Iteration 2 Summary
Business Context: A phone retailer aims to optimize the distribution of phone stock across different markets to maximize revenue, considering market ranking and stock availability, while adhering to stock constraints per market.
Optimization Problem: The objective is to maximize total revenue from phone sales by optimally distributing available phone stock to various markets, considering market ranking and stock constraints.
Objective: maximize sum(Price[Phone_ID] * Num_of_stock[Market_ID, Phone_ID])
Tables Created: 1
Tables Modified: 1
Tables Deleted: 0
Key Change: Added a new table for phone prices to address missing objective coefficients. Updated existing tables to ensure all optimization requirements are met. Moved scalar parameters to configuration logic.
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 market sizes, phone pricing strategies, and stock management practices in the retail phone industry.