Utilize Insights from Data Analysis to Optimize the System Layout

To carry out a data analysis, historical customer data such as

  • Article Master Data,

  • Order Data,

  • Incoming Goods Data and

  • Returns Data

are used. Together with the growth scenarios, they form the basis for a profound numerical framework that simplifies the selection and dimensioning of a suitable system solution from SSI SCHAEFER. At the same time, it forms the basis for reliable ROI calculations.

Data analyses are always useful when it is necessary to clarify:

  • What influences the order structure has on an intralogistics system?

  • How the growth forecast will affect existing processes - for example with significantly increasing order volumes in e-commerce.

  • How the dynamic interactions between the various trades behave: for example, high-bay warehouses to shuttle systems to picking stations.