The technology used in this case study is a combination of cloud computing and various programming languages and frameworks. The system was deployed on Azure Cloud, which provided a scalable and reliable platform for production deployments. The primary programming language used was JAVA, along with J2EE framework for building enterprise applications.
JAVA Server Faces (JSF) was used to build the user interface, which is based on HTML, JSON and Prime Faces. The system uses REST API and SOAP web services for communication, which are based on XML, XSD. The system also uses Spring Framework, which is a popular framework for building Java applications, and Oracle as the database management system. JMS and IBM MQ Server was used to handle messaging and queuing.
WebSphere Application Server was used as the server environment for deploying the application.
Customer Success Outcomes:
Improved shipment movement management: The Freight Management system provided a comprehensive solution for managing shipment movements, which helped the customer plan, execute, manage and communicate shipment movements in a more efficient and effective manner.
Increased accuracy and efficiency: The automated shipment planning system and real-time execution, provided more accurate projections and improved asset utilization, productivity, and planning.
Reduced customer inquiries: The intuitive visualization of trip plans and consistent information flow to customer-facing tools helped to reduce customer inquiries related to shipment status and improve customer service and satisfaction.
Improved operational efficiency: The system provided point-of-failure data analysis and service measurement capabilities, which helped the customer identify accountable failure locations within their operations and make data-driven decisions, resulting in improved operational efficiency.
Better data-driven decision-making: The system provided marketing team with the information they needed to come up with effective pricing initiatives, which helped the customer make better business decisions.
Scalable and reliable platform: The system was deployed on Azure Cloud, which provided a scalable and reliable platform for production deployments, ensuring that the system could handle the demands of the business and support the growth of the company.
Improved performance with the use of industry standard technologies: The system was built using industry standard technologies like JAVA, J2EE, JSF, HTML, JSON, REST API, Prime Faces, SOAP Web Services, XML, XSD, Spring, Oracle, JMS, WebSphere, IBM MQ Server, which ensured high performance and scalability of the system.
Overall, the customer was able to gain greater insights from their data, make better data-driven decisions, and scale their big data solution more easily, which helped them improve their operations and provide better customer service.