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Menu engineering and pricing analysis

Automates menu engineering analysis by collecting sales data, calculating profitability metrics, and generating pricing recommendations to optimize menu performance and increase profit margins.

Workflow Trigger

Monthly menu performance review period begins

Visual Flow

Each node represents an automated step. Connections show how data and decisions move through the workflow.

Step-by-Step Breakdown

Detailed explanation of each automated stage in the workflow.

  1. 1
    Trigger

    Start monthly menu review

    Workflow automatically triggers on the first day of each month to begin comprehensive menu analysis. Sets up data collection parameters for the previous month's performance.

  2. 2
    Action

    Extract sales and cost data

    Pulls detailed sales data for each menu item from POS system and ingredient costs from inventory management platform. Combines data to calculate item-level profitability metrics.

  3. 3
    Action

    Calculate menu engineering metrics

    Computes popularity rankings, profit margins, and contribution margins for each menu item. Creates menu engineering matrix categorizing items as stars, plowhorses, puzzles, or dogs.

  4. 4
    Decision

    Identify underperforming menu items

    Evaluates items with profit margins below 65% or popularity rankings in bottom 25%. Routes high-cost, low-popularity items for pricing adjustment recommendations.

  5. 5
    Action

    Generate pricing recommendations

    Creates suggested price adjustments based on cost analysis, competitor pricing, and demand elasticity. Calculates projected revenue impact for each recommendation.

  6. 6
    Action

    Update menu pricing automatically

    Applies approved pricing changes directly to POS system and online ordering platforms. Schedules implementation for next business day during off-peak hours.

  7. 7
    Output

    Deliver menu performance report

    Generates comprehensive dashboard showing menu profitability analysis, implemented changes, and projected financial impact. Sends report to management team with actionable insights.

Outputs

  • Updated menu prices in POS system
  • Menu engineering performance dashboard
  • Profitability improvement recommendations

Key Metrics

  • Average profit margin per menu item
  • Revenue per customer
  • Food cost percentage

Tools & Integrations

OA

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