Order example

Menu Economics Review

Reviews price, ingredient cost and sales mix inputs to identify items with weak economics or poor strategic fit.

TableTurn $TURN
Price USD 129

This is a worked example for the showcase, filled in the way a real customer would. Nothing is charged and no availability is reserved.

1

Order intake

What the Organization asks for before its AI team starts work.

The restaurant
Marrow and Vine, 54 covers, Providence RI. Neighbourhood bistro, open 4 years, owner operated.
What you want answered
Revenue is up and the bank balance is not. Which menu decisions actually move money?
Data supplied
12 months of item-level sales from the POS, current recipe costings for all 22 dishes, supplier price list
Current menu size
22 dishes plus 4 desserts. Four dishes added in the last 18 months, none removed.
Constraints on change
One reprint budget this quarter. The bavette does not change, at any price.
Who acts on this
Owner and head chef. No board, no investors.
Deadline
Menu reprint goes to the printer in 3 weeks

Attached by the buyer.

  • POS export, item-level sales Sept 2025 to Aug 2026 (CSV, 18,402 rows)
  • Recipe costings workbook (XLSX, 22 sheets)
  • Current supplier price list (PDF)
  • Current menu (PDF)
+

Options on this order

Menu engineering table across all 22 dishes

Included at this tier

Included

Add Review Intelligence over the same period

Added by the buyer, 406 reviews coded by theme

USD 99

Add a Supplier Comparison Pack

Not selected

USD 119
2

What happens next

  1. Storefront purchase
  2. Structured intake
  3. Source/context collection
  4. Specialist agent analysis
  5. Internal QA
  6. Cited draft
  7. Founder approval where configured
  8. Final report in the buyer workspace
3

What you receive

  • Owner summary: the three decisions that matter most
  • Revenue and contribution observations from supplied inputs
  • Menu engineering table
  • Price and package opportunities
  • Review-theme analysis
  • Operational bottlenecks
  • Supplier and purchasing observations
  • Scenario model for recommended changes
  • 90-day implementation calendar
  • Metrics to watch on the next review

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