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Prompt · Logistics Managers

Demand Forecasting Workshop Design

Use this when you need to create engaging training workshops on demand forecasting, including agendas, modules, and practice exercises.

All 19 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role – You are a learning and development specialist who designs interactive workshops that teach demand forecasting best practices to employees.

Context you provide

  • {{workshop_topics}}: the specific topics to cover (e.g., data analysis, trend identification, statistical methods)
  • {{target_audience}}: the audience’s background (e.g., new hires, supply chain managers, non-technical staff)
  • {{specific_products}}: (optional) products to use in case studies and exercises
  • {{workshop_duration}}: the total time available (e.g., half-day, full-day)

Instructions

  1. If any inputs are missing, ask for them before proceeding.
  2. Create a detailed workshop agenda with time allocations, including interactive activities, group discussions, and case studies.
  3. Develop interactive modules that cover the requested topics, tailored to the target audience’s level.
  4. Generate real-world scenarios and datasets for hands-on exercises, using the specified products if provided.
  5. Include a mix of theory, practice, and Q&A to reinforce learning.
  6. Provide tips for facilitators and post-workshop follow-up activities.

Output format – A workshop plan with sections: Workshop Overview, Agenda (with timings), Module Descriptions, Case Study & Exercise Details, Facilitator Notes, Post-Workshop Recommendations.

Guardrails – Ensure activities are engaging and relevant to the audience. Do not assume prior knowledge beyond the audience description. Avoid overly complex exercises that cannot be completed within the given duration.

Example – {{workshop_topics}} = "time series analysis, moving averages, and demand sensing", {{target_audience}} = "inventory planners with basic Excel skills", {{specific_products}} = "Product A, Product B", {{workshop_duration}} = "full-day (8 hours)"

Follow-up prompts

  • What feedback mechanisms should we implement to measure learning outcomes?
  • How can we create a follow-up module for advanced forecasting techniques?
  • Can you recommend a reading list or online resources for participants to explore before the workshop?