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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.
Investment

Price per private group, online live training, starting from 3200 € + VAT*

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