IT solutions for the food industry
In food production and processing, digitalisation is among the greatest opportunities of Industry 4.0. Logistics and manufacturing processes can be sustainably improved by intelligent IT solutions.
Our IT solutions for the food industryWe adapt every solution to your needs!
Our data scientists and engineers make more out of your data! Industry 4.0 machines generate a huge amount of information. We help you to evaluate it and use it sensibly.
Whether in cultivation, processing or production, we can help you with AI algorithms to improve your processes and even open up new business areas.
We develop apps for smartphones or other work devices that complement and improve your individual operational processes – a flexible software solution with interfaces to your systems.
Questions on digitalisation in the food industry
Where do I start with the digitalisation of my processes?
In our experience, digitalisation does not happen overnight. It is a process that develops iteratively over several stages. This allows us to react flexibly with you to changing requirements and quickly implement the individual new processes.
We are happy to offer you a workshop prior to the start of the project to check whether the transformation is worthwhile and what benefits it will bring. We work with you to define a goal for the digitalising of your production: an increase efficiency, product quality improvements or the development of new business areas.
This is followed by a proof of concept, in which we determine which technologies best fit your use case – from powerful IT infrastructure to intelligent data analysis tools.
We augment our project offer with training courses, in which we empower your employees to driving digitalisation independently.
How do I generate added value with my data?
We develop a data strategy with you to make good use of the available data. Within this framework, we support you in collecting and processing the data to subsequently make it usable for your company. This can be done in the context of data analysis, which provides insights into how processes, products and services can be improved. Among other things, you can use machine data for predictive maintenance to detect malfunctions at an early stage and thus avoid failures and the associated costs.