Iteration 1 Summary
Business Context: A bank is optimizing the allocation of loan amounts across different branches to maximize the total credit score of customers receiving loans, while adhering to budget constraints and ensuring a minimum number of loans per branch.
Optimization Problem: The bank aims to maximize the total credit score of customers who receive loans, subject to constraints on the total loan budget, minimum number of loans per branch, and maximum loan amount per customer.
Objective: maximize total_credit_score = ∑(credit_score[cust_ID] × loan_amount[cust_ID])
Tables Created: 1
Tables Modified: 1
Tables Deleted: 0
Key Change: Schema changes include creating new tables for missing constraint bounds and updating existing tables to improve mapping adequacy. Configuration logic is updated to include scalar parameters for constraints.
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 banking scenarios, ensuring that the total budget and loan constraints are realistic and align with common banking practices.