-- Iteration 1 Realistic Data
-- Generated by triple expert (business + data + optimization)
-- Values were determined based on typical market conditions, exchange rates, and stock levels to ensure a realistic and solvable optimization problem.

-- Realistic data for Catalog_Contents
INSERT INTO Catalog_Contents (price_in_dollars, price_in_euros, price_in_pounds, minimum_price_dollars, minimum_price_euros, minimum_price_pounds) VALUES (12.99, 11.04, 9.74, 11.99, 10.19, 8.99);
INSERT INTO Catalog_Contents (price_in_dollars, price_in_euros, price_in_pounds, minimum_price_dollars, minimum_price_euros, minimum_price_pounds) VALUES (18.49, 15.72, 13.87, 16.99, 14.44, 12.74);
INSERT INTO Catalog_Contents (price_in_dollars, price_in_euros, price_in_pounds, minimum_price_dollars, minimum_price_euros, minimum_price_pounds) VALUES (25.0, 21.25, 18.75, 22.5, 19.13, 16.88);

-- Realistic data for Product_Sales
INSERT INTO Product_Sales (product_id, sales_volume) VALUES (1, 120);
INSERT INTO Product_Sales (product_id, sales_volume) VALUES (2, 180);
INSERT INTO Product_Sales (product_id, sales_volume) VALUES (3, 90);

-- Realistic data for Stock_Availability
INSERT INTO Stock_Availability (product_id, stock_available) VALUES (1, 150);
INSERT INTO Stock_Availability (product_id, stock_available) VALUES (2, 200);
INSERT INTO Stock_Availability (product_id, stock_available) VALUES (3, 100);

