Data Science in the Field of Logistics
From the vehicles used to the distribution centers: due to the ongoing digitalization, you have an extensive database in almost all processes in logistics.
The possible applications of data science range from higher availability of the vehicle fleet to optimized warehousing to avoid out-of-stock situations.
Take advantage of our know-how as one of the leading data science providers and our many years of experience in implementing analysis projects in logistics. We support you in turning your data potential into competitive advantages.
Data Science in the Field of Logistics
From the vehicles used to the distribution centers: due to the ongoing digitalization, you have an extensive database in almost all processes in logistics.
The possible applications of data science range from higher availability of the vehicle fleet to optimized warehousing to avoid out-of-stock situations.
Take advantage of our know-how as one of the leading data science providers and our many years of experience in implementing analysis projects in logistics. We support you in turning your data potential into competitive advantages.
A selection of questions we have answered in our projects in the logistics industry:
How can the maintenance of a fleet of trucks be optimized?
Implementation of a predictive maintenance approach to predict the occurrence of faults in the vehicles.
How can warehousing in the wholesale trade be improved?
Analysis of customer buying behavior and the effect of past offer promotions to determine when a customer will trigger the next purchase.
What is the right location for a new distribution center?
Determination of the optimal combination of factors for successful locations. Replacing the "gut feeling" factor and reducing the investment risk.
How can picking distances be shortened?
Development of an optimization algorithm to reduce the time required for manual picking by outputting a route-optimized picking list.
How can out-of-stock situations in spare parts warehouses be avoided?
Forecasting future sales by means of time series analyses based on historical sales volumes.
How can logistics on the "last mile" be improved?
Recognition of patterns in the historical delivery processes to derive measures for a more efficient use of the existing transport logistics.
We are Member of MoWiN
As a regional platform, Mobility Economy North Hessen Network connects nearly 130 different companies active in the logistics, automotive/vehicle manufacturing, electromobility, rail technology, mobility management and public transport systems sectors.
Data-Driven Software:
YUNA – Data Science Platform
YUNA is the central platform for the development and control of digital, AI-supported projects. It combines BI functions with the possibility to use various models and scripts.
Case Study:
Predictive maintenance – TRUMPF Lasertechnik
Discover how we helped TRUMPF Lasertechnik to realize a Predictive-Maintenance-System which is able to forecast machine failures before they occure!
Data Science Infrastructure:
On Premise, Cloud or Hybrid
Design, implementation and support! We are the provider of resilient and reliable data-driven services. We also make your infrastructure ready for the digital challenges of the future!
Data Projects:
From the idea to productive service!
Which use cases are particularly purposeful for you? How can knowledge creation succeed in your company? From the solution idea to the productive use of AI systems in your company: We create perceptible added value for you from data.
Jump start now – we will walk you through it!