@article{Syed_2025, title={Digital Transformation in Procurement and Supply Chain Management: Leveraging AI, IoT, and Data Analytics for Operational Resilience}, volume={9}, url={http://dx.doi.org/10.22161/ijebm.9.4.3}, DOI={10.22161/ijebm.9.4.3}, abstractNote={<jats:p>In that regard, the digital transformation has proved to be a strategic requirement in the resilience and competitiveness in the procurement and supply chain management. The subsequent study is targeted at exploring the possibility of AI, IoT, and data analytics as a system to enable organizations create agile, transparent, and efficient supply networks that can be resilient in nature. The paper discloses the results of the qualitative and exploratory research, which is grounded on the publications indexed in 2015-2025 in Scopus on how such technologies can ensure operational resilience based on predictive analytics, real-time visibility, and informed decisions. Applications of technological integration in the real world are: Unilever artificial intelligence (AI) demand forecasting, smart containers with IoT at Maersk, Digital Factory at Siemens and Watson Supply Chain at IBM. The most striking information was that the implementation of AI has been accelerating remarkably over the recent past as an embodiment of the shift to the proactive supply chain strategy. There are still the barriers to interoperability, cybersecurity, and the absence of digital competence.</jats:p>}, number={4}, journal={International Journal of Engineering, Business and Management}, publisher={AI Publications}, author={Syed, Samir Ali}, year={2025}, pages={17–25} }