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: Overview of AI in Logistics and Supply
- Demystifying Artificial Intelligence: key concepts and practical uses
- AI in logistics and fuel distribution: potential benefits and impact
- No-code AI platforms: Excel AI, ChatGPT, Power BI, and more
- Real-world examples from the transport and fuel sectors
Module 2: Organizing and Interpreting Operational Data
- Recognizing critical logistics and supply datasets (routes, tanks, deliveries)
- Structuring volumetric control and inventory data for AI applications
- Data cleansing, formatting, and verification in Excel
- Building dynamic tables and pivot charts to generate insights
Module 3: AI-Enabled Fuel Demand Forecasting
- Comprehending demand prediction and the factors that influence it
- Leveraging Excel’s AI capabilities and ChatGPT for predictive analytics
- Predicting short-term (1–2 week) trends in fuel demand
- Practical task: creating a simple forecast model using existing data
Module 4: Route Planning and Resource Efficiency
- Fundamental principles of route optimization and scheduling
- Employing AI tools to recommend optimal routes and delivery sequences
- Applying Excel and ChatGPT for route planning under real-world constraints
- Hands-on session: generating route alternatives for delivery units
Module 5: Cost Analysis and Logistics Enhancement
- Identifying cost factors: distance, tolls, fuel usage, freight
- Utilizing AI models to project logistics expenses
- Evaluating manual versus AI-assisted cost planning
- Creating cost calculation templates with adjustable inputs
Module 6: Dashboards and KPI Visuals
- Getting started with Power BI and Excel dashboards
- Designing visual reports for logistics and supply chain KPIs
- Integrating data from volumetric control systems
- Practical work: building a real-time logistics performance dashboard
Module 7: Embedding AI into Logistics Processes
- Automating routine reporting and data consolidation tasks
- Using Power Automate or Excel macros for process automation
- Setting up alert systems for inventory or delivery benchmarks
- Practical case: AI-driven alerts for tank refill scheduling
Module 8: 90-Day AI Implementation Plan for Logistics and Supply
- Developing a phased AI adoption roadmap
- Selecting pilot use cases and defining success indicators
- Expanding AI-assisted processes across teams
- Establishing practices for continuous improvement and knowledge exchange
Conclusions and Future Directions
Requirements
- Familiarity with Microsoft Excel or Google Sheets
- No previous background in Artificial Intelligence is necessary
Target Audience
- Logistics and supply chain experts in the fuel transport and retail industry
- Operations and inventory coordinators
- Supervisors and planners overseeing fleet routing and fuel delivery
