Digital Logistics Tools Course
Why this course?
Learn to optimize your supply chain with our Digital Logistics Tools course.
Master the technological solutions that are revolutionizing the sector and take your logistics management to the next level. Discover how to reduce costs, increase efficiency, and improve customer satisfaction through the strategic use of software and digital platforms. This program will provide you with the skills needed to implement and manage Warehouse Management Systems (WMS), Transportation Management Systems (TMS), and data analytics tools for informed decision-making.
Master the technological solutions that are revolutionizing the sector and take your logistics management to the next level.
Differentiating Advantages
- Practical Application: Real-world case studies and hands-on exercises with market-leading tools.
- Comprehensive View: From demand planning to the last mile, covering all stages of the supply chain.
- Adaptability: Learn to select and implement the right tools for your company’s specific needs.
- Expert Instructors: Trainers with extensive experience implementing digital solutions in the logistics sector.
- Networking: Opportunity to connect with other professionals in the sector and expand your network.
- Modality: Online
- Level: Cursos
- Hours: 150 H
- Start date: 24-10-2026
Availability: 1 in stock
Who is it aimed at?
- Logistics professionals looking to optimize processes, reduce costs, and improve efficiency in the supply chain.
- Warehouse and distribution managers interested in implementing digital solutions for inventory control and shipment management.
- Data analysts and consultants who need to master tools for data-driven decision-making in the logistics sector.
- Entrepreneurs and startups looking to digitize their logistics operations and gain a competitive edge in the market.
- Students and recent graduates in logistics, management, or engineering who want to acquire practical skills in using digital tools.
Learning flexibility
Adapted to Your pace: accessible content 24/7, practical exercises and consultation forum to resolve your doubts.
Objectives and competencies
Optimize inventory and storage management:
Implement an ABC stock control system, optimizing spaces and reducing costs through proper rotation and location of merchandise.
Implement real-time shipment tracking systems:
Integrate data from GPS, IoT sensors, and logistics platforms, visualizing the location and status of the shipment in an intuitive interface and proactively managing alerts for deviations or incidents.
Automate communication and coordination between the different actors in the supply chain:
Implement integrated supply chain management (SCM) platforms with APIs for real-time data exchange between suppliers, manufacturers, distributors, and customers, managing exceptions through automatic alerts and predefined workflows.
Analyze logistics data to identify inefficiencies and opportunities for improvement:
Implement visualization and analysis tools (dashboards, KPIs) to monitor logistics performance in real time and facilitate proactive decision-making, identifying bottlenecks, optimizing routes and reducing costs.
Use specialized software for fleet and transport management:
“Efficiently, by configuring parameters, monitoring data in real time, and generating reports for route optimization and preventive maintenance.”
Integrate digital solutions for route optimization and reduction of operating costs:
“Implement fleet management software and data analytics to identify inefficiencies and opportunities for improvement in real time, proactively adjusting routes and operational strategies.”
Curriculum - Modules
- Comprehensive Maritime Incident Management: protocols, roles, and chain of command for coordinated response
- Operational Planning and Execution: briefing, routes, weather windows, and go/no-go criteria
- Rapid Risk Assessment: criticality matrix, scene control, and decision-making under pressure
- Operational Communication: VHF/GMDSS, standardized reports, and inter-agency liaison
- Tactical Mobility and Safe Boarding: RHIB maneuvers, approach, mooring, and recovery
- Equipment and Technologies: PPE, signaling, satellite tracking, and field data logging
- Immediate Care of the Affected: primary assessment, hypothermia, trauma, and stabilization for evacuation
- Adverse Environmental Conditions: swell, Visibility, flows, and operational mitigation
Simulation and training: critical scenarios, use of VR/AR, and exercises with performance metrics
Documentation and continuous improvement: lessons learned, indicators (MTTA/MTTR), and SOP updates
- Introduction to Digital Transformation in Logistics: Key Concepts and Trends
- Warehouse Management Software (WMS): Functionalities, Implementation, and Optimization
- Transportation Management Systems (TMS): Planning, Execution, and Control of Transportation
- Route and Distribution Optimization: Algorithms, Software, and Best Practices
- Internet of Things (IoT) in Logistics: Sensors, Tracking, and Real-Time Monitoring
- Big Data and Predictive Analytics: Data Analysis for Improving Logistics Efficiency
- Warehouse Automation: Robots, AGVs, and Automated Picking Systems
- Blockchain in the Supply Chain Supply Chain: Traceability, security, and transparency.
