Iteration 1 Summary
Business Context: A real estate company aims to maximize its profit by selecting properties to sell based on their selling price, vendor requested price, and specific features that are in demand.
Optimization Problem: Maximize the total profit from selling selected properties, considering constraints on the number of properties sold, total room count, and properties with desired features.
Objective: maximize total_profit = sum((agreed_selling_price[i] - vendor_requested_price[i]) * selected[i])
Tables Created: 2
Tables Modified: 1
Tables Deleted: 0
Key Change: Schema changes include adding tables for decision variables and constraint bounds, modifying existing tables to fill mapping gaps, and moving scalar parameters to configuration logic.
Status: Complete
Confidence: high
Next Focus: Ready for convergence
Mapping Adequacy: mostly_good
Business Configuration Parameters: 3

Triple Expert Data: Values were determined based on typical real estate market conditions, ensuring a mix of property types and features to reflect realistic scenarios. Prices and features were chosen to create a diverse portfolio that aligns with the constraints and objectives of the optimization problem.