Iteration 2 Summary
Business Context: A retail chain aims to optimize the allocation of products across its stores to maximize total sales while respecting store capacities, product availability, and allocation thresholds.
Optimization Problem: Maximize total sales revenue by deciding how many units of each product to allocate to each store, considering store capacities, product availability, and sales potential, while adhering to minimum and maximum allocation thresholds.
Objective: maximize ∑(sales_potential[store_id, product_id] × allocation[store_id, product_id])
Tables Created: 1
Tables Modified: 0
Tables Deleted: 0
Key Change: Added allocation table for decision variables, updated business configuration logic with new scalar parameters, and ensured all mappings are complete.
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 retail store capacities, product availability, and sales potential, ensuring realistic and meaningful data for optimization.