EENI Global Business School

AI in International Marketing and Customer Insights


African Students (Masters, Courses, Foreign Trade, Business)
Masters in International Business and Foreign Trade (MIB AI) MIB and APEL (Accreditation of Prior Experiential Learning)
Doctorate in International Business (DIB AI) Online MIB and APEL (Accreditation of Prior Experiential Learning)
Artificial Intelligence (AI) for Global Business (Online Course
Global Transport and Logistics
We Trust in Africa (Affordable Higher Education for Africans)
Harmony of Religions. Sri Ramakrishna Principle and Global Business
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AI in customer segmentation, personalization, and sentiment analysis

Artificial Intelligence (AI) for Global Business (Online Course
Course: AI for Global Business

AI Introduction, Technologies, Global Trade,  Strategy, Supply Chain, Digital Trade, Marketing, Cross-Cultural, Finance, Ethical, Sustainability, Future Trends, Global Ethics

This subject explores the transformative role of Artificial Intelligence (AI) in International Marketing strategies and the generation of customer insights. It equips students with the knowledge and tools to leverage AI technologies—such as machine learning, natural language processing, and predictive analytics—to understand global consumer behavior, optimize marketing campaigns, and make data-driven decisions.

Syllabous

  1. Introduction to AI in International Marketing and Customer Insights
    1. Case Study: Unilever's Use of AI in International Marketing and Customer Insights
  2. AI in customer segmentation, personalization, and sentiment analysis.
  3. Customer segmentation across cultures using machine learning
    1. Case Study: Cross-Cultural Segmentation in E-commerce
  4. Cross-cultural marketing with AI: Tailoring campaigns for diverse markets.
    1. Case Study: Coca-Cola’s “Share a Coke” Campaign – Cross-Cultural Marketing with AI
  5. Personalization strategies powered by recommender systems in international e-commerce
    1. Case Study: Amazon’s Personalization Strategies Powered by Recommender Systems in International E-Commerce
  6. Real-time sentiment analysis from global social media
    1. Case Study: Sentiment Analysis for a New Smartphone Launch
  7. Chatbots and virtual assistants in global customer service
    1. Case Study: Sephora's Use of Chatbots and Virtual Assistants in Global Customer Service
  8. “The Role of AI in Marketing” (Journal of International Marketing)

Online Student Master in International Business

The Subject “AI in International Marketing and Customer Insights” is included within the curriculum of the following academic programs at EENI Global Business School:

Postgraduate Certificate in Global Marketing.

Professional Certificate in Global Marketing and Internationalization

Masters: International Business, Foreign Trade, International Transport, Logistics in Africa, Business in Africa.

Masters in International Business and Foreign Trade (MIB AI)

Doctorate: World Trade, Global Logistics, African Business, Global Ethics, Religions, and International Business

Doctorate in International Business (DIB AI) Online

Languages: Masters, Doctorate, International Business, English or Study Master Doctorate in International Business in Spanish IA en marketing internacional Study Doctorate in International Business in French L'IA dans le marketing international Masters Foreign Trade in Portuguese IA em marketing internacional.


Key topics include:

  1. AI applications in market Segmentation, Targeting, and Positioning
  2. Cross-cultural consumer behavior analysis using AI tools (Cross-Cultural Management)
  3. Sentiment analysis, customer journey mapping, and personalization
  4. Ethical considerations and data privacy in AI-driven marketing
    1. Religion and ethical frameworks
  5. Case studies on global brands using AI for strategic advantage
  6. Cultural influence of religion in global business

By the end, students will be able to critically assess and apply AI tools to enhance International Marketing efforts and derive actionable insights from diverse and complex customer data sets.

  1. Standardization vs. Adaptation. Glocalization Strategies

(c) EENI Global Business School (1995-2025)
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