Iteration 1 Summary
Business Context: A restaurant chain wants to optimize the allocation of marketing budget across different cities to maximize the overall rating improvement of its restaurants.
Optimization Problem: Allocate a fixed marketing budget across different cities to maximize the sum of expected rating improvements of the restaurants. Each city has a different potential rating improvement per unit of budget spent, and the total budget is limited.
Objective: maximize sum(CityRatingImprovementCoefficients.coefficient[city_id] * BudgetAllocations.allocation[city_id])
Tables Created: 2
Tables Modified: 0
Tables Deleted: 0
Key Change: Schema changes include creating tables for decision variables and objective coefficients, and updating business configuration logic for constraint bounds.
Status: Complete
Confidence: high
Next Focus: Ready for convergence
Mapping Adequacy: mostly_good
Business Configuration Parameters: 1

Triple Expert Data: Values were determined based on typical marketing budget allocations and expected rating improvements in the restaurant industry, ensuring a balance between potential improvements and budget constraints.