Every week you leave money on the table. Not because your food is wrong, but because your menu isn't working for you. Restaurants that track which items drive the most profit and steer customers toward them consistently pull more revenue from the same covers. Those that don't are handing margin to their highest-cost, lowest-return dishes without realizing it, and with 42% of operators reporting no profit in the NRA's 2026 report, the cost of passive menu management is no longer abstract.
TLDR:
ToolPurposePoint-of-Sale SystemTrack sales data and item popularityInventory TrackingMonitor food costs and profit marginsCustomer SurveysGather feedback on menu perceptionsMenu Design SoftwareCreate visually appealing, strategic menus
A point-of-sale (POS) system is critical for tracking sales data and understanding which menu items are popular or underperforming. Key features include:
Monitoring food costs and waste is fundamental to determining menu item profitability and identifying cost-saving opportunities. An inventory tracking system should provide:
| Feature | Description |
|---|---|
| Real-time cost visibility | Track ingredient costs and usage. |
| Automated inventory tracking | Monitor inventory levels and reorder points. |
| POS integration | Accurate sales and cost data. |
| Reporting tools | Analyze food costs, waste, and profitability. |
To improve your menu, you need to analyze how each item is doing. This involves finding out food costs and profit margins, tracking sales and popularity, and grouping items by profitability and popularity.
Knowing your food costs is key to understanding menu item profitability. To calculate food costs, you need to track the cost of each ingredient, including portion sizes and waste. Use your POS system to track sales data and inventory levels, which will help you calculate the food cost percentage. The food cost percentage is the ratio of food cost to menu price.
For example, if the food cost of a dish is $8 and the menu price is $20, the food cost percentage is 40%. In practice, for every dollar sold, you spend 40 cents on food costs.
Contribution margin is another important number to calculate. It's the difference between the menu price and food cost. In the previous example, the contribution margin would be $12 ($20 - $8). This metric helps you identify which items make the most profit and which ones need improvement. For a broader view of how margin analysis fits into overall operations, see restaurant revenue management and profit margins.
Tracking sales data is the foundation for understanding which menu items are popular and which ones need improvement. Use your POS system to track sales data, including the number of items sold, revenue, and peak selling times. This data will help you identify trends and patterns in customer behavior.
For example, if you notice that a particular dish sells well during lunch but not during dinner, you may want to adjust your menu or pricing strategy accordingly.
Once you have calculated food costs and margins and tracked sales data, you can group your menu items into four categories. This menu engineering framework is the foundation of data-driven menu decisions, and the menu engineering matrix shows exactly how to plot each item. For a deeper look at how AI is changing this process, see AI menu engineering for restaurants:
CategoryDescriptionStarsHigh-profit and high-popularity items that you should promote and feature front and center on your menu.PuzzlesHigh-profit but low-popularity items that you should try to increase demand for.PlowhorsesLow-profit but high-popularity items that you should consider raising the price or reducing the portion size.DogsLow-profit and low-popularity items that you should eliminate or replace with better options.
Knowing how much profit each menu item brings in is key. To do this, you need to calculate food costs and profit margins accurately.
Food costs include the cost of ingredients, labor, and overhead expenses. To find the food cost for a dish:
For example, a dish priced well above its ingredient cost will carry a low food cost percentage, leaving more margin per sale. A dish priced too close to its ingredient cost erodes profit even when it sells well.
See the contribution margin calculation in the Analyzing Menu Item Performance section above.
Here's a table comparing profitability across different menu items:
| Menu Item | Food Cost | Menu Price | Profit Margin | Food Cost % |
|---|---|---|---|---|
| Burger | $3.50 | $10.00 | $6.50 | 35% |
| Salad | $2.00 | $8.00 | $6.00 | 25% |
| Pizza | $5.00 | $15.00 | $10.00 | 33% |
| Sandwich | $4.00 | $12.00 | $8.00 | 33% |
This data helps identify:
Knowing these numbers lets you make smart decisions about pricing, portions, and menu changes.
Knowing which menu items are popular is key for menu engineering. By analyzing popularity, you can decide which items to promote, adjust pricing, and manage inventory better.
Item popularity refers to how well a menu item is selling. Common ways to measure popularity include:
These metrics show you what customers like and don't like, helping you spot trends.
Certain factors can affect how popular a menu item is:
Understanding how seasons and trends impact popularity can help you adjust your menu and inventory accordingly.