Artificial Intelligence (AI) in Logistics: Demand forecasting, inventory optimization, and chatbots.
Cybersecurity in Digital Logistics: Data and systems protection.
‘
- Introduction to Logistics 4.0: Key Concepts and Evolution
- Enabling Technologies: IoT, Big Data, Cloud Computing, AI, Blockchain
- Sensors and Actuators: Types, Applications in the Supply Chain, Integration
- Data Integration and Management Platforms: Next-Generation ERPs, TMS, WMS
- Cybersecurity in Logistics 4.0: Threats, Vulnerabilities, and Protection Strategies
- Automation and Robotics: Smart Warehouses, Autonomous Vehicles, Drones
- Supply Chain Visibility: Real-Time Monitoring, Dashboards
- Predictive Analytics and Machine Learning: Route Optimization, Inventory Management, Forecasting demand
- Digital Twins: Simulation and optimization of logistics processes
- Success stories and future trends: Practical applications, challenges, and opportunities
‘
- Introduction to Logistics 4.0: Concepts, history, and evolution.
- Disruptive Technologies in the Supply Chain: IoT, Big Data, AI, Blockchain, Cloud Computing.
- Digitalization of Logistics Processes: Warehousing, transportation, distribution, and inventory management.
- Real-Time Data Analysis: KPIs, dashboards, and informed decision-making.
- Automation and Robotics in Logistics: AGVs, drones, automated picking systems.
- Cybersecurity in Logistics 4.0: Data protection, attack prevention, and business continuity.
- Advanced Warehouse Management Systems (WMS): Optimization of space, flows, and processes.
- Intelligent and Connected Transportation: TMS, route optimization, real-time tracking, and fleet management.
- Blockchain in the Supply Chain: Traceability, transparency, security, and efficiency.
- Success Stories and Future Trends in Logistics 4.0.
‘
- Introduction to Supply Chain Digitalization: Key Concepts and Benefits.
- Enabling Technologies: IoT, Big Data, AI, Blockchain, Cloud Computing.
- Real-Time Visibility: Sensors, GPS Tracking, Monitoring Platforms.
- Integrated Digital Planning: Demand Forecasting, Inventory Optimization, Digital S&OP.
- Intelligent Warehouse Management: WMS, Automation, Robotics in Logistics.
- Digital Transportation and Distribution: TMS, Route Optimization, Connected Fleet Management.
- Digital Collaboration with Suppliers: Supplier Portals, EDI Data Exchange, Smart Contract Management.
- Data Analytics and Reporting: Key KPIs, dashboards, predictive reports.
Cybersecurity in the Digital Supply Chain: Threats, data protection, regulatory compliance.
Implementation and Adoption of Digitalization: Strategy, change management, staff training.
‘
- System Architecture and Components: Structural design, materials, and subsystems (mechanical, electrical, electronic, and fluid) with selection and assembly criteria for marine environments
- Fundamentals and Principles of Operation: Physical and engineering foundations (thermodynamics, fluid mechanics, electricity, control, and materials) that explain performance and operating limits
- Safety and Environmental (SHE): Risk analysis, PPE, LOTO, hazardous atmospheres, spill and waste management, and emergency response plans
- Applicable Regulations and Standards: IMO/ISO/IEC requirements and local regulations;
- Conformance criteria, certification, and best practices for operation and maintenance
- Inspection, testing, and diagnostics: Visual/dimensional inspection, functional testing, data analysis, and predictive techniques (vibration, thermography, fluid analysis) to identify root causes
- Preventive and predictive maintenance: Hourly/cycle/seasonal plans, lubrication, adjustments, calibrations, consumable replacement, post-service verification, and operational reliability
- Instrumentation, tools, and metrology: Measuring and testing equipment, diagnostic software, calibration and traceability; selection criteria, safe use, and storage
- Onboard integration and interfaces: Mechanical, electrical, fluid, and data compatibility; Sealing and watertightness, EMC/EMI, corrosion protection, and interoperability testing.
