While artificial intelligence (AI) offers transformative potential for logistics and operations management, the organisational dimensions of its adoption, including strategic alignment, human capital

The gap

Consensus across the literature

Supporting evidence — 4 representative gaps

• A Study on Role of AI in Strengthening India's Digital Trade Ecosystem (2026) · doi

  • The study is primarily based on secondary data and survey responses, which may not fully capture the complexity of AI implementation at an enterprise level. • Rapid advancements in AI technology mean that findings may evolve quickly as the sector progresses. • The sample of respondents is drawn from urban commercial centres and may not represent rural traders and micro-enterprises. III. RESEARCH METHODOLOGY

  Keywords: primarily based secondary survey responses fully capture complexity implementation enterprise level rapid advancements technology mean
• A Study on Role of AI in Strengthening India's Digital Trade Ecosystem (2026) · doi

  engines are the most widely deployed AI applications in Indian digital trade. • AI-powered customs automation has demonstrably reduced clearance time and improved compliance accuracy at major Indian ports. • Supply chain and logistics companies using AI report measurable improvements in delivery efficiency and inventory management. • Lack of AI awareness, high implementation costs, and data infrastructure gaps are the primary barriers to broader adoption among smaller trade businesses.

  Keywords: indian trade engines widely deployed applications digital powered customs automation demonstrably reduced clearance time improved
• Unveiling the AI–SCM Nexus: A Bibliometric and PRISMA-Based Review of Trends, Technologies, and Future Directions (2021–2025) (2026) · doi

  Additionally, the limited focus on SMEs and cross-sectoral applications calls for targeted studies that examine AI integration in smaller firms and across different industries, while further research is needed to explore data quality, algorithm design, and human–AI interaction in shaping effective decision-making in supply chains.

  Keywords: additionally limited focus smes cross sectoral applications calls targeted examine integration smaller firms across different
• AI-Driven Demand Planning: A Systematic Review of Adoption, Barriers and Strategic Implications (2026) · doi

  While artificial intelligence (AI) offers transformative potential for logistics and operations management, the organisational dimensions of its adoption, including strategic alignment, human capital development, and change management, remain insufficiently synthesised in the literature.

  Keywords: management artificial intelligence offers transformative potential logistics operations organisational dimensions adoption including strategic alignment human