Smart Supply Chain Ecosystems: Artificial Intelligence Enabled Integration of Planning, Execution, and Performance Management

Abstract

The rapid evolution of digital technologies has transformed traditional supply chain models into intelligent, interconnected ecosystems. This study investigated the role of Artificial Intelligence (AI) in enabling the integration of planning, execution, and performance management within smart supply chain ecosystems. A quantitative research design was employed to collect data from supply chain professionals across manufacturing and service sectors. Statistical analyses, including reliability testing, correlation, regression, and mediation analysis, were conducted to evaluate the relationships among AI-enabled planning, AI-enabled execution, AI-enabled performance management, and supply chain performance. The findings revealed that AI integration significantly improved forecasting accuracy, operational efficiency, responsiveness, and overall performance. AI-enabled execution emerged as the strongest direct predictor of supply chain performance, while AI-enabled performance management played a mediating role in strengthening the linkage between strategic planning and operational outcomes. The results emphasized that holistic AI integration across supply chain functions yielded greater performance benefits than isolated technological implementations. The study contributed to the theoretical advancement of smart supply chain ecosystem frameworks and provided practical insights for organizations seeking sustainable competitive advantage in volatile environments. The findings underscored the importance of ecosystem-level integration, governance mechanisms, and workforce readiness in maximizing AI-driven transformation.

References

Ali, A. A. A., Sharabati, A.-A. A., Alqurashi, D. R., & Shkeer, A. S. (2024). Impact of AI and supply chain collaboration on resilience. Uncertain Supply Chain Management, 12, 1801–1818. https://doi.org/10.5267/j.uscm.2024.1.004

Anumula, S. K., Krishnapillai, V., & Rai, D. K. (2025). Optimizing supply chain management with AI-powered predictive analytics. Journal of International Commercial Law and Technology, 6(1), 244–252. https://doi.org/10.61336/jiclt.25-01-20

Asif, M., Shah, H., & Asim, H. A. H. (2025). Cybersecurity and audit resilience in digital finance: Global insights and the Pakistani context. Journal of Asian Development Studies, 14(3), 560–573. https://doi.org/10.62345/jads.2025.14.3.47

Babai, M. Z., Arampatzis, M., Hasni, M., Lolli, F., & Tsadiras, A. (2024). On the use of machine learning in supply chain management: A systematic review. IMA Journal of Management Mathematics, 36(1), 21–49. https://doi.org/10.1093/imaman/dpae029

Bahroun, Z., Saihi, A., As'ad, R., & Tanash, M. (2025). A systematic analysis of generative artificial intelligence for supply chain transformation. Supply Chain Analytics, 13, Article 100188. https://doi.org/10.1016/j.sca.2025.100188

Bukhari, S. T., Rafiq-uz-Zaman, M., & Bano, S. (2025). Analysing the impact of education policies and their implementation on the school education system in Punjab, Pakistan. Inverge Journal of Social Sciences, 4(1), 98–110. https://doi.org/10.63544/ijss.v4i1.136

Culot, G., Podrecca, M., & Nassimbeni, G. (2024). Artificial intelligence in supply chain management: A systematic literature review of empirical studies and research directions. Computers in Industry, 162, Article 104132. https://doi.org/10.1016/j.compind.2024.104132

Daios, A. (2025). AI applications in supply chain management: A survey. Applied Sciences, 15(5), Article 2775. https://doi.org/10.3390/app15052775

Iseri, F., Iseri, H., Chrisandina, N. J., & colleagues. (2025). AI-based predictive analytics for enhancing data-driven supply chain optimization. Journal of Global Optimization. Advance online publication. https://doi.org/10.1007/s10898-025-01509-1

Jackson, I. (2024). Generative artificial intelligence in supply chain and operations management. International Journal of Production Research. Advance online publication. https://doi.org/10.1080/00207543.2024.2309309

Jones, J. (2025). Exploring the role of artificial intelligence in optimizing supply chain operations [Preprint]. Preprints.org. 

