Data Science in logistics

From the vehicles used to the distribution centers: thanks to advancing digitalization, you have an extensive database at your disposal in almost all logistics processes.

The potential applications of data science range from higher vehicle fleet availability to optimized warehousing to avoid out-of-stock situations.

Take advantage of our expertise as one of the leading data science providers and our many years of experience in the implementation of analysis projects in logistics. We support you in transforming your data potential into competitive advantages.

A selection of the questions we have answered in our projects in the logistics sector:

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How can the maintenance of a truck fleet be optimized?

Implementation of a predictive maintenance approach for predicting vehicle faults.

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How can warehousing in wholesale be improved?

Analysis of customer purchasing behavior and the impact of past promotions to determine when a particular customer will trigger the next purchase.

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What is the right location for a new distribution center?

Determining the optimum combination of factors for successful locations. Replacing the “gut feeling” factor and reducing the investment risk.

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How can picking routes be shortened?

Development of an optimization algorithm to reduce the time required for manual picking by outputting a route-optimized pick list.

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How can out-of-stock situations in spare parts warehouses be avoided?

Forecasting future sales using time series analyses based on historical sales volumes.

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How can logistics on the “last mile” be improved?

Recognition of patterns in historical delivery processes to derive measures for more efficient utilization of existing transport logistics.

We are a MoWiN member

As a regional platform, the Mobility Economy North Hesse Network connects almost 130 different companies that are active in the logistics, automotive/vehicle construction, electromobility, rail technology, mobility management and public transport systems sectors.

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Get started now:
We look forward to exchanging ideas with you.

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Your expert on Data-Science-Projects:

Lutz Mastmayer
projects@eoda.de
Tel. +49 561 87948-370







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