Data Forger Case Study

• Client:  RetailTech Inc
• Date:  April 2025
• Tech Stack:  JavaScript, Node.js, Sails.js, MongoDB, PostgreSQL, Prisma, React

Automated Fake Data Generator for Ecommerce

Data Forger is an innovative automated fake data generator specifically designed for ecommerce and retail platforms. The tool generates realistic test data that mirrors real-world scenarios, enabling development teams to test their applications with confidence while maintaining data privacy and security.

Built with a robust architecture using Node.js and Sails.js, Data Forger can generate millions of realistic product listings, customer profiles, transaction histories, and inventory data. The system uses advanced algorithms to ensure data consistency and relationships, making it indistinguishable from real production data for testing purposes.