Menu engineering, popularized by Smith and Kasual in the 1980s, classifies each menu item into one of four quadrants: Stars (high margin, high popularity), Plow Horses (low margin, high popularity), Puzzles (high margin, low popularity), and Dogs (low margin, low popularity). The strategic goal is to promote Stars, reprice or portion-reduce Plow Horses, investigate why Puzzles lack demand, and remove Dogs. MenuMargin AI applies this classification automatically after ingesting sales data and plate costs, surfacing actionable recommendations rather than raw numbers.
← Glossary
Menu Engineering
A framework for categorizing menu items by profitability and popularity to optimize item mix and pricing.
Related terms
- Plate Cost — The total ingredient cost for a single prepared menu item, calculated from the cost per ingredient portion.
- Food Cost Percentage — The ratio of ingredient cost to menu price, expressed as a percentage. A key profitability benchmark.
- Menu Psychology — The application of design, placement, and pricing cues to influence guest ordering behavior and increase average ticket.