The Sunset Canyon Resort hosts 7 weddings per year. Each year, the resort has 15 opportunities to host a prospective couple and sell one of these slots. You have been hired to develop a pricing strategy for the resort.

💰 Potential prices

Each time a couple visits, you can set the price at one of the following levels:
Low Price $30,000
Medium Price $40,000
High Price $50,000

🎯 Historical data

To help you develop your strategy, you have been provided with historical data on sale attempts.

📋 About the Case

The Sunset Canyon Resort Case was developed by Santiago Balseiro and Daniel Guetta. The authors are grateful to Daniel David for his extensive help in developing this interactive simulation tool.

Getting a feel for the pricing challenge

Use the simulator below to set the price for each selling opportunity, and simulate each customer's response.

Selling
opportunity
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15

Click on "try again" to reset the simulation; once you're done, scroll down to submit your strategy to the class leaderboard.

Submit a strategy

Use the grid below to design a strategy (click and drag to select in bulk), and submit it to the class leaderboard. Your strategy will be tested against everyone else's in the class and ranked on a leaderboard.

← Inventory (I)
7 6 5 4 3 2 1
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Selling Opportunity (T) →

📋 Design Your Strategy

Create or upload a pricing strategy matrix (7 inventory levels × 15 selling opportunities)

Upload CSV Strategy

Upload a CSV file to populate the grid editor below, or design manually

📄
Drop CSV file here or click to browse

⚡ Monte Carlo Simulation

Test your strategy with 100 simulation trials to evaluate expected performance

Simulation Configuration

• Number of Trials: 100

• Simulation Type: Monte Carlo

• Deterministic Seed: Enabled

Your Strategy Matrix

📊 Simulation Results

Your strategy performance across 100 Monte Carlo trials

Monte Carlo Distribution

📤 Submit Strategy

Submit your strategy for evaluation

Strategy Summary: