Ecommerce

Automated Pricing and Inventory Management System

CategoryEcommerce
Duration2-3 months
Budget$12,000-$18,000
ServiceE-commerce Development & Analytics
Automated Pricing and Inventory Management System, main project image

Project Overview

I developed an automated pricing and inventory management system for an e-commerce platform, utilizing the MERN stack (MongoDB, Express.js, React.js, Node.js) and Supabase as the database solution. The platform allows businesses to track competitor pricing, monitor product stock, and adjust their pricing strategies in real-time. I built dynamic dashboards with React.js for a seamless user experience and implemented server-side logic with Node.js and Express.js to handle real-time data processing. Supabase was used to store and manage user data, product information.

The Challenge

Client needed a professional ecommerce solution to enhance their business operations and achieve their goals.

The Solution

I developed an automated pricing and inventory management system for an e-commerce platform, utilizing the MERN stack (MongoDB, Express.js, React.js, Node.js) and Supabase as the database solution. The platform allows businesses to track competitor pricing, monitor product stock, and adjust their pricing strategies in real-time. I built dynamic dashboards with React.js for a seamless user experience and implemented server-side logic with Node.js and Express.js to handle real-time data processing. Supabase was used to store and manage user data, product information.

Key Features

Responsive design for all devices
Modern and clean UI/UX
Fast loading times
Secure and scalable architecture
Shopping cart
Payment integration

Tools & Technologies

ReactNode.jsExpress.jsMongoDBSupabaseJavaScriptRESTful APIs

Results & Impact

Implemented automated pricing optimization resulting in 15% average margin increase. Real-time inventory tracking reduced stockouts by 60% and improved inventory turnover by 35%. The system now monitors 10,000+ products across multiple competitors, enabling data-driven pricing decisions that increased sales by 25%.