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Course Outline
Module 1: Introduction to AI in Logistics and Supply for Government
- Understanding Artificial Intelligence: Concepts and Applications for Government
- AI in Logistics and Fuel Distribution for Government: Opportunities and Impact
- No-Code AI Tools for Government: Excel AI, ChatGPT, Power BI, and Others
- Practical Examples from the Transportation and Fuel Industry for Government Operations
Module 2: Structuring and Analyzing Operational Data for Government
- Identifying Key Logistics and Supply Datasets for Government (Routes, Tanks, Deliveries)
- Organizing Volumetric Control and Inventory Data for AI Use in Government
- Data Cleaning, Formatting, and Validation in Excel for Government
- Creating Dynamic Tables and Pivot Charts for Insight Generation in Government
Module 3: AI-Assisted Forecasting for Fuel Demand for Government
- Understanding Demand Forecasting and Influencing Variables for Government
- Using Excel’s AI Features and ChatGPT for Predictive Analysis in Government
- Forecasting Short-Term (1–2 Week) Fuel Demand Trends for Government
- Practical Exercise: Building a Simple Forecast Model with Existing Data for Government
Module 4: Route Planning and Resource Optimization for Government
- Key Concepts in Route Optimization and Scheduling for Government
- Using AI Tools to Suggest Optimal Routes and Delivery Sequences for Government
- Applying Excel and ChatGPT for Route Planning with Real Constraints for Government
- Hands-On Activity: Generating Route Options for Delivery Units for Government
Module 5: Cost Estimation and Logistics Optimization for Government
- Identifying Cost Drivers for Government: Distance, Tolls, Fuel Consumption, Freight
- Using AI Models to Estimate Logistics Costs for Government
- Comparing Manual vs. AI-Assisted Cost Planning for Government
- Building Cost Calculation Templates with Dynamic Inputs for Government
Module 6: Dashboards and KPI Visualization for Government
- Introduction to Power BI and Excel Dashboards for Government
- Designing Visual Reports for Logistics and Supply KPIs for Government
- Integrating Data from Volumetric Control Systems for Government
- Hands-On: Creating a Real-Time Logistics Performance Dashboard for Government
Module 7: Integrating AI into Logistics Workflows for Government
- Automating Repetitive Reporting and Data Consolidation Tasks for Government
- Using Power Automate or Excel Macros for Task Automation in Government
- Creating Alert Systems for Inventory or Delivery Thresholds for Government
- Practical Example: AI-Based Alert for Tank Refill Scheduling for Government
Module 8: 90-Day AI Adoption Plan for Logistics and Supply for Government
- Building a Step-by-Step AI Implementation Roadmap for Government
- Identifying Pilot Use Cases and Success Metrics for Government
- Scaling AI-Assisted Workflows Across Teams in Government
- Establishing Continuous Improvement and Knowledge-Sharing Practices for Government
Summary and Next Steps for Government
Requirements
- Basic proficiency with Microsoft Excel or Google Sheets for government use
- No prior experience with Artificial Intelligence required
Audience
- Logistics and supply professionals in the fuel transportation and sales industry for government operations
- Operations and inventory coordinators for government agencies
- Supervisors and planners managing fleet routes and fuel delivery for government entities
14 Hours