HOW ANALYTICS CAN IMPROVE LOGISTICS AND SUPPLY CHAIN IN MULTINATIONAL COMPANIES: PERSPECTIVES FROM EUROPE AND AMERICA

Abstract

The research is focused on the role of big data analytics in logistics of transportation in multinational companies across the world. It shows new opportunities for current supply chain practices, while adding operational excellence and value. A survey was carried out among staff members of multinational companies from the Americas, and Europe. For the statistical investigation of survey data, an equation modeling was used. Results reveal that demand management, seller rating, and vendor satisfaction are the most important factors. The study also found that analytics affect efficiency, operational excellence, customer service, and cost savings in the supply chain industry. The goal is to reduce the gap between demand management and supply chain management by improving customer satisfaction, visibility, and visibility. The big data can produce substantial value added and monetary gains for companies and will quickly become common throughout the industry.

Keywords

• decision-making
• public transportation
• big data analytics