Project description

“PAD Online” is a software solution that was originally used by ERGO Group AG for investment management. Additional modules such as file management, distribution planning, balance sheets, accounting data, FATCA, mandates, private equity, risk governance, taxes and fair value determination have now been added to the application.

In addition to the modules mentioned, external interfaces were also implemented: Reporting foreign investments via ERIC interface to the tax office (§138 AO)
and reporting foreign investments to the Bundesbank (K3).

The application is now also used by Munich Re.

Technologies used: Java, Spring, Vaadin, Hibernate, camunda BPMN, Quartz, REST, JUnit, Mockito, Selenium, Testbench, MySQL, Tomcat, Maven, GitLab, Jenkins, Sonar Qube, Nexus, Jira and Confluence

Project description

Get information quickly and efficiently!

“PAD mobile” brings the long-time application system “PAD Online” to mobile devices. Now all important key figures can be viewed directly on the move.

ERGO’s investment data can now also be viewed on a smartphone using the app. The most important key figures for master data, investments, contact persons, mandates and balance sheets are shown mobile-optimised and are available to management anytime and anywhere.

Project description

KiBa – AI and Discrete Loading Optimization Models for Increasing Utilization in Combined Transport

Compared to maritime combined transport (CT) with sea containers, continental transport features a much greater variety of loading unit types with diverse dimensions and weights. At the same time, there are many different types of railway wagons with specific loading characteristics. The major challenge in combined transport transshipment terminals, when transferring between rail and road, lies in matching each loading unit with the appropriate railway wagon. Important factors include not only the length of the loading unit but also its design, height, weight, and type of cargo.

The goal of the project is to solve this matching problem using IT and to optimize it with appropriate calculation methods and artificial intelligence (AI) techniques. The aim is to ensure that each request for loading a unit receives a prompt suggestion for optimal placement on a deployed train composition. However, this decision must be made before all information is available about which additional loading units will arrive at the CT terminal for the same origin/destination routes over time.

To achieve this goal, a shared master database was established for all project partners. This database includes train car master data, such as type and category, as well as possible loading schemes. The application provides a user interface for searching and maintaining the master data and offers technical access for other systems via a REST API. The frontend of the application is implemented in Angular, while the backend is developed with Spring Boot. Additionally, authentication via OAuth2 (OIDC) was implemented using Keycloak and configured in both the frontend and backend with Spring Security.

Numerous technologies such as Java, Spring Boot (Spring Core, Spring MVC, Spring Data/JPA, Spring Security, Spring Modulith), Javascript, Angular (Signals, Signal-Store, swagger-codegen, Standalone Components), Hibernate, Junit, Flyway, REST API, OpenAPI + Swagger-UI, QueryDSL, Node, npm, Maven, PostgreSQL, Sonar Qube, Gitlab inkl. CI/CD Pipelines, Docker, Nexus, Keycloak, IntelliJ IDEA, Jira and Confluence were used in the implementation of the project.

Project description

The Generation GmbH is a veterinary institute for molecular genetics that is specialized in DNA investigations of animals.

The new implementation of the web application “Animal Trust Center” covers not only the web application but also the digitalization of the laboratory processes and the order management of the Generatio GmbH. The processing of animal DNA data with comparison and evaluation of ancestry, gene defects etc. is also part of this.

Numerous technologies such as Java, Spring, Spring Boot, JPA, Webflux, Hibernate, jUnit, WildFly, Bootstrap, Vue.js, npm, Google Web Toolkit, REST-API, JAX-RS, maven, GitLab, Jenkins, Sonar Qube, Jira and Confluence were used in the implementation of the project.

Project description

At Otto (GmbH & Co KG), the company faced a particular challenge: its in-house IT system for direct marketing, which is also used by its subsidiaries, needed to be linked to Deutsche Post’s complex postage optimization software. Postage data had to be transferred to the Deutsche Post application, and the optimized rates and sorting options then had to be fed back into the company’s own system.

COMINTO developed an intelligent interface solution that seamlessly connects both systems. All relevant data is automatically processed and transferred in both directions—without requiring any changes to the existing systems themselves.

The result is a smooth integration between internal processes and Deutsche Post’s requirements. As a result, Otto can leverage optimal postage and significantly reduce postage costs per mailing campaign.

Various technologies were used to implement the project, including Java, Spring Boot, Spring Batch, JAXB, and Flyway.