This track explores the latest advancements in blockchain technology and its application in procurement processes within engineering. Participants will discuss case studies and innovative solutions that enhance transparency and efficiency.

This session focuses on the application of predictive modeling techniques to optimize procurement processes in engineering. Attendees will examine various methodologies, including supervised and unsupervised learning, to enhance decision-making.

This track delves into the role of deep learning in improving supply chain management through enhanced data analysis and forecasting. Researchers will present findings on how deep learning can streamline procurement workflows.

This session addresses the challenges of anomaly detection in procurement systems using blockchain technology. Participants will share insights on identifying irregularities and ensuring system integrity.

This track focuses on advanced feature extraction techniques that improve the analytics capabilities of procurement processes. Discussions will center on methodologies that facilitate better data interpretation and decision-making.

This session highlights the importance of workflow automation in optimizing procurement processes. Experts will present strategies for integrating automation technologies to enhance operational efficiency.