Jubair, H. (2025). The integration of artificial intelligence in supply chain management: A comprehensive review. ORGANIZE: Journal of Economics, Management and Finance, 4(1), 80–91. https://doi.org/10.58355/organize.v4i1.153

Kasih, E. W. K., Bernadi, B., & Yulianti, G. (2023). Exploring the impact of artificial intelligence on supply chain management performance: A scoping review. International Journal of Management, Accounting & Finance, 1(2), 188–XXX. https://doi.org/10.70142/kbijmaf.v1i2.188

Li, L., & colleagues. (2024). Generative AI-enabled supply chain management. International Journal of Production Economics, 267, Article 109XXX.

Pan, Y., Wang, X., & Ye, Q. (2024). Enhancing supply chain management through artificial intelligence: A case study of JD Logistics. Advances in Economics, Management and Political Sciences, 109, 1–8. https://doi.org/10.54254/2754-1169/109/2024BJ0127

Rafiq-uz-Zaman, M. (2022). Comparative analysis of skill-based education in developed and developing countries. Inverge Journal of Social Sciences, 1(2), 90–95. https://doi.org/10.63544/ijss.v1i2.204

Rafiq-uz-Zaman, M. (2023). The impact of digital literacy on students' learning outcomes: A comprehensive review. Inverge Journal of Social Sciences, 2(2), 194–205. https://doi.org/10.63544/ijss.v2i2.210

Rafiq-uz-Zaman, M. (2025a). Beyond the blackboards: Building a micro-Edtech economy through teacher-led innovation in low-income schools. Journal of Business Insight and Innovation, 4(1), 46–52. https://doi.org/10.5281/zenodo.16875721

Rafiq-uz-Zaman, M. (2025b). The integrated skill-based education framework (ISEF): An empirically grounded model for reforming skill-based education in Pakistan. Global Social Sciences Review, X(III), 157–167. https://doi.org/10.31703/gssr.2025(X-III).14

Rafiq-uz-Zaman, M. (2025c). Use of artificial intelligence in school management: A contemporary need of school education system in Punjab (Pakistan). Journal of Asian Development Studies, 14(2), 1984–2009. https://doi.org/10.62345/jads.2025.14.2.56

Ricci, M. (2025). Intelligent supply chain management: Leveraging AI for visibility, resilience, and sustainable Industry 5.0 operations. International Journal of Advance Scientific Research, 5(08), 45–52.

Samelius, A., & colleagues. (2025). Examining the integration of AI in supply chain management from Industry 4.0 to 6.0. Frontiers in Artificial Intelligence, 7, Article 1477044. https://doi.org/10.3389/frai.2024.1477044

Sheikh, A. A. (2025). AI-enabled digital technologies in supply chain management. RAMSS Journal.

Taha, A., Khawaja, S., Qureshi, F., & Wahsheh, F. R. (2025). Employing artificial intelligence to improve the supply chain's resilience and performance: Moderating the impact of supply chain dynamics. Problems and Perspectives in Management, 23(1), 741–752. https://doi.org/10.21511/ppm.23.1.2025.55

Teixeira, A. R. (2025). A systematic literature review on AI applications in supply chain management. Information, 16(5), Article 399. https://doi.org/10.3390/info16050399

Wang, G. (2025). Application of artificial intelligence in supply chain management: Empirical analysis of optimization and efficiency enhancement. Informatica, 49(37), Article 10873. https://doi.org/10.31449/inf.v49i37.10873

Zaman, J., Shoomal, A., Jahanbakht, M., & Ozay, D. (2025). Driving supply chain transformation with IoT and AI integration. IoT, 6(2), Article 21. https://doi.org/10.3390/iot6020021

Zheng, G. (2025). Enhancing supply chain visibility with generative AI. International Journal of Production Research. Advance online publication. https://doi.org/10.1080/00207543.2025.2543964