Transforming Logistics Pricing: How Improved Business Intelligence Can Inform Logistics

Jeffrey Drue Peck, Michael S. Gendron and Tera Black
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Jeffrey Drue Peck: Central Connecticut State University, New Britain, CT, USA
Michael S. Gendron: Central Connecticut State University, New Britain, CT, USA
Tera Black: Central Connecticut State University, New Britain, CT, USA

International Journal of Business Intelligence Research (IJBIR), 2017, vol. 8, issue 1, 40-54

Abstract: Raw materials and products are moved and created globally through complex supply chains. Within those supply chains, logistics is what enables the goods to move through distribution and to the end consumer. This is what motivates the researchers to examine the logistics portion of the supply chain and attempt to determine the relationship between various market forces and their impact on the cost of logistics. This will be accomplished with transformative analytics techniques, such as multivariate regression modeling, that should enable logistics managers, researchers, and others to better understand the cost of logistics services, and thus impact pricing of goods dependent on those services. In a world where logistics managers rely heavily on “gut feel”, utilizing business intelligence and analytics can better enable decision making.

Date: 2017
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