limitedDistribution · Industry Research
Future Trends in Supply Chain Management: Innovation, AI, Omnichannel Strategies, and Human-Centric Transformation
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.

The future of supply chain management is driven by AI, predictive analytics, and sustainability, integrating technology with human creativity for a competitive edge.
Executive Summary
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. 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.
Source: rsisinternational.org
Authors: Thakur Abhinav Amar, Ashok Kumar Mishra
Published: 2026-04-08
Original Article: https://rsisinternational.org/journals/ijrias/view/future-trends-in-supply-chain-management-innovation-ai-omnichannel-strategies-and-human-centric-transformation
More from the News Room
View allWe are publishing more related coverage here soon. Explore the full News Room for the latest articles.
See ROI in 12 weeks
See where enterprise data is slowing operations down.
Estimate the manual effort, delays, and leakage hidden across your current workflow before you automate it.