Intelligent Warehouse Management System

The Intelligent Warehouse Management System (iWMS) is a web-based platform developed as a final year project to modernise warehouse operations through artificial intelligence and data-driven decision making. Rather than functioning solely as a warehouse management system, iWMS integrates machine learning, optimisation algorithms, and operational workflows to support inventory planning, warehouse execution, and supply chain management. The platform provides dedicated interfaces for administrators, warehouse managers, supply chain planners, pickers, and put-away operators while maintaining secure role-based access control.

Traditional warehouse operations often rely on manual planning, historical intuition, and disconnected systems. This results in:

• Poor Storage Slotting
• Inefficient Picking
• Demand Blindness

The solution combines multiple AI-driven modules into a single operational platform. Major capabilities include:

• Intelligent Slotting
• Wave Planning & Route Optimisation
• Demand Forecasting
• Warehouse Operations
• Model Management (Registration and Retraining)
• User & Role Management

• Team Leader
• Prepared production-ready forecasting datasets through data cleaning, preprocessing, and exploratory data analysis (EDA)
• Designed the Demand Forecasting module
• Trained and evaluated time-series forecasting models
• Developed FastAPI AI services for the Demand Forecasting module
• Built the model registration and retraining pipeline
• Integrated AI services with the Laravel application

• Full-Stack Web Development
• Machine Learning
• Time-Series Forecasting
• REST API Development
• System Architecture
• Database Design
• Docker
• Role-Based Access Control (RBAC)
• AI Model Lifecycle Management
• Model Retraining
• Warehouse Optimisation