Entity Management for a Logistics Company Based on State Machine Implementation
Challenge:
A leading logistics company faced significant challenges in tracking shipments accurately due to inconsistent state management. Shipments passed through multiple stages, but the system lacked a structured mechanism to handle state transitions.
This resulted in:
- Frequent shipment tracking errors and data inconsistencies.
- Lost or delayed shipments due to poor visibility across logistics stages.
- Inefficient operations and a lack of real-time status updates for customers.
The company needed a robust, event-driven solution to ensure accurate shipment tracking and seamless state transitions throughout the shipment lifecycle.
Solution:
OKRUTI designed and implemented a state machine-based entity management system to bring structure, reliability, and automation to shipment tracking and state transitions.
Key Highlights:
– Spring Boot & Kafka: Implemented an event-driven architecture to enable real-time state transitions and updates across systems.
– PostgreSQL: Used for reliable state persistence, historical tracking, and audit logging of shipment lifecycle events.
– State Machine Pattern: Established a standardized shipment lifecycle model, enforcing valid state transitions and reducing operational errors.
This framework provided a clear, traceable, and automated mechanism to manage every shipment’s journey—from dispatch to delivery—ensuring end-to-end transparency.
Results achieved:
✔ Improved Shipment Tracking Accuracy: Real-time state transitions enabled precise and reliable tracking updates.
✔ Reduced Transition Errors: Standardized state management minimized invalid transitions and shipment delays.
✔ Enhanced Operational Efficiency: Streamlined workflows accelerated delivery timelines and improved productivity.
✔ Greater Transparency: Real-time visibility strengthened customer trust and overall logistics reliability.
Feedback from a customer:
“The state management solution provided by Okruti has helped us improve our merchandising track, thereby reducing errors and enhancing efficiency.”