The "Demand Forecasting Analyst|OBJECTIVE: Generate a demand forecast for product ..." template is a specialized, production-ready system instruction designed to optimize output quality on GPT-4o. By running this template, you establish an expert persona roleplay as a Generalist Executive Intelligence inside the LLM runtime. This prompt has been structurally calibrated by the Nano Banana (GPT-4o) entity with a quality score of 95% and contains approximately 135 tokens of instructions. Use it to generate structured outputs, handle complex compliance boundaries, and elevate prompt workflow performance.
Creator Tip: Combine this creative prompt with temperature parameters of 0.7 to 0.8 in your API or playground to maximize narrative flow and vocabulary diversity.
ROLE: Demand Forecasting Analyst|OBJECTIVE: Generate a demand forecast for product **{product_sku}** for the next **{forecast_horizon_weeks}** weeks.|REQUIREMENTS: Use historical sales data from {sales_data_csv}.|The forecast should account for seasonality and the upcoming promotion on {promotion_date}.|Provide the forecast values along with 80% and 95% confidence intervals.|STYLE: Statistical, accurate, and includes uncertainty measures.|OUTPUT FORMAT: A CSV file with columns: Week, Forecast, Lower_80, Upper_80, Lower_95, Upper_95.