Artificial intelligence (AI) is fundamentally transforming the marketing landscape, enabling significant progress in customer engagement, personalization, and operational efficiency. The retail sector has been at the forefront of the AI revolution, adopting AI technologies extensively to transform consumer interactions, supply chain management, and business performance. Given its early adoption of AI, the retail industry serves as an essential case context for investigating the broader implications of AI for consumer behavior. Drawing on 404 articles published between 2000 and 2023, this study presents a comprehensive bibliometric and content analysis of AI applications in retail marketing. The analysis used VOSviewer (1.6.20.0 version) and Bibliometrix (version 4.3.1) to identify important contributors, top institutions, and key publication sources. Co-occurrence keyword and co-citation analyses were used to map intellectual networks and highlight emerging themes. Additionally, a focused content analysis of 50 recent articles was selected based on their relevance, timeliness, and citation influence. It revealed six primary research streams: (1) consumer behavior, (2) AI in retail marketing, (3) business performance, (4) sustainability, (5) supply chain management, and (6) trust. These streams were categorized through thematic relevance and theoretical significance, emphasizing AI’s impact on the retail sector. The contributions of this study are twofold. Theoretically, it integrates existing research on AI in retail marketing and outlines future research in areas such as AI’s role in the domain of consumer behavior. From an empirical standpoint, the study highlights how AI can be applied to enhance customer experiences and improve business operations.

The chapter looks at the challenges of microfinance governance, namely how to balance the interests of the poor with neoliberal governmentality, poverty rates, and Bangladesh’s unique challenges. The study closes the information gap regarding the impact of microfinance governance systems on poverty alleviation, financial performance, sustainability, and social effects. The literature evaluation covers the Impact of COVID-19 and climatic shocks on rural welfare, MFI financial sustainability, and microfinance empowerment. A qualitative and quantitative analysis of secondary data from MFI annual reports, publications from the Microcredit Regulatory Authority, and relevant literature is done using Porter’s Competitive Strategy Theory. The research found that MFIs need inclusive governance with stakeholder viewpoints to fight poverty and improve social responsibility. It reveals Bangladeshi MFIs have decreased poverty and increased financial inclusion, but more strategic governance improvements are required for optimum benefit. MFIs should reduce borrowing and budget deficits, combine Qardhasan and Zakat, and prioritize income-generating activities before lending. This study shows how governance affects MFI performance and emphasizes the necessity for strategic adjustments to eliminate poverty and social inequity. The research found that Bangladeshi MFIs must balance poverty alleviation and financial viability. Future laws should protect microfinance’s goals from profit maximization.