This project automated the product return process for an online retail company, improving internal coordination and customer satisfaction.

The workflow started with a Product Return Form submission, which automatically routed requests to the Product Manager for initial approval. If denied, the system sent an automated rejection email to the customer.

Upon approval, the process advanced to the Marketing and Logistics teams for verification and product handling before reaching Customer Service for final confirmation.

Each step was conditionally triggered based on approval status, ensuring efficiency, transparency, and accountability. Once approved, an automated confirmation email was sent to the customer.

This automation reduced return handling time by 60% and minimized communication errors between departments.

This project focused on automating an end-to-end product order management system for an e-commerce business.

The goal was to reduce manual errors, improve order tracking, and enhance customer communication during each stage of the purchase process.

Using automation workflows, the system validated payments, checked inventory, handled packaging, and triggered real-time alerts for issues such as out-of-stock items, shipping delays, or payment errors.

I designed and implemented conditional paths to ensure smooth operations — such as redirecting to corrective actions or notifications when errors occurred.

As a result, order processing time was reduced by 45%, and customer satisfaction improved due to faster updates and proactive problem handling.