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Predictive analytics with The Ehrhardt + Partner Group (EPG): Recognizing from yesterday what will happen tomorrow


So that processes also run smoothly in the warehouse during seasonal order peaks, many companies subjectively trust the advance planning of their logistics processes on their previous experience. However, in order to make precise predictions of future capacities, logistics professionals must be able to translate these experiences into available and usable data at any time. The Ehrhardt + Partner Group (EPG) supports this process through predictive analytics.

Integrated AI (Artificial Intelligence) components process all the relevant data from the supply chain which constantly increases the precision of the predictions. This makes networked logistics processes even more economical and efficient. Solid advance planning is essential in times of high competitive pressures, scarcity of resources and just-in-time deliveries. For example, in daily logistics operations, forecasts for raw material requirements, the order situation, transportation volumes, numbers of packing units and picking times are urgently required. The predictive analytics concept from EPG supports companies in making reliable future forecasts through the analysis of past data. Together with its technology partner IBM, EPG creates models in which relevant logistics data from customer systems are processed. External influencing factors such as the weather or the news can also be incorporated into forecasts on future capacity levels. And with each passing day, the accuracy of the predictions increases.

How does predictive analytics work in the field?

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