SAP HANA Machine Learning: Logistics Routes Segmentation

SAP HANA Machine Learning: Logistics Routes Segmentation

Learn how to use the SAP HANA Machine Learning K-Means grouping function included in the Predictive Analysis Library. We will find the logistics segments by analyzing multiple variables: 1) Distance of each delivery order 2) Weight 3) Month of delivery to know the season peaks. 4) Priority of delivery. We look at Grouping statistics concepts for the Optimal number of groups for data, Average point for each group, and Analyze groups by the number of records, and demanding services. We practice step-by-step SQL queries to execute the Grouping SAP Hana function.

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Course Goal

  • Use SAP HANA to segment logistic routes data
  • Understand the SAP HANA Predictive Analysis Library for Machine Learning
  • Understand queries and table concepts to execute Predictive Analysis functions
  • Find groups of logistics routes based on distance, hour, weight, and delivery priority

Who This Training Is For

  • All SAP professionals
  • Developers
  • IT/Business analysts
  • Project Managers


  • Certificate of Completion (more certification info)
  • Upon successful completion of this course, receive your SAP HANA Machine Learning: Logistics Routes Segmentation certificate


Fernando Roque

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Fernando Roque

SAP HANA expert - Statistics for Inventory and Supply Chain

Expertise in grouping statistics to find market segmentation for Logistics and Material Resource Planning. Fernando has written books and articles on SAP HANA Machine Learning applications for data segmentation. He has also written for SAP PRESS - Data Segmentation Using K-Means and SAP HANA PAL. His expertise also includes using satellite data for RISK assessment of wildfires, droughts, and crop losses. You can read his article on analyzing the impact of droughts in coffee plantations for COPERNICUS the satellite program of the European Space Agency.

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Language: English
Level: Intermediate
Duration: 2 hours
Type:  Instructor-led
Releases: Enterprise Software
Category: Analytics

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