Digital Transformation in Business and Commerce

Abstract

Digital transformation in business and commerce refers to the integration of technologies such as Artificial Intelligence (AI), cloud computing, Big Data, and the Internet of Things (IoT) into business operations. It improves efficiency, enhances customer experience, and supports global business growth. This study examines how data analysis and AI assist in better decision-making, while also exploring challenges such as cybersecurity risks, regulatory compliance, and resistance to change. The research uses methods including literature reviews, case studies, and quantitative analysis, supported by frameworks like the Technology Acceptance Model (TAM), Diffusion of Innovation Theory, and the TOE framework. Findings show that automation, AI tools, and cloud-based systems reduce costs, improve accuracy, and enable real-time decision-making. Businesses increasingly use CRM systems, chatbots, and predictive analytics to deliver personalized customer experiences. The study concludes that digital transformation is essential for business survival and long-term growth. Companies adopting scalable digital tools and data-driven strategies achieve improved productivity, operational efficiency, and customer satisfaction.