Course Outline
Day 1: AI Foundations and Microsoft Copilot EssentialsModule 1: Introduction to AI in Logistics
- Current AI trends in logistics and supply chain management
- Understanding Generative AI
- What Microsoft Copilot can and cannot do
- AI opportunities across logistics functions
- Common misconceptions about AI
- Building an AI-first mindset
Exercise
- Identifying AI opportunities in participants' daily work
Module 2: Understanding Microsoft Copilot
- Overview of Microsoft Copilot capabilities
- Working with Copilot across Microsoft 365 applications
- Data security, privacy, and responsible AI use
- Effective interaction with AI assistants
- Understanding context, memory, and limitations
Exercise
- Exploring Copilot through guided business scenarios
Module 3: Prompt Engineering Fundamentals
- Anatomy of an effective prompt
- Structuring prompts for business tasks
- Defining roles, objectives, and output formats
- Refining prompts for improved results
- Avoiding common prompting mistakes
Exercise
- Transforming weak prompts into effective prompts
Module 4: Practical Communication with Copilot
- Drafting professional emails
- Creating customer responses
- Managing escalation communication
- Summarizing long email threads
- Translating and localizing communication
Exercise
- Automating logistics communication workflows
Module 5: Document Creation and Summarization
- Summarizing reports and documents
- Creating meeting notes and action plans
- Drafting procedures and work instructions
- Producing management summaries
- Extracting key information from lengthy documents
Exercise
- Creating operational documentation with Copilot
End-of-Day Workshop
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Building a personal prompt toolkit
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Identifying quick wins for immediate implementation
Day 2: Logistics-Specific AI ApplicationsModule 6: AI for RFQs and Quotation Preparation
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Understanding RFQ requirements quickly
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Extracting critical information
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Preparing quotation drafts
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Standardizing proposal responses
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Reducing response times
Exercise
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RFQ analysis and response preparation
Module 7: Tender Analysis and Documentation Support
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Reviewing tender documentation
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Identifying risks and requirements
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Creating compliance checklists
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Generating executive summaries
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Preparing supporting documentation
Exercise
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Tender evaluation using Copilot
Module 8: AI for Transport and Operations Management
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Route and shipment analysis
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Exception handling support
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Operational reporting
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Service performance reviews
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Identifying operational bottlenecks
Exercise
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Solving transport operations challenges with AI
Module 9: Cost Analysis and Market Intelligence
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Analyzing cost structures
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Comparing supplier information
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Identifying trends and anomalies
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Market research support
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Creating management reports
Exercise
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Logistics cost analysis using Copilot
Module 10: Microsoft Copilot and Excel for Logistics
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Working with logistics data
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Analyzing spreadsheets
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Creating summaries and insights
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Identifying trends and exceptions
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Building management dashboards
Exercise
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Logistics KPI analysis with Excel and Copilot
Module 11: Internal Communication and Collaboration
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Preparing management updates
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Creating meeting agendas
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Producing action plans
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Drafting announcements and internal communications
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Knowledge-sharing support
Exercise
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Improving internal communication workflows
Day 3: Process Optimization, Planning, and Advanced AI UsageModule 12: Warehouse Workforce Planning
- Forecasting workload requirements
- Analyzing inbound and outbound activities
- Workforce scheduling support
- Capacity planning concepts
- Identifying productivity improvement opportunities
Exercise
- Workforce planning scenarios
Module 13: AI Support for WMS-Related Processes
- Documentation generation
- Process standardization
- User support materials
- SOP creation and maintenance
- Administrative workflow acceleration
Exercise
- Improving WMS-related administration with Copilot
Module 14: AI for HR and Administrative Functions
- Creating job descriptions
- Drafting recruitment advertisements
- Preparing onboarding documentation
- Supporting policy creation
- Contract review assistance
Exercise
- HR process acceleration using AI
Module 15: Advanced Prompt Engineering for Business Professionals
- Multi-step prompting techniques
- Scenario-based prompting
- Analytical prompting
- Decision-support prompting
- Building reusable prompt templates
Exercise
- Creating department-specific prompt libraries
Module 16: Critical Thinking and AI Validation
- Identifying hallucinations and inaccuracies
- Fact-checking AI outputs
- Risk assessment and compliance considerations
- Human oversight best practices
- Establishing AI governance principles
Exercise
- Reviewing and correcting AI-generated content
Module 17: AI-Powered Process Improvement Workshop
- Mapping current processes
- Identifying inefficiencies
- Finding AI integration opportunities
- Measuring potential business impact
- Prioritizing implementation initiatives
Group Workshop
- Developing an AI implementation roadmap for logistics operations
Course Summary and Next Steps
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Key lessons learned
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Individual action plans
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Building sustainable AI adoption habits
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Recommended practices for daily AI use
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Future opportunities for AI in logistics and supply chain management
Requirements
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Basic computer literacy.
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Familiarity with logistics operations and business processes.
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Access to Microsoft Copilot during the training is recommended.
