Hybrid Conferencee

International Conference on Data Analytics in Logistics and Supply Chain (ICDALSC - 26)

16th - 17th November 2026 | Milan, Italy

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Conference Notifications:

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Milan. 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 Milan 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 Milan conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Milan, 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 Milan."
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 9
SDG 9 Industry, Innovation and Infrastructure
SDG 11
SDG 11 Sustainable Cities and Communities
SDG 12
SDG 12 Responsible Consumption and Production
Track 01

Innovations in Circular Economy Practices

This track explores the integration of circular economy principles within logistics and supply chain management. It emphasizes innovative practices that enhance resource efficiency and sustainability.

Track 02

Data-Driven Decision Support Systems

This session focuses on the development and implementation of data-driven decision support systems in logistics. Participants will discuss methodologies that leverage big data for improved operational metrics.

Track 03

Predictive Analytics in Supply Chain Management

This track examines the role of predictive analytics in enhancing supply chain visibility and performance. It will highlight case studies demonstrating successful applications of predictive models.

Track 04

Optimization Techniques for Logistics Operations

This session delves into advanced optimization techniques that streamline logistics operations. Topics include algorithmic approaches and their impact on efficiency and cost reduction.

Track 05

Real-Time Monitoring in Supply Chains

This track addresses the importance of real-time monitoring technologies in supply chain management. Discussions will focus on tools and strategies that enhance responsiveness and agility.

Track 06

AI Applications in Logistics and Supply Chain

This session investigates the transformative impact of artificial intelligence on logistics and supply chain processes. Participants will explore AI-driven solutions for operational challenges.

Track 07

Enhancing Resource Efficiency through Data Analytics

This track focuses on leveraging data analytics to improve resource efficiency in logistics. It will cover techniques for measuring and optimizing resource utilization.

Track 08

Process Improvement Strategies in Supply Chains

This session highlights strategies for continuous process improvement within supply chains. Emphasis will be placed on methodologies that utilize data analytics for performance enhancement.

Track 09

Supply Chain Visibility and Transparency

This track discusses the critical role of visibility and transparency in modern supply chains. Participants will share insights on technologies and practices that foster greater supply chain clarity.

Track 10

Big Data Analytics for Logistics Optimization

This session explores the application of big data analytics in optimizing logistics operations. Case studies will illustrate the benefits of data-driven insights in decision-making.

Track 11

Operational Metrics for Supply Chain Success

This track focuses on identifying and utilizing key operational metrics to drive supply chain success. Discussions will include best practices for metric selection and performance evaluation.