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New FeatureConsole
today

Menu Engineering Chart

We’re excited to introduce the Menu Engineering Chart under Console>Reports>Analysis Reports>Menu Engineering, a powerful new analytical view that helps restaurant owners and operations managers make smarter, data-driven menu decisions.

This feature categorizes menu items based on popularity and profitability, giving you a clear picture of what to promote, improve, or reconsider.


📊 What’s Included

Each menu item is plotted on a menu engineering chart and automatically classified into one of four performance categories:

  • 🟢 Star — High popularity, high profitability
  • 🔵 Workhorse — High popularity, low profitability
  • 🟡 Challenge (Puzzle) — Low popularity, high profitability
  • 🔴 Dog — Low popularity, low profitability

Each data point represents a single product.


📈 Chart Metrics

  • Popularity: Calculated as a percentage (0–100%) based on sales volume
  • Profitability: Item Profit (Contribution Margin), displayed with a dynamic currency based on country

For each product, you can view:

  • Product name
  • Sales count (عدد المبيعات)
  • Item profit (ربح الصنف)


🧭 How to Use the Menu Engineering Dashboard

Use the chart to guide strategic menu decisions:

  • Stars:

    Promote and maintain — these items drive both sales and profit.

  • Workhorses:

    Popular but low-margin items. Consider cost optimization, portion adjustments, or price revisions.

  • Challenges (Puzzles):

    High-margin items with low popularity. Improve visibility, positioning, marketing or promotion to increase sales.

  • Dogs:

    Low sales and low profit. Evaluate whether to rework or remove these items from the menu.

You can also compare products within the same category, identify trends over time, and export the data for deeper analysis or sharing with your team.


💡 Why This Matters

The Menu Engineering Dashboard transforms complex sales and cost data into actionable insights, enabling you to continuously optimize your menu, improve profitability, and align offerings with customer demand.