Here's an example table showing item popularity rankings:
| Menu Item | Sales Volume | Order Frequency | Customer Rating |
|---|---|---|---|
| Burger | 500 | 300 | 4.5/5 |
| Salad | 300 | 200 | 4.2/5 |
| Pizza | 700 | 400 | 4.8/5 |
| Sandwich | 400 | 250 | 4.1/5 |
This table makes it easy to see which items are most popular and which ones need improvement.
Once items are categorized, apply a targeted strategy to each group and use design principles to steer customers toward your highest-margin options.
For category definitions, see the framework above.
| Item | Strategy |
|---|---|
| Stars | Promote these items prominently, consider raising prices. |
| Puzzles | Improve descriptions, adjust pricing to increase sales. |
| Plowhorses | Reduce food costs, adjust portion sizes. |
| Dogs | Remove or re-engineer these items. |
Research in menu psychology and design shows that placement and visual cues can move high-margin items without changing a single price.
| Principle | Description |
|---|---|
| Item placement | Place high-profit items at the top and bottom of sections. |
| Visual cues | Use bold text, images, and boxes to draw attention to high-profit items. |
| Menu size | Limit the number of items to focus on high-profit options. |
Check your sales data regularly to see which items are selling, which aren't, and where seasonal trends are shifting. Use that data to:
Two tools cover most of what you need to monitor menu performance:
| Tool | Purpose |
|---|---|
| Point-of-Sale Systems | Track sales data. |
| Inventory Management Software | Monitor stock levels. |
For a broader look at what's available today, see the roundup of restaurant technology tools operators use to run smarter in 2026.
The fundamentals haven't moved. Stars still need promoting, Dogs still need cutting. But the operating environment has shifted. The NRA's 2026 State of the Restaurant Industry report found that 42% of operators were unprofitable, making passive menu management a real margin risk beyond a missed opportunity.
The core toolkit remains the same. What's different is how fast that data can move from your system to your menu board.
Menu engineering is only as good as the data behind it. When phone orders go unanswered or get taken manually and never keyed into your POS, your product-mix reports are off before you even open a spreadsheet. Loman is a 24/7 voice AI phone agent built for restaurants that captures every inbound call, takes the complete order, and pushes it directly into your POS, so phone volume lands in the same reporting your kitchen and management tools already read.
That matters for menu engineering in a concrete way. Contribution margin calculations and popularity rankings depend on a full picture of what sold. Operators running Loman alongside their POS have reported up to 22% higher phone revenue and up to 17% lower labor costs, and because every phone order flows through the same kitchen workflow as counter and kiosk tickets, the sales data you use to classify Stars, Plowhorses, Puzzles, and Dogs reflects what actually moved. Crust Pizza reported that Loman AI paid for itself in 10 days, with phones calm and tickets bigger from day one.
If you want to see how Loman fits your specific POS setup, you can book a live demo and watch it handle a real call against your menu. No re-keying, no missed orders, and no gaps in the data your menu decisions depend on.
Divide the ingredient cost of a dish by its menu price to get food cost percentage. A dish that costs $8 to make and sells for $20 runs a 40% food cost. Contribution margin is the difference between those two numbers ($12 in that example), and it tells you which items are actually building profit per sale instead of merely moving volume.
These four categories sort every menu item by two variables: profit margin and sales volume. Stars are high-profit and high-popularity items you promote front and center; Plowhorses sell well but carry thin margins and need a price or portion adjustment; Puzzles earn strong margins but rarely get ordered and need better placement or descriptions; Dogs do neither and are candidates for removal.
If phone orders never make it into your POS, because a call went unanswered or was taken manually and never keyed in, your sales mix data is incomplete, and your item popularity rankings are off before you even start the analysis. An AI phone agent integrated with your POS, like Loman, captures every phone order and pushes it directly into the same system your kitchen and reporting tools read, so your contribution margin and sales volume data reflect what actually sold.
Menu engineering rewards operators who run the numbers consistently and act on what they find. Close the loop between what sells, what it costs, and what your menu shows customers, and the margin gains compound over time. That loop depends on complete data, every order, every channel, every shift. Loman captures the phone orders that would otherwise go missing, pushing them straight into your POS so your product-mix reports reflect what actually sold. The discipline pays off most when your data systems are as consistent as the analysis you apply to them.
Enter your information in the form to receive a call from Loman and place an order like a customer would!