Quality, acceptance testing, and commissioning: process and materials control, FAT/SAT, bench and sea trials, go/no-go criteria, and evidence documentation.
Technical documentation and integrated practice: logs, checklists, reports, and a complete case study (safety → diagnosis → intervention → verification → report) applicable to any system.
Plan de estudio - Módulos
- Comprehensive Maritime Incident Management: protocols, roles, and chain of command for coordinated response
- Operational Planning and Execution: briefing, routes, weather windows, and go/no-go criteria
- Rapid Risk Assessment: criticality matrix, scene control, and decision-making under pressure
- Operational Communication: VHF/GMDSS, standardized reports, and inter-agency liaison
- Tactical Mobility and Safe Boarding: RHIB maneuvers, approach, mooring, and recovery
- Equipment and Technologies: PPE, signaling, satellite tracking, and field data logging
- Immediate Care of the Affected: primary assessment, hypothermia, trauma, and stabilization for evacuation
- Adverse Environmental Conditions: swell, Visibility, flows, and operational mitigation
Simulation and training: critical scenarios, use of VR/AR, and exercises with performance metrics
Documentation and continuous improvement: lessons learned, indicators (MTTA/MTTR), and SOP updates
- Introduction to Digital Transformation in Logistics: Key Concepts and Trends
- Warehouse Management Software (WMS): Functionalities, Implementation, and Optimization
- Transportation Management Systems (TMS): Planning, Execution, and Control of Transportation
- Route and Distribution Optimization: Algorithms, Software, and Best Practices
- Internet of Things (IoT) in Logistics: Sensors, Tracking, and Real-Time Monitoring
- Big Data and Predictive Analytics: Data Analysis for Improving Logistics Efficiency
- Warehouse Automation: Robots, AGVs, and Automated Picking Systems
- Blockchain in the Supply Chain Supply Chain: Traceability, security, and transparency.
Artificial Intelligence (AI) in Logistics: Demand forecasting, inventory optimization, and chatbots.
Cybersecurity in Digital Logistics: Data and systems protection.
‘
- Introduction to Logistics 4.0: Key Concepts and Evolution
- Enabling Technologies: IoT, Big Data, Cloud Computing, AI, Blockchain
- Sensors and Actuators: Types, Applications in the Supply Chain, Integration
- Data Integration and Management Platforms: Next-Generation ERPs, TMS, WMS
- Cybersecurity in Logistics 4.0: Threats, Vulnerabilities, and Protection Strategies
- Automation and Robotics: Smart Warehouses, Autonomous Vehicles, Drones
- Supply Chain Visibility: Real-Time Monitoring, Dashboards
- Predictive Analytics and Machine Learning: Route Optimization, Inventory Management, Forecasting demand
- Digital Twins: Simulation and optimization of logistics processes
- Success stories and future trends: Practical applications, challenges, and opportunities
‘
- Introduction to Logistics 4.0: Concepts, history, and evolution.
- Disruptive Technologies in the Supply Chain: IoT, Big Data, AI, Blockchain, Cloud Computing.
- Digitalization of Logistics Processes: Warehousing, transportation, distribution, and inventory management.
- Real-Time Data Analysis: KPIs, dashboards, and informed decision-making.
- Automation and Robotics in Logistics: AGVs, drones, automated picking systems.
- Cybersecurity in Logistics 4.0: Data protection, attack prevention, and business continuity.
- Advanced Warehouse Management Systems (WMS): Optimization of space, flows, and processes.
