Inventory Management System
Full-Stack Solution with AI-Powered Sales Forecasting
Project Overview
Developed a comprehensive, full-stack inventory management system with multi-company deployment capability and integrated sales forecasting to drive operational optimization for two partner companies (Pajara Pajams Ltd. and Toogtons Innovators Ltd.). The system features advanced SKU/sales analytics, automated low-stock alerting, and robust ETL pipelines for data processing. On the backend, a secure architecture was established using optimized PostgreSQL schemas and REST APIs, which were integrated with the Prophet forecasting model for predictive analytics. The fronted used Next.js and the complete solution was delivered as a standalone desktop application.
Real-Time Analytics
Live inventory insights and performance metrics
AI Forecasting
Prophet-based demand prediction and optimization
Multi-Company
Support for multiple business entities
Project Demo in Action
Key Features
Full-stack FastAPI backend with Next.js frontend
ETL pipelines for data ingestion and processing
Real-time low-stock alerting system
Advanced SKU and sales analytics dashboard
Prophet time-series forecasting integration
PostgreSQL database with optimized queries
Electron desktop application deployment
Secure REST API architecture
Technologies Used
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