Artificial intelligence (AI) has become a prominent topic in the logistics and supply chain industry, particularly in the context of smart warehousing. The application of AI in logistics warehousing can offer numerous benefits, including cost reduction, enhanced efficiency, and improved decision-making. The concept of "Halal warehouses" has emerged as a unique application of AI in the logistics sector, where the integration of AI-powered systems can play a crucial role in ensuring the efficient and compliant storage, handling, and distribution of Halal products. This research paper proposed a conceptual framework that aims to organize and explain the dynamics of AI implementation in a halal warehouse, providing guidance to academics, practitioners, and decision-makers. It serves as a navigational tool for empirical research, identifying key components of AI technology that can improve halal warehouse performance. The framework aims to address fundamental questions surrounding the effectiveness of AI in halal warehouses, identifying crucial factors for positive outcomes.