International Conference on

Procurement Processes in Engineering with Blockchain (ICPPEB-26)

Conference Date

30th Jul - 31st Jul 2026

Conference Venue

Las vegas, USA

Conference Mode

Hybrid Conference
Proudly organized by:- Science Leagues

"Join global experts in Procurement Processes in Engineering with Blockchain"

Registration Options

View all registration categories and choose the best fit.

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 8
SDG 8 Decent Work and Economic Growth
SDG 9
SDG 9 Industry, Innovation and Infrastructure
SDG 12
SDG 12 Responsible Consumption and Production
SDG 16
SDG 16 Peace, Justice and Strong Institutions
Track 01

Blockchain Innovations in Procurement Processes

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.

Track 02

Predictive Modeling Techniques for Procurement Optimization

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.

Track 03

Deep Learning Applications in Supply Chain Management

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.

Track 04

Anomaly Detection in Engineering Procurement Systems

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.

Track 05

Feature Extraction Techniques for Enhanced Procurement Analytics

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.

Track 06

Workflow Automation in Engineering Procurement

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

Track 07

System Monitoring and Predictive Maintenance in Procurement

This track examines the integration of system monitoring and predictive maintenance within procurement frameworks. Participants will discuss how these practices can reduce downtime and improve resource allocation.

Track 08

Risk Assessment Strategies in Blockchain-Enabled Procurement

This session focuses on risk assessment methodologies tailored for blockchain-enabled procurement processes. Experts will explore how to identify and mitigate risks associated with supply chain transactions.

Track 09

Resource Allocation Optimization through Blockchain

This track investigates the role of blockchain in optimizing resource allocation within engineering procurement. Participants will discuss innovative approaches that leverage blockchain for improved resource management.

Track 10

Smart Contracts in Engineering Procurement Processes

This session explores the implementation of smart contracts in engineering procurement processes. Attendees will analyze the benefits and challenges of using smart contracts to automate agreements and transactions.

Track 11

Asset Tracking Innovations Using Blockchain Technology

This track focuses on the advancements in asset tracking facilitated by blockchain technology. Participants will discuss how these innovations can enhance visibility and accountability in procurement processes.