We are looking forward to your message.
0521 963 017 88
[email protected]
You can reach us daily from
10.00 to 16.00 at
.
Buddestraße 9
33602 Bielefeld
33602 Bielefeld
We have been implementing individual data products for 10 years.
We write success stories with our customers and partners every year!
Our customer Ingredion was faced with the challenge of generating data-driven predictions for optimal response times.
If we manage to use artificial intelligence to generate precise predictions for different production conditions, we can increase plant capacity without investing in hardware.
Within six months, we were able to increase plant capacity by up to 10% and generate several million euros more net profit for the future.
Within just two months, we were able to implement an MVP in the area of guided repairs and another project in the automatic creation of quotations and cost estimates.
An AI assistant gives the technicians suggestions on how to carry out the repair directly in the service software with 90% accuracy.
Using data science and AI methods, we were able to optimize the management of call centers and sales activities to the next best action, driven by data.
The data-driven approach and many learning loops have demonstrably increased sales success.
In figures, this means 20% more call acceptance and, depending on the product, between 2% and 15% more sales.
We have developed a tool for a leading company in the field of fiber optic expansion that makes it possible to identify optimal expansion areas. As these are multi-million investments with long amortization periods, the decisions are mission-critical.
Our tool makes it possible to draw areas on satellite maps and generate precise data-driven predictions on expansion costs and sales forecasts. Particular emphasis is placed on explainable AI in order to be able to understand recommendations.
For our industrial customer, we have set up our own in-house ChatGPT in Azure, which makes it possible:
Together with a leading company from the process industry, we have developed a data product for the early detection of rejects based on time series data from the machines.
Our predictive quality module enables the company to immediately detect anomalies and deviations in production and stop the process in order to reduce rejects and guarantee products that meet specifications.
For a leading retail company, we successfully accompanied a lift & shift project to migrate a large number of complex analyses based on a historical SAS infrastructure.
Our target architecture based on Python, Azure and Databricks offers a modern environment for working with large amounts of data across multiple teams and developing data products.
With a leading chemical company from the process industry, we were able to convert the majority of the tables and processes to Apache Kafka message streaming and Databricks within a year.
As a result, we have provided a large number of teams with the tools they need to develop complex data products collaboratively.
0521 963 017 88
[email protected]
You can reach us daily from
10.00 to 16.00 at
.