Data analytics in the warehouse business

In today’s warehouse industry, distribution centres have access to enormous amounts of data. Understanding and working with these data are extremely valuable tools for improving the overall throughput of a distribution centre.

Running an efficient distribution centre is an increasingly complicated task. With e-commerce on the rise, distribution centres handle a higher number of items and an increasing variety of SKUs. All of it represents a golden opportunity, but it also puts a strain on the handling systems. The best and most cost-efficient strategy for distribution centres to thrive in an age of e-commerce is through digitalisation and data analytics. Through data comes a new level of insight, which gives the power to dramatically increase operational efficiency and throughput.

  • Predictive and prescriptive maintenance
  • Supporting operational decisions
  • Enabling data-driven asset management
  • Visualisations tailored for specific roles and/or focus areas
  • Moving from ‘What we think’ to ‘What we know’.


By use of today’s tools for big data mining, streamed data can be enriched and filtered to secure the quality of the data, which is aggregated and prepared for simple visualisation. This type of data mining not only provides insight into the current performance of a material handling system, but also enables the build-up of a historical record for future investigations and learnings across a number of systems.


At BEUMER Group we have worked with data for a number of years and have used these learnings to extend our services to the predictive and prescriptive level. BEUMER’s digital capability offers a growing suite of data-driven services to enable employees at the maintenance, operational and management levels to make better informed decisions.

Beumer group’s suite of digital services

Do you have any questions?

Do you have any questions?

Your Contact Person

Thomas Wiesmann

Director Sales Logistic Systems

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