TECHNOLOGICAL ADVANCEMENTS IN WAREHOUSING AND THEIR IMPLICATIONS FOR SUSTAINABLE LOGISTICS TRANSFORMATION
DOI:
https://doi.org/10.35631/JISTM.1041019Keywords:
Warehouse, Technologies, Logistics, Artificial intelligence, AutomationAbstract
The rapid advancement of warehouse technologies has significantly transformed logistics operations, positioning warehouses as strategic hubs that enable efficiency, resilience, and sustainability across global supply chains. Emerging innovations such as automation, robotics, artificial intelligence, the Internet of Things, blockchain, and digital twins are reshaping how firms manage inventory, process orders, and respond to dynamic market demands. This paper provides a comprehensive examination of these technologies by reviewing recent literature, identifying current challenges, and discussing their implications for logistics transformation. The analysis highlights five major challenges: high capital costs and uncertain returns on investment, integration difficulties and lack of interoperability, cybersecurity vulnerabilities and data governance issues, workforce displacement and skills gaps, and sustainability trade-offs in environmental and regulatory contexts. To address these issues, the study offers practical suggestions including collaborative investment models, modular integration approaches, layered cybersecurity strategies, inclusive workforce reskilling programs, harmonisation of global regulatory frameworks, and embedding sustainability into adoption strategies. The discussion underscores that warehouse digitalisation is not merely a technical upgrade but a multifaceted organisational transformation that requires alignment of financial, technological, social, and environmental considerations. By synthesising evidence from academic research and industry practice, this study contributes to the discourse on sustainable logistics and provides actionable pathways for firms, policymakers, and researchers. The findings suggest that the future of warehousing lies in creating resilient, intelligent, and sustainable systems that balance efficiency with inclusivity and environmental responsibility.
