Machine Learning & Forecasting
Deep learning, time-series models, demand forecasting, and predictive analytics for logistics planning.
International · Peer-reviewed · Open access
Artificial intelligence for smarter logistics and transportation systems.
JAILT publishes rigorous original research, reviews, technical notes, and industrial case studies on artificial intelligence, machine learning, and optimization applied to logistics, supply chains, ports, and transportation systems.
✓ Transparent editorial workflow
✓ Double-anonymized review
✓ Author tracking portal
ISSN ISSN application in progress
DOI PREFIX Crossref DOI registration in progress
EST. 2026
LICENSE CC BY 4.0
Editor-in-ChiefDr. Rachid Oucheikh
Peer reviewDouble-anonymized peer review by independent subject experts
PublicationQuarterly with continuous online publication
Journal statusNew journal — indexing applications will be reported only after formal confirmation
Research library
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Latest Articles
Founding volume in preparation
Contribute to the founding volume of JAILT.
Submit original research on AI in logistics and transportation with clear scientific contribution, reproducible methods, and practical relevance.
Submit your researchAreas of interest
Read full aims and scope →
Aims & Scope
Supply Chain Optimization
Network design, inventory, routing, metaheuristics, and operations research for resilient supply chains.
Smart Ports & Maritime Logistics
Container-terminal operations, port performance, hinterland connections, and intelligent maritime transport.
Intelligent Transportation Systems
Traffic management, urban mobility, mobility-as-a-service, and connected transportation networks.
Autonomous Vehicles & Robotics
Self-driving systems, drones, automated guided vehicles, last-mile delivery, and warehouse robotics.
Digital Twins & Industry 4.0
Simulation, industrial IoT, blockchain for logistics, and cyber-physical systems for freight and production.
Journal governance
Meet the full board →
Editorial Leadership
Dr
Editor-in-Chief
Dr. Rachid Oucheikh
Deep learning · Artificial intelligence · Algorithms
Department of Physical Geography and Ecosystem Science, Lund University · SwedenProf
Associate Editor / International Advisory Board
Prof. Mouhsene Fri
Machine learning · Optimization · Transportation
Euromed Polytechnic School, Euromed Research Center, Euromed University of Fes (UEMF) · MoroccoProf
Associate Editor
Prof. Kaoutar Douaioui
Industrial engineering · Smart supply chains · Industry 4.0
École Nationale Supérieure d’Arts et Métiers (ENSAM), Laboratory of Intelligent Systems, Industrial and Mechanical Engineering (LISIME), Hassan II University of Casablanca · MoroccoDr
Advisory Board Member
Dr. Achraf Touil
Applied optimization · Supplier clustering · Industrial engineering
Laboratory of Engineering, Industrial Management and Innovation, Faculty of Sciences and Techniques, Hassan First University, Settat · MoroccoThematic collections
Browse all Special Issues →
Special Issues
01
Forthcoming
Machine Learning for Demand Forecasting and Supply Chain Resilience
Deep learning, time-series models, and decision support for forecasting, inventory, and resilient supply chain planning.
Submission deadline —
02
Forthcoming
Smart Ports, Maritime Logistics, and Autonomous Terminals
AI for container-terminal operations, port performance, hinterland connections, and intelligent maritime transport.
Submission deadline —
03
Forthcoming
Intelligent Transportation Systems and Urban Mobility
Machine learning for traffic management, connected and autonomous vehicles, public transport, and sustainable urban mobility.
Submission deadline —
Journal updates
Latest News
Call for founding submissions
JAILT welcomes original research, reviews, technical notes, and case studies on artificial intelligence applications in logistics, supply chains, and transportation.
Editorial board recruitment
Expressions of interest are welcomed from scholars working on artificial intelligence, logistics, supply chains, ports, and transportation systems.
Optional author support
Professional manuscript preparation services
Technical editing and formatting, academic English correction, and submission assistance are available through a transparent quotation process. Services are optional and entirely separate from peer review and acceptance.
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