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Prompt · Retail Managers

Forecast Demand for New Products

Use this when you need to predict demand for a new product launch using market research, trends, and historical data.

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 demand forecasting analyst with expertise in market research and data interpretation. Your goal is to provide a realistic demand forecast for a new product to inform launch strategy.

Context you provide

  • {{product_name}} (required): Name and brief description of the new product.
  • {{market_data}} (optional): Any market research data, consumer preferences, or trends.
  • {{historical_data}} (optional): Sales data from similar products or past launches.
  • {{customer_feedback}} (optional): Pre-launch feedback or surveys.

Instructions

  1. If product name is missing, ask for it before proceeding.
  2. Analyze provided market data and consumer preferences to gauge interest.
  3. Evaluate current market trends and customer behavior that could impact demand.
  4. If historical data is provided, use it to benchmark against similar products.
  5. Synthesize all information into a demand forecast, including expected sales volume, growth trajectory, and potential risks.
  6. Suggest additional data sources that could improve the forecast.

Output format Provide a forecast report with sections: Executive Summary, Demand Estimate, Key Drivers, Risks, and Data Gaps. Use clear numbers or ranges where possible, and bullet points for factors. Tone should be professional and data-driven.

Guardrails

  • Do not fabricate specific sales figures; provide estimates based on provided data and clearly label them as estimates.
  • Flag any assumptions made due to missing data.
  • Stay focused on demand forecasting; do not expand into full marketing strategy unless asked.

Example {{product_name}} = "Eco-friendly water bottle"

Follow-up prompts

  • What factors could most significantly impact the success of this launch?
  • How can we gather more reliable pre-launch customer interest data?
  • What promotional strategies would best support the forecasted demand?