Case Study 1: Office Administration
Scenario: Draft a professional email (e.g responding to a customer inquiry asking for an update on their order #12345, which was supposed to arrive on May 15th and is now delayed.)
Simple Prompt - Instructions & Details
Write a professional email to a customer.
The customer is asking for an update on their order #12345, which was expected to arrive on May 15th but has been delayed.
Advanced Prompt – CIDO – Context . Instruction . Details . Output
I am responding to a customer's email inquiry about their order #12345, which was originally expected to arrive on May 15th but has been delayed. They are seeking an update on its status.
inquiry
I want you to write a reply email. The email should provide a clear and concise. Break down the response into easy-to-understand steps and maintain a polite and professional tone.
Include the reason for the delay (if available), an updated estimated delivery date, and an offer for additional assistance or compensation if deemed appropriate (such as a discount or free expedited shipping)
The email should be a well-structured support email that addresses the customer’s inquiry, leave the customer feeling informed and valued.
Participants’ task (20 mins)
Scenario: Draft a memo announcing a new supplier policy.
1.Enter a prompt,
2.Generate an output,
3.Refine the prompt & regenerate the output.
Case Study 2: Inventory Management
Scenario: Using ChatGPT to generate an inventory status report.
#1. Prompt to Summarize Data & Flag Low-Stock Items
I have an inventory list with current stock levels, reorder thresholds, and weekly sales rates. Can you summarize this data and highlight items that are low in stock?
#2. Iterate Prompt for Concise, Actionable Output
Can you provide a brief, actionable summary of which items need restocking?
Participants’ task (20 mins)
Scenario: Analyze a new dataset to generate a reorder recommendation.
1.Upload the sample date file into a GPT of your choice
2.Enter a prompt to analyze the data.
3.Refine the prompt
4.Repeat with a 2nd GPT
Sample data to download for Case Study 2: Inventory Management
#1. Prompt to Summarize Data & Flag Low-Stock Items eg,
Please analyze the following inventory data and provide a summary of the total number of products and the categories represented. Also, identify any products where the 'Stock Level' is below the 'Reorder Point' and list them with their current stock level.
#2. Iterate Prompt for Concise, Actionable Output eg,
Please analyze the following inventory data and provide a summary of the total number of products and the categories represented. Also, identify any products where the 'Stock Level' is below the 'Reorder Point' and list them with their current stock level.
#1. Prompt to Summarize Data & Flag Low-Stock Items eg,
Please analyze the inventory data and provide a summary. Flag any products where the current stock is at or below the reorder level.
#2. Iterate Prompt for Concise, Actionable Output eg,
Provide a bullet-point summary of inventory status, listing only products that need reordering. Include supplier contact priority (e.g., 'Urgent' if stock is 50% below reorder level).
#3. Advanced Prompt for Forecasting eg,
If the supermarket sells 5 units of pasta per day, how many days until stock runs out? When should we place an order if supplier lead time is 3 days?
#1. Prompt to Summarize Data & Flag Low-Stock Items eg,
Please analyze the inventory data and provide a summary. Flag any products where the current stock is at or below the reorder level.
#2. Iterate Prompt for Concise, Actionable Output eg,
Provide a bullet-point summary of inventory status, listing only products that need reordering. Include supplier contact priority (e.g., 'Urgent' if stock is 50% below reorder level).
#3. Advanced Prompt for Forecasting eg,
Assume a 20% monthly sales growth. Estimate when the Wireless Mouse (current stock: 15) will hit reorder level (10) if no restocking happens
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