codecentric AG
Recommended Providers
Overall Rating
Distribution of rating stars
STARS | PERCENTAGE | DISTRIBUTION |
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5 Stars | 93.3% |
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4 Stars | 6.7% |
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3 Stars | 0% |
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2 Stars | 0% |
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1 Star | 0% |
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Profile Overview
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About codecentric AG
codecentric is an IT consulting firm for agile software development with 16 locations. At our company, top talents meet innovative technologies & modern methods.
Contact the vendor and get feedback on your queries in a timely manner.
Locations
Solingen
Hochstraße 11Video
Expertise
- Software Development Agency: 45%
- Cloud Solutions: 20%
- Cyber Security: 10%
- AI Company: 25%
Cloud Solutions
- Microsoft Azure: 30%
- Google Cloud Platform: 35%
- AWS: 35%
Artificial Intelligence
- Machine Learning: 70%
- Pattern Analysis & Recognition: 30%
Cyber Security
- Digital Forensics: 30%
- Attack Detection & Response: 35%
- Penetration Tests: 35%
Contact the service provider and receive an appropriate offer in a timely manner.
Team
Team Story
// Partnership and passion for sustainable solutions
We accompany you as a partner. That is our commitment and aspiration. Because technology is not everything. It depends on the right way to develop solutions and implement them in the company.
// Questioning each other critically
We focus on communication between people. This is the only way we can achieve good results for and with you. This determines our work in the project. We benefit from our codecentric culture: we are passionate and goal-oriented in finding solutions and are also direct, honest and not afraid to ask critical questions. For us, this also includes openly addressing unpleasant topics in order to achieve the best possible result together with our customers.
You can find more information about us and how we work here:
https://www.codecentric.de/arbeitsweise
Contact the vendor and get feedback on your queries in a timely manner.
Portfolio
Key Clients
Metro Digital GmbH Provizial Xing Telekom Verband öffentlicher VersichererDownloads
Case Studies
Resilient data analysis helps flaschenpost to optimize its supply chain
Case Study by codecentric AG
Description
Fast order processing is a decisive competitive advantage when it comes to the door-to-door delivery of beverages and other foodstuffs. A maximum of 120 minutes should therefore pass from ordering in the online store to delivery to the doorstep.
To orchestrate driver logistics, flaschenpost relies on machine learning to create forecasts for logistics processes and supply chains. Large amounts of data are processed and analyzed to identify patterns and trends that are helpful in predicting the availability of drivers and estimating the duration of work steps. The more precise the estimates are, the more accurate the route planning results for the drivers will be.
Challenge
If the number of drivers predicted at a given time is incorrect, this often leads to under- or over-utilization of driver capacity: underutilization can lead to inactive waiting times and possibly rejected orders, while overutilization can result in delays and cancellations of orders that can no longer be serviced. Accurate prediction of these points therefore pays direct dividends in terms of higher customer satisfaction and therefore increased sales.
Solution
// Team structure
A joint team consisting of developers from flaschenpost and codecentric was formed for the duration of the project. The team consisted of a mix of experienced and young data scientists and data engineers who used agile methods such as Scrum to continuously improve and operationalize the algorithms.
// Milestones of the project
An important milestone was to expand the forecasting portfolio so that further steps in the machine learning supply chain could be optimized. In addition, various solutions for the automation of complex data and machine learning pipelines were investigated and implemented. These were intended to reduce the effort required for administrative and operational tasks. It was also important to be able to clearly display and compare the metrics of different algorithms. This allows the best model to be identified quickly and a systematic investigation to be carried out into which data leads to an improvement in an AI model.
// Technical design
The settings that need to be defined before training a model and that influence its performance were automated. Monitoring and reporting was expanded in a meaningful way so that the team has an even better overview of the performance of the forecasting portfolio. The main programming language was Python, which supports all relevant machine learning and data engineering frameworks in addition to excellent integration with Kubernetes and Azure. The technology stack also included Kubernetes, MLFlow, HyperOpt, FastAPI and streamlit, among others.
Results
The optimized and expanded logistics forecasting portfolio of flaschenpost SE now runs robustly and is easy to expand. The solution enables a systematic analysis of the data and thus contributes to an improvement of the AI model. Through automation, tracking with MLFlow and a dashboard that displays the metrics of the individual algorithms, the cycle time from model development to evaluation in live operation has been significantly reduced.
The developers at flaschenpost are now able to transparently view the data involved, training parameters and the utilization of the models; the data can also be easily adjusted. The models developed in this way enable flaschenpost to predict and plan driver logistics even better before, during and after a delivery tour. Automation has led to a reduction in IT infrastructure costs as well as an increase in data analysis speed.
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Further case studies of the provider
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Reviews
Integrated Reviews
very interesting events for the software tech community and decision makers in IT ♿ accessible parking, entrance and restrooms
A company with an interesting corporate culture and values that are lived. I applied to Codecentric and had a positive experience despite being rejected at the end. There was really good and helpful feedback in my direction. I can only give my recommendation here. Take a closer look here, it's worth it!
A highlight every time I'm here. A super beautiful place.
Very nice place and the Bergpitch event is a highlight every year.
👍