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Duration 14 hours
Course Outline
Module 1: AI Fundamentals in Logistics and Supply
- Demystifying Artificial Intelligence: core concepts and practical applications
- AI in logistics and fuel distribution: strategic opportunities and operational impact
- Exploring no-code AI tools: Excel AI capabilities, ChatGPT, Power BI, and related platforms
- Real-world case studies from the transportation and fuel sectors
Module 2: Preparing and Analyzing Operational Data
- Identifying critical logistics and supply datasets (routes, tanks, deliveries)
- Structuring volumetric control and inventory data for AI processing
- Essential data cleaning, formatting, and validation techniques in Excel
- Generating insights through dynamic tables and pivot charts
Module 3: AI-Driven Fuel Demand Forecasting
- Understanding demand forecasting principles and key influencing variables
- Leveraging Excel’s AI features and ChatGPT for predictive analysis
- Projecting short-term (1–2 week) fuel demand trends
- Practical exercise: constructing a simple forecast model using existing data
Module 4: Optimizing Routes and Resource Allocation
- Key principles of route optimization and scheduling
- Using AI tools to recommend optimal routes and delivery sequences
- Applying Excel and ChatGPT to route planning with real-world constraints
- Hands-on activity: generating route options for delivery units
Module 5: Logistics Cost Estimation and Optimization
- Identifying primary cost drivers: distance, tolls, fuel consumption, and freight
- Utilizing AI models for accurate logistics cost estimation
- Comparing traditional manual methods with AI-assisted cost planning
- Developing cost calculation templates with dynamic input fields
Module 6: Visualizing KPIs and Performance Dashboards
- Overview of Power BI and Excel dashboard capabilities
- Designing visual reports for key logistics and supply metrics
- Integrating data streams from volumetric control systems
- Hands-on: building a real-time logistics performance dashboard
Module 7: Embedding AI into Daily Logistics Workflows
- Automating repetitive reporting and data consolidation tasks
- Leveraging Power Automate or Excel macros for process automation
- Setting up alert systems for inventory levels and delivery thresholds
- Practical example: implementing AI-based alerts for tank refill scheduling
Module 8: 90-Day Roadmap for AI Adoption in Logistics
- Creating a structured step-by-step AI implementation plan
- Selecting pilot use cases and defining success metrics
- Scaling AI-assisted workflows across teams
- Establishing routines for continuous improvement and knowledge sharing
Summary and Next Steps
Requirements
- Familiarity with Microsoft Excel or Google Sheets
- No previous experience with Artificial Intelligence is necessary
Target Audience
- Professionals in logistics and supply within the fuel transport and sales sectors
- Operations and inventory coordinators
- Supervisors and planners responsible for fleet routing and fuel delivery
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 2600 € + VAT*
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