Case Studies

Real results from real projects. See how AI-powered solutions transform businesses across industries.

Retail

Predictive Analytics Dashboard for Retail Chain

22% Revenue Increase

Background

A retail chain with 12 locations struggled with overstocking and understocking issues, leading to significant revenue loss and waste.

Solution

We built a predictive analytics platform that analyzes historical sales data, seasonal trends, and external factors to generate accurate demand forecasts.

Results

Inventory waste reduced by 40%, stockout incidents decreased by 55%, and overall revenue increased by 22% within the first quarter of deployment.

scikit-learnPyTorchNext.jsPostgreSQL
Education

Computer Vision Attendance System for University

95% Accuracy

Background

A university with 5,000+ students needed an automated, contactless attendance system to replace manual sign-in sheets and reduce proxy attendance.

Solution

We developed a real-time face recognition system using custom-trained models, with a web dashboard for administrators and automated reporting.

Results

The system achieved 95% face recognition accuracy, eliminated proxy attendance, and reduced administrative workload by 80%. Processing time: under 2 seconds per student.

OpenCVYOLOv8TensorFlowFastAPI
E-Commerce

AI Chatbot for E-Commerce Customer Support

60% Ticket Reduction

Background

An online retailer with 10,000+ daily customers was overwhelmed by support tickets, leading to slow response times and customer dissatisfaction.

Solution

We deployed a GPT-4 powered WhatsApp chatbot integrated with the client's order management system, capable of handling order status, returns, FAQs, and escalation.

Results

Customer support tickets decreased by 60%, average response time went from 4 hours to under 30 seconds, and customer satisfaction scores improved by 35%.

OpenAI GPT-4WhatsApp Cloud APINode.jsPostgreSQL
Logistics

AI-Powered Route Optimization for Logistics

30% Cost Reduction

Background

A logistics company operating 45 vehicles across the Lahore-Karachi corridor was struggling with rising fuel costs and inconsistent delivery times from manual route planning.

Solution

We built a custom route optimization engine using Google OR-Tools combined with real-time traffic APIs, integrating with the client's existing dispatch system for daily automated route generation.

Results

Fuel costs dropped by 30%, on-time deliveries improved by 25%, and daily deliveries per vehicle increased by 18%. The system paid for itself within 6 weeks.

PythonGoogle OR-ToolsRedisReact Dashboard

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