Iteration 2 Summary
Business Context: A retail chain aims to optimize the distribution of products across its stores to maximize sales potential while considering store capacity and product demand. The goal is to ensure efficient allocation of products to stores based on their capacity and product availability.
Optimization Problem: The objective is to maximize total potential sales by distributing products to stores. Each store has a limited capacity, and each product has a potential sales value. The distribution must respect store capacities and ensure that each product is only assigned to stores that can accommodate it.
Objective: maximize total_sales = ∑(sales_value[product_id] * units_assigned[store_id, product_id])
Tables Created: 1
Tables Modified: 0
Tables Deleted: 0
Key Change: Schema changes include creating a new table for decision variables, modifying existing tables to improve mapping adequacy, and updating business configuration logic for scalar parameters and formulas.
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 retail scenarios, considering product demand, store capacity, and sales potential. The approach ensures that the data reflects realistic business operations and constraints.