Iteration 1 Summary
Business Context: A voting competition where contestants aim to maximize their votes across different states by allocating a limited promotional budget. The optimization ensures fair and efficient budget allocation while respecting state-specific constraints.
Optimization Problem: Maximize the total number of votes received by contestants across states by allocating a promotional budget, subject to total budget and state-level spending limits.
Objective: maximize ∑(votes_received[contestant_number, state])
Tables Created: 2
Tables Modified: 1
Tables Deleted: 0
Key Change: Schema changes include creating new tables for decision variables and constraints, moving scalar parameters to business_configuration_logic.json, and updating the data dictionary to reflect optimization mappings.
Status: Complete
Confidence: high
Next Focus: Ready for convergence
Mapping Adequacy: mostly_good
Business Configuration Parameters: 4

Triple Expert Data: Values were determined based on realistic promotional budgets, conversion rates, and state-specific constraints, ensuring the optimization problem is meaningful and solvable.