- Intelligent and Connected Transportation: TMS, route optimization, real-time tracking, and fleet management.
- Blockchain in the Supply Chain: Traceability, transparency, security, and efficiency.
- Success Stories and Future Trends in Logistics 4.0.
‘
- Introduction to Supply Chain Digitalization: Key Concepts and Benefits.
- Enabling Technologies: IoT, Big Data, AI, Blockchain, Cloud Computing.
- Real-Time Visibility: Sensors, GPS Tracking, Monitoring Platforms.
- Integrated Digital Planning: Demand Forecasting, Inventory Optimization, Digital S&OP.
- Intelligent Warehouse Management: WMS, Automation, Robotics in Logistics.
- Digital Transportation and Distribution: TMS, Route Optimization, Connected Fleet Management.
- Digital Collaboration with Suppliers: Supplier Portals, EDI Data Exchange, Smart Contract Management.
- Data Analytics and Reporting: Key KPIs, dashboards, predictive reports.
Cybersecurity in the Digital Supply Chain: Threats, data protection, regulatory compliance.
Implementation and Adoption of Digitalization: Strategy, change management, staff training.
‘
- System Architecture and Components: Structural design, materials, and subsystems (mechanical, electrical, electronic, and fluid) with selection and assembly criteria for marine environments
- Fundamentals and Principles of Operation: Physical and engineering foundations (thermodynamics, fluid mechanics, electricity, control, and materials) that explain performance and operating limits
- Safety and Environmental (SHE): Risk analysis, PPE, LOTO, hazardous atmospheres, spill and waste management, and emergency response plans
- Applicable Regulations and Standards: IMO/ISO/IEC requirements and local regulations;
- Conformance criteria, certification, and best practices for operation and maintenance
- Inspection, testing, and diagnostics: Visual/dimensional inspection, functional testing, data analysis, and predictive techniques (vibration, thermography, fluid analysis) to identify root causes
- Preventive and predictive maintenance: Hourly/cycle/seasonal plans, lubrication, adjustments, calibrations, consumable replacement, post-service verification, and operational reliability
- Instrumentation, tools, and metrology: Measuring and testing equipment, diagnostic software, calibration and traceability; selection criteria, safe use, and storage
- Onboard integration and interfaces: Mechanical, electrical, fluid, and data compatibility; Sealing and watertightness, EMC/EMI, corrosion protection, and interoperability testing.
Quality, acceptance testing, and commissioning: process and materials control, FAT/SAT, bench and sea trials, go/no-go criteria, and evidence documentation.
Technical documentation and integrated practice: logs, checklists, reports, and a complete case study (safety → diagnosis → intervention → verification → report) applicable to any system.
- Introduction to Logistics 4.0: Key concepts, evolution, and trends.
- Enabling Technologies: IoT, Big Data, AI, Blockchain, and Cloud Computing in logistics.
- Supply Chain Visibility: Sensors, platforms, and real-time tracking tools.
- Route and Fleet Optimization: Algorithms, management software, and advanced telematics.
- Smart Warehouses: Automation, robotics, warehouse management systems (WMS), and layout optimization.
- Predictive Inventory Management: Data analytics, machine learning, and cost reduction.
- Autonomous Transportation: Drones, autonomous vehicles, and their impact on logistics.
- Cybersecurity in the Logistics: Data protection, attack prevention, and contingency plans.
Logistics Data Analysis and KPIs: Key metrics, data visualization, and decision-making.
Success stories and practical applications of Logistics 4.0 in different industries.
‘
- Fundamentals of Logistics 4.0: Key concepts, evolution, and technological disruption.
- Big Data and Predictive Analytics: Collection, processing, and analysis of logistics data for decision-making.
- Internet of Things (IoT) in Logistics: Sensors, connected devices, and their application in the supply chain.
- Artificial Intelligence (AI) and Machine Learning: Algorithms, automation, and optimization of logistics processes.
- Blockchain in the Supply Chain: Traceability, security, and transparency in logistics transactions.
