A global trade company was looking to automate their truck RFID services, enabling hauliers to apply for RFID tags and manage payments effortlessly. INTECH helped eliminate manual processing at help desks, enhanced the tracking of RFID requests, and automate pending system requests.
The client is a leading multinational specializing in cargo logistics, port terminal operations, and maritime services. With presence in over 40 countries with 57 terminals worldwide, they account for a significant portion of the international container traffic, and contribute significantly towards international trade.
Their existing RFID (Radio Frequency Identification) communication process heavily relied on manual request handling, which was quite inefficient and slow.
Due to lack of automation, the client suffered through following problems:
1. Inefficient RFID Request Processing:
Being a slow and resource-intensive process, it caused severe operational bottlenecks on a daily basis.
2. Limited RFID Management Capabilities:
Truck details were not linked to RFID tags, making tracking and request management difficult.
Users could not create or amend RFID requests directly from the truck details page.
There was no structured approval/rejection workflow for internal users to handle RFID requests.
3. Lack of Automation in System Maintenance:
Outdated and inconsistent data from expired RFID requests led to system confusion.
There was no real time synchronization of the RFID Autogate logs, which affected the accuracy of operations.
Users were not informed about their defective RFID tags, resulting in unexpected interruptions.
To tackle these problems, INTECH’s legacy application migration solution focused on designing a modern RFID management system that will leverage smart automation.
Built a RFID request submission portal for hauliers and internal users.
Gave users the ability to track and receive status updates on their requests.
Improved the display of truck details to include linked RFID tags and request texts.
Enabled automatic creation, allocation and verification of RFID requests.
Enabled automatic deletion of expired irrelevant RFID requests.
Send automated notifications for faulty RFID tags automatically.
Introduced RFID tag replacement functionality for faulty tags.
During the implementation, we focused on ensuring that the shift from outdated legacy systems to a modern automated system was seamless.
To achieve this, we followed a step-by-step approach:
1. Fixed the Core Inefficiencies:
Firstly, we designed an automation system which allowed the internal users and hauliers to submit, manage and track their RFID requests online.
This eliminated the need for physical visits to help desks and enabled real-time processing of requests.
Additionally, any more gaps in request tracking and approval mechanisms were identified, allowing the system to be redesigned for better control and transparency.
2. Development & Integration:
A ‘Truck Details Page’ was developed to provide a clear view of linked RFID tags and request statuses. A structured approval and rejection mechanism was introduced, empowering internal teams to validate RFID requests efficiently. Automated schedulers were developed to ensure outdated RFID requests, synchronizing logs, and notifying users of faulty RFID tags.
3. Testing & Deployment:
Before launching the new system, extensive functional testing was conducted. Once the system passed all quality checks, it was deployed into the trade portal, making RFID request handling completely automated.
Faster RFID Processing No more help-desk visits, RFID requests could now be processed instantly through the online portal.
Improved RFID Visibility: Truck details now provide real-time RFID tracking for hauliers and internal users.
Automated Request Management: Outdated requests can now expire automatically, reducing system clutter and operational delay.
Enhanced User Experience: This self-service capability streamlined logistics operations, reduced waiting times, and allowed users to handle their RFID needs anytime, from anywhere.
Database: Oracle, MS SQL Server
Backend: Java 8, Spring MVC
Frontend: JSP