Industry Trend Analysis on AI-Powered Technologies for Global E-Commerce
Analyzing the use of AI – powered technologies to transform customer experience in the global e-commerce industry – Amazon and Netflix
Project Overview: A collaborative project in fulfillment of Msc. International Marketing Strategy program focused on Amazon and Netflix, exploring how AI-powered technologies and machine learning strategies can enhance customer experience and drive sales in the global e-commerce industry.
Challenge
To improve customer engagement through AI-driven personalization while addressing concerns around algorithmic biases and cybersecurity threats.
Solution
- Analyzed the impact of AI-powered recommender systems and personalization algorithms in boosting engagement and customer retention.
- Explored the use of Alexa for voice-activated purchasing and augmented reality (AR) features for product trials.
Impact
- Personalized recommendations on how to effectively gain consumer buy-in to help improve customer satisfaction and the potential to increase sales by 20% for Amazon.
- A potential 15% boost in user retention for Netflix by implementing data privacy guarantee commitment and contracts, addressing algorithmic bias and developing methodologies to keep up with the evolving consumer preferences
Tools Used
- AI & Machine Learning Models
- Recommender Systems (Netflix, Amazon)
- SPSS, Tableau and SQL
Skills Highlighted
- Market Research & Industry Trend Analysis
- Market Intelligence & Customer Insights Analysis
- Team Leadership
- Business Processes Analysis
- Customer Insights Analysis
Lesson Learned
The integration of AI technologies in customer experience enhances personalization but requires continuous monitoring to avoid algorithmic biases.
Conclusion
The project demonstrated how AI can revolutionize global e-commerce by creating tailored customer experiences that drive sales growth and improve customer loyalty.