AI-DRIVEN PERSONALIZED MARKETING AND CONSUMER TRUST IN PAKISTAN’S DIGITAL RETAIL ECOSYSTEM

Abstract

The rapid growth of digital retail ecosystems has intensified the adoption of artificial intelligence (AI)-driven personalized marketing as a strategic tool to enhance consumer engagement and competitiveness. This study examines the impact of AI-driven personalized marketing on consumer trust within Pakistan’s digital retail ecosystem. Grounded in trust and consumer behavior theories, the study employed a quantitative cross-sectional design using survey data collected from online consumers with experience in e-commerce platforms. The analysis was conducted using statistical techniques including correlation, regression, and structural equation modeling to evaluate direct, mediating, and moderating relationships among variables. The findings revealed that AI-driven personalized marketing significantly enhances consumer trust, primarily through perceived relevance and customer satisfaction. However, privacy concerns negatively affect trust formation, while algorithm transparency strengthens the relationship between AI personalization and trust. The results further indicate that consumer trust plays a critical role in shaping purchase intention and long-term engagement in digital retail environments. The study concludes that while AI technologies improve marketing effectiveness and consumer experience, their success depends on ethical implementation, transparency, and robust data governance mechanisms. The research provides valuable insights for policymakers, marketers, and digital platform developers aiming to build trustworthy and sustainable AI-enabled retail ecosystems in Pakistan.