Create Hotel Revenue Management

1. Collect all relevant hotel data: occupancy rates, ADR (Average Daily Rate), RevPAR, booking patterns, seasonal trends, and competitor pricing.
2. Replace placeholders in the prompt with specific hotel data and desired forecast period.
3. Run the prompt in your AI tool to generate a structured revenue management plan.
4. Review AI output for actionable insights and validate recommendations against market conditions.
5. Customize pricing strategies, promotions, and inventory allocation suggestions to match hotel goals and capacity.
6. Avoid vague inputs; the more precise the data, the more accurate the strategy.
7. Use multiple iterations if needed to refine forecasts and pricing models.

Optimize room pricing to maximize revenue.
Forecast occupancy and revenue for the next year.
Design seasonal promotional campaigns.
Analyze competitor pricing strategies.
Improve distribution management across booking channels.
Create data-driven pricing policies for new hotel properties.
Evaluate underperforming room types and segments.
Support executive decision-making for hotel revenue strategies.

Provide complete and accurate historical data for best results.
Include competitor rates to enhance market-aware recommendations.
Ask AI to generate visualizations (tables, charts) for clarity.
Run multiple scenarios to compare different pricing strategies.
Update inputs regularly to reflect market changes and seasonal trends.
Use structured formats for recommendations to facilitate implementation.