System 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.
Tech Stack
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
Engineering Features
Developed a full-stack inventory management and sales forecasting system for two partner companies.
Implemented ETL pipelines, low-stock alerting, and advanced SKU/sales analytics.
Built secure REST APIs, optimized PostgreSQL schemas, and integrated Prophet forecasting.
Delivered the system as a standalone desktop app and provided user onboarding.
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