Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Duration 14 hours
Course Outline
Module 1: Introduction to AI in Logistics and Supply
- Exploring Artificial Intelligence: core concepts and practical applications
- AI in logistics and fuel distribution: potential benefits and strategic impact
- No-code AI tools: Excel AI capabilities, ChatGPT, Power BI, and other relevant platforms
- Case studies and real-world examples from the transportation and fuel sectors
Module 2: Structuring and Analyzing Operational Data
- Identifying critical logistics and supply datasets, including routes, tank levels, and delivery records
- Preparing volumetric control and inventory data for AI-driven analysis
- Executing data cleaning, formatting, and validation processes in Excel
- Developing dynamic tables and pivot charts to generate actionable insights
Module 3: AI-Assisted Forecasting for Fuel Demand
- Understanding demand forecasting principles and key influencing variables
- Leveraging Excel’s AI features and ChatGPT for predictive analysis
- Predicting short-term (1–2 week) trends in fuel demand
- Practical exercise: constructing a simple forecasting model using existing operational data
Module 4: Route Planning and Resource Optimization
- Core principles of route optimization and efficient scheduling
- Utilizing AI tools to recommend optimal routes and delivery sequences
- Applying Excel and ChatGPT for route planning that accounts for real-world constraints
- Hands-on activity: generating and evaluating route options for delivery units
Module 5: Cost Estimation and Logistics Optimization
- Identifying key cost drivers: distance, tolls, fuel consumption, and freight charges
- Using AI models to calculate and estimate logistics costs
- Evaluating the differences between manual planning and AI-assisted cost strategies
- Creating cost calculation templates with dynamic input fields
Module 6: Dashboards and KPI Visualization
- Overview of Power BI and Excel dashboard capabilities
- Designing visual reports to track logistics and supply chain KPIs
- Integrating data from volumetric control systems into reporting tools
- Hands-on session: building a real-time logistics performance dashboard
Module 7: Integrating AI into Logistics Workflows
- Automating routine reporting and data consolidation processes
- Implementing task automation using Power Automate or Excel macros
- Setting up alert systems for inventory levels or delivery milestones
- Practical example: creating an AI-driven alert for tank refill scheduling
Module 8: 90-Day AI Adoption Plan for Logistics and Supply
- Developing a structured AI implementation roadmap
- Selecting pilot use cases and defining success metrics
- Scaling AI-assisted workflows across different teams and departments
- Establishing practices for continuous improvement and knowledge sharing
Summary and Next Steps
Requirements
- Basic proficiency in Microsoft Excel or Google Sheets
- No prior experience with Artificial Intelligence is required
Target Audience
- Logistics and supply chain professionals in the fuel transportation and sales sector
- Operations and inventory coordinators
- Supervisors and planners responsible for managing fleet routes and fuel deliveries
