Client Context
A logistics company needed to automate repetitive workflows across warehouse operations.
The Problem
Manual processes caused delays, errors, and inconsistent reporting.
Objectives
- Automate workflow triggers
- Integrate with existing ERP
- Reduce human error
- Improve reporting accuracy
Architecture & Approach
I built a workflow automation engine using Java microservices, event‑driven architecture, and REST APIs. The system integrated with scanners, sensors, and ERP endpoints.
Technologies Used
- Java + Spring
- Docker
- REST APIs
- PostgreSQL
- Event‑driven architecture
Challenges
- Legacy ERP integration
- High concurrency
- Real‑time event processing
Solution
A modular automation engine capable of orchestrating workflows, validating inputs, and generating reports automatically.
Outcome & Impact
- 70% reduction in manual tasks
- 2× faster processing
- Error rate dropped significantly
- Unified reporting across departments
Metrics
- 15 automated workflows
- 200+ daily events processed
- 99% accuracy in reporting
