American Journal of Advanced Multidisciplinary Research and Innovation

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Intelligent Procurement Systems: Using Predictive Analytics to Improve Transparency, Efficiency and Supply Resilience

Author(s) Roland Wilhelm
Country United States
Abstract Procurement has evolved from a primarily transactional business function into a strategic capability that influences organisational efficiency, cost management, supplier relationships and supply-chain resilience. The increasing availability of enterprise data, cloud platforms, artificial intelligence and predictive analytics provides organisations with opportunities to redesign procurement processes around data-driven decision-making. This paper examines the role of intelligent procurement systems in improving procurement transparency, operational efficiency and supply resilience. It explores how predictive analytics can be applied to demand forecasting, supplier-risk assessment, price prediction, inventory planning, contract management and disruption detection. A conceptual framework is proposed that integrates procurement data, predictive analytics, intelligent decision support, supplier intelligence and organisational governance. The framework emphasises the transition from reactive procurement to proactive and predictive procurement. Predictive systems can identify potential supply disruptions, forecast purchasing requirements, detect anomalous transactions and support supplier evaluation before risks materialise. However, successful implementation depends on data quality, system interoperability, employee capabilities, cybersecurity, explainability and appropriate governance. The paper argues that intelligent procurement should not replace human procurement professionals but should augment their decision-making capabilities by providing timely evidence and predictive insights. The study concludes that organisations can strengthen procurement performance by combining predictive technologies with transparent governance, supplier collaboration, scenario planning and continuous monitoring.
Keywords : Intelligent Procurement, Predictive Analytics, Procurement Management, Supply Chain Resilience, Supplier Risk, Artificial Intelligence, Transparency, Data Analytics, Digital Procurement, Supply Chain Management.
Field Engineering
Published In Volume 7, Issue 6, November-December 2025
Published On 2025-12-30
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