inventory view alone was worth the investment."

Al-Fatah Electronics & Stores — Pakistan

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Updated Test Product

CareFlow Hospital ERP

UKM-Mali

Apex Cloud AI Engine

EduSoft School Management System

FBR Digital Invoicing & Tax System

Our Featured Work & Projects

EduSoft School ERP — 200+ Schools Deployment

FBR TaxRay Integration — 500+ Retail Outlets

HospitalPro HMS — 300-Bed Multi-Specialty Hospital

AI Predictive Analytics Platform — Telecom Churn Reduction

RetailMax POS — 1,200 Outlet Superstore Chain

Have a complex engineering challenge?

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