Author(s): Saeed Mousa
This study addresses the challenges manufacturing industry leaders face in incorporating AI technologies into their corporate plans. It delves into various methods for applying AI paradigms to develop innovative business platforms and environments within the manufacturing sector. By analyzing case studies and evaluating AI-based business models, the research explores the transformative potential of AI adoption, shedding light on its economic and societal impacts. The study emphasizes the importance of integrating AI into existing goods and service infrastructures, leveraging modern company structures and procedures as guides for the integration process. Data collection involved an open-ended questionnaire administered to European businesses, with participation from CEOs, operations managers, senior managers, service managers, and operation managers, totaling 50 individuals selected based on their expertise in integrating AI models into operational practices. The findings underscore the necessity for firms to strike a balance between technology and value, emphasizing the linkage between technical applications and potential customer values. Moreover, the study highlights the role of digitalization, including AI technology, in empowering organizational leaders to better promote products and services while identifying potential customer groups. By contributing to the body of knowledge on AI commercial frameworks in the manufacturing industry, this research enriches understanding and offers practical insights for driving innovation and growth through AI integration