Hybrid Conferencee

International Conference on Data Analytics in Supply Chain Optimization (ICDASCO - 26)

4th - 5th November 2026 | Naples, Italy

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Naples. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Naples event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Naples conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Naples, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Naples."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

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 11
SDG 11 Sustainable Cities and Communities
Track 01

Advancements in Supply Chain Analytics

This track focuses on the latest methodologies and technologies in supply chain analytics. Researchers are encouraged to present innovative approaches that enhance decision-making processes and operational efficiency.

Track 02

Predictive Modeling in Supply Chain Management

This session will explore the application of predictive modeling techniques to forecast demand and optimize inventory levels. Contributions should highlight case studies and empirical research demonstrating the effectiveness of these models.

Track 03

Logistics Analytics and Transportation Optimization

This track aims to address the challenges and solutions in logistics analytics, emphasizing transportation optimization strategies. Papers should discuss the integration of analytics in improving logistics performance and reducing costs.

Track 04

Big Data Applications in Supply Chain

This session will delve into the role of big data in transforming supply chain operations. Participants are invited to share insights on data-driven strategies that enhance supplier performance and risk management.

Track 05

Machine Learning Techniques for Supply Chain Optimization

This track will showcase the application of machine learning algorithms in optimizing various aspects of the supply chain. Researchers are encouraged to present novel applications that demonstrate significant improvements in efficiency and effectiveness.

Track 06

Decision Support Systems in Supply Chain Management

This session will focus on the development and implementation of decision support systems tailored for supply chain management. Papers should explore how these systems facilitate better decision-making through data visualization and analytics.

Track 07

Inventory Management Strategies Leveraging Analytics

This track examines innovative inventory management strategies that utilize analytics for improved accuracy and efficiency. Contributions should highlight the impact of data-driven approaches on inventory turnover and service levels.

Track 08

Real-Time Analytics in Supply Chain Operations

This session will explore the significance of real-time analytics in enhancing supply chain responsiveness and agility. Researchers are invited to discuss technologies and frameworks that enable real-time data processing and decision-making.

Track 09

IoT Analytics and Supply Chain Integration

This track focuses on the intersection of IoT analytics and supply chain integration. Papers should address how IoT data can be leveraged to optimize supply chain processes and improve overall operational performance.

Track 10

Cloud Integration in Supply Chain Analytics

This session will explore the role of cloud computing in facilitating advanced supply chain analytics. Contributions should discuss the benefits and challenges of cloud integration for data management and analytics capabilities.

Track 11

Business Intelligence in Supply Chain Optimization

This track aims to highlight the importance of business intelligence tools in supply chain optimization. Researchers are encouraged to present studies that demonstrate how business intelligence can drive strategic decisions and enhance supply chain performance.