- Robotics and Warehouse Automation: Collaborative robots, automated systems, and optimization of picking and packing.
- Digital Twins (Digital Twins in Logistics: Process simulation and modeling for optimization and failure prediction.
Cloud Computing and Logistics Platforms: Storage, management, and access to information in the cloud.
Cybersecurity in Digitalized Logistics Environments: Data protection, attack prevention, and risk management.
Implementation of Industry 4.0 Technologies: Strategies, challenges, and best practices for digital transformation in logistics.
‘
- Introduction to Logistics 4.0: Key Concepts and Evolution
- Disruptive Technologies: IoT, Big Data, AI, Blockchain in the Supply Chain
- IoT Sensors and Devices: Real-time monitoring of the cold chain, product location, and status
- Data Analysis and Big Data Analytics: Route optimization, demand forecasting, and inventory management
- Artificial Intelligence (AI) and Machine Learning: Process automation, chatbots, and last-mile optimization
- Blockchain in Logistics: Traceability, security, and transparency in the supply chain
- Cloud Computing: Collaborative platforms and data management in the cloud
- Robotic Automation: Smart warehouses, AGVs, and drones in logistics.
- Augmented Reality (AR) and Virtual Reality (VR): Training, maintenance, and process optimization.
- Cybersecurity in Logistics 4.0: Data and systems protection.
‘
- Introduction to Logistics Optimization: Key Concepts and Benefits
- Warehouse Management Software (WMS): Selection, Implementation, and Use
- Transportation Management Software (TMS): Route Planning, Tracking, and Optimization
- Enterprise Resource Planning (ERP) Systems: Logistics Integration
- Data Analysis in Logistics: Key Metrics, Dashboards, and Visualization
- Artificial Intelligence and Machine Learning: Applications in the Supply Chain
- Warehouse Automation: AGVs, Robots, and Automated Picking Systems
- Inventory Optimization: Forecasting Models, Service Levels, and Costs
- Demand Planning: Collaboration with Suppliers and Customers
- Optimization strategies for the last mile and reverse logistics
‘
Career opportunities
- Route and Transportation Optimization Specialist: Selection and application of software for efficient supply chain planning.
- Logistics Data Analyst: Interpretation and analysis of data to identify patterns, trends, and opportunities for improvement in logistics.
- Digitalized Warehouse Manager: Implementation and management of warehouse management systems (WMS) and automation technologies.
- E-commerce and Last-Mile Logistics Specialist: Optimization of delivery processes, inventory management, and customer experience in the online environment.
- Logistics Digital Transformation Consultant: Advising companies on the adoption of digital technologies to improve efficiency and competitiveness in logistics.
- Supply Chain 4.0 Manager: Integration of technologies such as IoT, blockchain, and big data into supply chain management. Supply.
- Tracking and Traceability Systems Expert: Implementation of solutions for real-time goods tracking and traceability management.
- Logistics Cost Analyst: Cost optimization through the use of digital tools and data analysis.
“`
Admission requirements
Academic/professional profile:
Degree/Bachelor's degree in Nautical Science/Maritime Transport, Naval/Marine Engineering, or a related field; or proven professional experience in bridge/operations.
Language proficiency:
Recommended functional maritime English (SMCP) for simulations and technical materials.
5. Induction
Updated resume, copy of degree or seaman's book, ID card/passport, letter of motivation.
Technical requirements (for online):
Equipment with camera/microphone, stable connection, ≥ 24” monitor recommended for ECDIS/Radar-ARPA.
Admission process and dates
1. Online
application
(form + documents).
2. Academic review and interview
(profile/objectives/schedule compatibility).
3. Admission decision
(+ scholarship proposal if applicable).
4. Reservation of place
(deposit) and registration.
5. Induction
(access to campus, calendars, simulator guides).
Scholarships and grants
- Optimize your supply chain: Master leading digital tools for efficient and profitable logistics.
- Advanced data analytics: Learn to interpret and use data to make strategic decisions in real time.
- Logistics management software: Become familiar with ERP, TMS, and WMS platforms, maximizing their potential in your operation.
