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Duration 14 hours
Course Outline
Module 1: Introduction to AI in Logistics and Supply
- Exploring Artificial Intelligence: key concepts and use cases
- AI in logistics and fuel distribution: potential benefits and impact
- No-code AI tools: Excel AI capabilities, ChatGPT, Power BI, and others
- Real-world examples from the transportation and fuel sectors
Module 2: Structuring and Analyzing Operational Data
- Recognizing critical logistics and supply datasets (routes, tanks, deliveries)
- Preparing volumetric control and inventory data for AI analysis
- Data cleansing, formatting, and verification using Excel
- Generating insights through dynamic tables and pivot charts
Module 3: AI-Assisted Forecasting for Fuel Demand
- Understanding demand forecasting and its key variables
- Applying Excel’s AI features and ChatGPT for predictive analysis
- Predicting short-term (1–2 week) fuel demand patterns
- Practical task: constructing a simple forecast model using available data
Module 4: Route Planning and Resource Optimization
- Core principles of route optimization and scheduling
- Utilizing AI tools to recommend optimal routes and delivery orders
- Using Excel and ChatGPT for route planning with practical constraints
- Hands-on activity: creating route alternatives for delivery vehicles
Module 5: Cost Estimation and Logistics Optimization
- Identifying cost factors: distance, tolls, fuel usage, and freight
- Employing AI models to calculate logistics costs
- Contrasting manual planning with AI-assisted cost analysis
- Developing cost calculation templates with variable inputs
Module 6: Dashboards and KPI Visualization
- Overview of Power BI and Excel dashboarding
- Designing visual reports for logistics and supply KPIs
- Combining data from volumetric control systems
- Hands-on session: building a live logistics performance dashboard
Module 7: Integrating AI into Logistics Workflows
- Automating routine reporting and data aggregation tasks
- Using Power Automate or Excel macros for process automation
- Setting up alert systems for inventory or delivery limits
- Practical demonstration: AI-driven alerts for tank refill scheduling
Module 8: 90-Day AI Adoption Plan for Logistics and Supply
- Creating a detailed AI implementation roadmap
- Selecting pilot use cases and defining success metrics
- Expanding AI-assisted workflows across teams
- Implementing continuous improvement and knowledge-sharing practices
Summary and Next Steps
Requirements
- Proficiency in Microsoft Excel or Google Sheets is recommended
- No previous experience with Artificial Intelligence is necessary
Target Audience
- Logistics and supply professionals within the fuel transport and sales sector
- Operations and inventory coordinators
- Supervisors and planners responsible for fleet routing and fuel deliveries
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 3200 € + VAT*
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