Cross-sell optimization uses data analysis and common sense to improve sales by suggesting complementary products to customers. It analyzes user behavior and product sales data to identify high traffic but low converting products, high performing products, and underperforming but promising products. It then places products into these categories and assigns cross-selling modules like bundling complementary items or suggesting alternatives. The strategy is tested and refined to improve sales through targeted, data-driven cross-selling.