- Automation and visibility: Implement solutions to automate processes, track shipments, and gain complete visibility.
- Continuous improvement: Apply agile methodologies and analytical tools to optimize costs and delivery times.
Testimonials
I implemented the digital logistics tools I learned in this course to optimize my company’s delivery routes. As a result, we reduced delivery times by 15% and fuel costs by 12%, exceeding our customers’ expectations and significantly improving our profitability.
During the Transport and Logistics course, I applied the knowledge I acquired to optimize the delivery route of a local company, reducing delivery times by 15% and fuel consumption by 12%, resulting in a significant increase in efficiency and a considerable reduction in costs.
I implemented the digital logistics tools I learned in this course to optimize my company’s delivery routes. As a result, we reduced delivery times by 15% and fuel costs by 12%, exceeding the project’s initial expectations.
I implemented the digital tools I learned to optimize my company’s inventory management. We reduced storage costs by 15% and increased inventory accuracy by 10% in just three months.
Frequently asked questions
A computer program or online platform that helps manage different aspects of logistics, such as transportation, storage, inventory management, and delivery of goods.
Yes. The itinerary includes ECDIS/Radar-ARPA/BRM with harbor, ocean, fog, storm, and SAR scenarios.
Online with live sessions; hybrid option for simulator/practical placements through agreements.
A warehouse management system (WMS).
Recommended functional SMCP. We offer support materials for standard phraseology.
Yes, with a relevant degree or experience in maritime/port operations. The admissions interview will confirm suitability.
Optional (3–6 months) through Companies & Collaborations and the Alumni Network.
Simulator practice (rubrics), defeat plans, SOPs, checklists, micro-tests and applied TFM.
A degree from Navalis Magna University + operational portfolio (tracks, SOPs, reports and KPIs) useful for audits and employment.
- Introduction to Logistics Optimization: Key Concepts and Benefits
- Warehouse Management Software (WMS): Selection, Implementation, and Use
- Transportation Management Software (TMS): Route Planning, Tracking, and Optimization
- Enterprise Resource Planning (ERP) Systems: Logistics Integration
- Data Analysis in Logistics: Key Metrics, Dashboards, and Visualization
- Artificial Intelligence and Machine Learning: Applications in the Supply Chain
- Warehouse Automation: AGVs, Robots, and Automated Picking Systems
- Inventory Optimization: Forecasting Models, Service Levels, and Costs
- Demand Planning: Collaboration with Suppliers and Customers
- Optimization strategies for the last mile and reverse logistics
‘
Request information
- Complete the Application Form
- Attach your CV/Qualifications (if you have them to hand).
- Indicate your preferred cohort (January/May/September) and whether you want the hybrid option with simulator sessions.
Teachers
Eng. Tomás Riera
Full Professor
Eng. Tomás Riera
Full Professor
Naval engineer specializing in the selection, integration, and optimization of propulsion systems for yachts, high-speed craft, and service vessels.
Eng. Sofía Marquina
Full Professor
Eng. Sofía Marquina
Full Professor
Materials engineer specializing in marine composites and corrosion protection systems for ships, yachts, and port structures.
Eng. Javier Bañuls
Full Professor
Eng. Javier Bañuls
Full Professor
Naval electrical engineer with over fifteen years of experience in the design, integration, and operation of power and automation systems.
Dr. Nuria Llobregat
Full Professor
Dr. Nuria Llobregat
Full Professor
Specialist in meteorological and operational decision-making for coastal and offshore navigation, integrating wind, wave, and current models.
Dr. Pau Ferrer
Full Professor
Dr. Pau Ferrer
Full Professor
Naval engineer with a PhD in applied hydrodynamics and over a decade of experience designing high-performance hulls and marine structures.
Cap. Javier Abaroa (MCA)
Full Professor
Cap. Javier Abaroa (MCA)
Full Professor
MCA-certified captain with command of ocean-going vessels, specializing in advanced maneuvering, navigation management, and bridge safety.