Future Trends in Supply Chain Management: Innovation, AI, Omnichannel Strategies, and Human-Centric Transformation

Abstract

The evolution of supply chain management (SCM) is accelerating toward a human-centric, technology-driven paradigm - Supply Chain 5.0 shaped by artificial intelligence (AI), predictive analytics, and sustainability imperatives. This review synthesizes contemporary research across five key areas: future trends, innovation and analytics, omnichannel retailing, adaptive models, and AI-driven service ecosystems. ~~It explores how digital twins, blockchain, and big data enable predictive, resilient, and transparent networks, while IoT and automation redefine logistics and last-mile delivery. Adopting a systematic literature review methodology guided by the PRISMA framework, this study critically evaluates 49 peer-reviewed sources to explore how digital twins, blockchain, and big data enable predictive, resilient, and transparent networks, while IoT and automation redefine logistics and last-mile delivery. The paper further highlights the strategic role of generative AI in decision-making and personalization in hospitality and tourism. Critical challenges such as data privacy, workforce skills, and ethical AI governance are discussed, along with future research directions for interdisciplinary collaboration. A unified conceptual framework is proposed to integrate the five thematic areas, revealing that technological adoption alone is insufficient without corresponding investments in human capital and ethical governance. The findings underscore that next-generation supply chains must integrate technology, sustainability, human creativity, and adaptive intelligence to deliver competitive advantage and societal value in an increasingly complex and volatile global environment.