Course overview
Start hereAI for Demand Planners
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Priya's Wednesday, two ways

8 lessons · 28 prompts

A day in the life of a Demand Planner: what changes with these prompts.

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Priya, a demand planner for a home goods company.

Priya starts her Wednesday with a messy sales file. Last year's garden tool sales are mixed in with returns and a few manual fixes. She opens ChatGPT and uses the prompt from Forecast Data Preparation to clean the file and flag the gaps. In a few minutes, she has a tidy table she can trust.

Next, she needs a forecast for the spring promotion on patio furniture. She uses the Demand Forecasting Basics prompt to compare two simple methods and write a short demand story. Then she uses the Promotion And Event Planning prompt to estimate lift from a planned discount and adjust the numbers. Claude helps her check the assumptions against last year's event.

After lunch, Priya uses the Forecast Accuracy Review prompt in Gemini to measure last month's error and spot any bias. She writes a plain-language review that explains why the forecast changed. Before, this took most of an afternoon. Now she finishes in time to call the supply team and walk through the risks.

With the time she wins back, Priya leaves on time and takes a walk before dinner. She also saves her favorite prompts in a note so she can reuse them next week. The work still needs her judgment, but the busywork no longer eats her day.

Before

  • Staring at messy spreadsheets until late
  • Guessing at promotional lift
  • Writing forecast notes from scratch
  • Rushing the accuracy review

After this course

  • Data cleaned in a few prompts
  • Forecast story written by lunch
  • Promo lift explained clearly
  • Home on time for dinner

What you'll learn

  • Clean sales data: Use AI to spot gaps, fix formats, and shape historical sales into a clean starting point for your forecast.
  • Choose forecast methods: Ask AI to compare simple methods, document your assumptions, and turn the numbers into a demand story you can explain.
  • Plan promotions: Estimate promotional lift, adjust your forecast, and write down the event assumptions in one place.
  • Set safety stock: Calculate safety stock, set reorder rules, and simulate what happens when demand or lead times change.
  • Review accuracy: Measure forecast error, spot bias, and draft a review that explains what changed and why.
  • Prepare S&OP: Get ready for S&OP meetings by summarizing risks and aligning demand with supply teams.
  • Draft updates: Write clear forecast updates and explain demand changes to procurement and suppliers.
  • Run scenarios: Build scenario models, stress-test your assumptions, and brief executives on demand uncertainty.

How this course works

  1. 8 lessonsOne task of your job each, from forecast data preparation to advanced scenario planning.
  2. Ready-to-paste promptsCopy, fill in the parts in {{brackets}}, paste into ChatGPT, Claude or Gemini.
  3. Tick and completeTick the prompts you tried and mark each lesson complete.
  4. Get certifiedFinish and keep the prompts as your own library.