SIMPLY MAPPING COMPLEX B2B PROCESSES DIGITALLY
ONE STEP AHEAD THANKS TO INDIVIDUAL SOFTWARE
Digital transformation has long since gained a foothold in B2B. Public authorities and state organizations like Deutsche Bahn are also getting on the bandwagon to simplify processes. However, corporate structures that have evolved over many years and bureaucratic requirements present digitization projects with challenges. This is where our team comes into play: We analyze your processes in detail, optimize them by incorporating your expertise and offer you the ideal solution.
SPEED UP FRAMEWORK AGREEMENT RETRIEVALS
DEUTSCHE BAHN – "ANALOG RAIL" IS YESTERDAY'S NEWS
Until 2019, Deutsche Bahn's framework agreement families were managed with more than 16 different tools. Given increased security and efficiency requirements, this organization was no longer up to date. Today, it has given way to a cloud-based, group-wide web application that is intuitive to use without sacrificing process accuracy. Provided to employees, the tool supports them in requesting capacities from suppliers in the shortest possible time to determine the most economical contractor. This not only significantly saves time but also ensures a high level of user satisfaction.
- Integration: Kubernetes Cluster
- Web application backend: Spring Boot, Kotlin, PostgreSQL
- Web application frontend: Angular, Typescript
WORK SITE PLANNING WITH 360° SOLUTION
DEUTSCHE BAHN – TENDERING PROCESSES, COMPLETELY DIGITAL
"Deutsche Bahn is building for you!" Every train passenger has encountered these words at some point. The fact that complex tendering processes lie behind this is probably less known. Due to large quantities of relevant documents related to planning, construction supervision, and project management, the calculation of construction projects can be quite lengthy. Our individual software solution with separate user interfaces and functionalities for Deutsche Bahn's purchasers and the architects' and engineers' offices as bidders accelerates the process thanks to structured configuration functionality and automated costing. This simplifies both the fee calculations by the Ordinance on Architects’ and Engineers’ Fees (HOAI) during bid preparation and the review and comparison of the bids.
- Integration: Kubernetes Cluster
- Web application backend: Spring Boot, Kotlin, PostgreSQL
- Web application frontend: Angular, Typescript
MANAGING ORDERS & DATES WITH SMART TOOL
WDS.CARE – NURSING SERVICE HOLISTICALLY DIGITAL
Providing advice and support to care professionals, relatives, and people in need of care. Thanks to our smart order and appointment management tool, the WDS.care team can achieve this even faster and easier today! With the intuitive web application – including an app for tour planning – employees can create orders based on predefined masks, schedule them efficiently, and manage staff absences. The result: Time-consuming, analog workflows are replaced by digital processes through interface integration. And this significantly increases the number of booked appointments.
- Integration: Docker Host
- Web application backend: Spring Boot, Kotlin, MariaDB
- Web application frontend: Angular, Typescript
IN RECORD TIME TO THE IDEAL CANDIDATE
QUIP AG – RECRUITING GOES DIGITAL!
Competent employees are one of the most important resources of any company. Applicant management is therefore a key process. And its simplification the premise for more efficiency and competitive advantages. With this objective in mind, together with the human resources service provider QUIP AG, we have developed a user-friendly web application with interfaces to well-known job portals, which maps the recruiting process completely digitally: From the internal job portal and applicant profiling to the contact history and configurable matching tool; the platform leaves nothing to be desired and supports the service provider in suggesting the ideal vacancy to the end customer in no time.
- Integration: Docker Host
- Web application backend: Spring Boot, Kotlin, PostgreSQL
- Web application frontend: Angular, Typescript
FINDING THE RIGHT DISCOUNT QUICKLY & EASILY THANKS TO MACHINE LEARNING
LESS COMPLEXITY, MORE CUSTOMER SATISFACTION
Long queues due to complicated discounting processes at the checkout are now a thing of the past for our retail customer. With the customized software, including an integrated machine learning tool, employees can quickly and easily create offers based on the customer card number that are tailored to the customer's buying behavior. Moreover, at the store checkouts, the system checks whether there are any active discount offers and, if so, what discount should be granted to the customer in the current payment process. This not only makes the customer but the retailer happy – thanks to an increase in turnover.
- Integration: Kubernetes Cluster
- APIs: Spring Boot, Kotlin und MongoDB
- Data storage: S3-Storage
- Sales Booster Engine: Apache Spark, Jupyter Hub or Jupyter-Notebooks
