ALGORITHMS AND ANALYTICS: AN ADVANTAGE FOR DATA-DRIVEN DECISION-MAKING IN GLOBAL MARKETING AND TRADE

Özet

In an increasingly interconnected global marketplace, the role of mathematics and data-driven strategies in shaping marketing and trade decisions has become indispensable. As e-commerce expands across borders and consumers shift toward digital engagement, businesses that leverage quantitative tools such as predictive analytics, optimization models, and machine learning algorithms are achieving strategic advantages. This paper explores how data-based methodologies are redefining global marketing and international trade dynamics in a rapidly globalising and technologically fluid environment. The paper provides a literature-driven foundation on the intersection of mathematics, data science, and global commerce, followed by a discussion on emerging practices, such as personalized marketing, dynamic pricing, inventory optimization, and real-time consumer behavior analysis. Case studies from global brands illustrate how mathematical tools enable better market segmentation, trade forecasting, and cross-border supply chain efficiency. The paper further argues for a more integrated role of data science in business curricula and policy frameworks, especially in emerging markets, where digital transformation is creating new opportunities. A shift toward data-driven global strategies not only enhances profitability but also supports more sustainable, inclusive, and responsive trade ecosystems. In the context of and food marketing systems, African farmers and and food marketers can adopt algorithms and data analytics to enhance market access, optimize production, improve supply chain efficiency, and make informed decisions that align with global trade demands.