Case Study 10: Entity Management for a Logistics Company Based on State Machine Implementation
Challenge:
The logistics company was unable to track shipments effectively due to inconsistent state management. There were various stages through which the shipment passed, but no way was present in the system to manage transitions in a structured manner to prevent errors and enable real-time tracking. So, lost shipments, delays in tracking, and operational inefficiencies became the orders of the day.
Solution:
Through the introduction of the state machine-based entity management system, OKRUTI utilized:
– Spring Boot & Kafka – For ensuring event-driven state transitions for real-time updates.
– Postgres – For state persistence & historical tracking functions.
– State Machine Pattern – For standardizing the shipment lifecycle, thus limiting the number of errors in state transitions.
This thus helped in smoothening the flow for shipment tracking and delivering accurate status updates during every phase.
Results achieved:
✔ Shipment tracking accuracy improved with the addition of real-time status updates.
✔ Substantial decrease in state transition errors, thereby forming a reliable logistics operation.
✔ Improved efficiency of operations; quicker and transparent deliveries.
Feedback from a customer:
“The state management solution provided by Okruti has helped us improve our merchandising track, thereby reducing errors and enhancing efficiency.”