AI for Logistics and Supply: Practical No-Code Applications for the Fuel Industry Training Course

Module 1: Introduction to AI in Logistics and Supply

• Grasping Artificial Intelligence: core concepts and uses
• AI in logistics and fuel distribution: potential opportunities and impact
• No-code AI tools: Excel AI, ChatGPT, Power BI, and more
• Real-world examples from the transportation and fuel industries

Module 2: Structuring and Analyzing Operational Data

• Recognizing key logistics and supply datasets (routes, tanks, deliveries)
• Preparing volumetric control and inventory data for AI utilization
• Data cleaning, formatting, and validation within Excel
• Generating insights through dynamic tables and pivot charts

Module 3: AI-Assisted Forecasting for Fuel Demand

• Understanding demand forecasting and the variables that influence it
• Leveraging Excel’s AI features and ChatGPT for predictive analysis
• Predicting short-term (1–2 week) fuel demand trends
• Practical task: creating a simple forecast model using existing data

Module 4: Route Planning and Resource Optimization

• Core principles of route optimization and scheduling
• Employing AI tools to recommend optimal routes and delivery orders
• Using Excel and ChatGPT for route planning under real-world constraints
• Hands-on task: generating route alternatives for delivery units

Module 5: Cost Estimation and Logistics Optimization

• Identifying cost factors: distance, tolls, fuel usage, and freight
• Utilizing AI models to estimate logistics expenses
• Comparing traditional manual planning with AI-assisted cost management
• Developing cost calculation templates with dynamic inputs

Module 6: Dashboards and KPI Visualization

• Getting started with Power BI and Excel dashboards
• Designing visual reports for logistics and supply KPIs
• Incorporating data from volumetric control systems
• Hands-on task: building a real-time logistics performance dashboard

Module 7: Integrating AI into Logistics Workflows

• Automating repetitive reporting and data aggregation tasks
• Using Power Automate or Excel macros for task automation
• Setting up alert systems for inventory or delivery thresholds
• Practical illustration: an AI-based alert for scheduling tank refills

Module 8: 90-Day AI Adoption Plan for Logistics and Supply

• Constructing a step-by-step AI implementation roadmap
• Selecting pilot use cases and defining success metrics
• Expanding AI-assisted workflows across teams
• Establishing practices for continuous improvement and knowledge sharing

Summary and Next Steps