Menu analytics scaffold

Menu Engineering (Popularity vs Profitability)

Classify items as Stars, Plowhorses, Puzzles, or Dogs using contribution and velocity thresholds you control.

Menu dataset

Enter price, cost, and weekly sales for each dish to plot popularity vs profitability.

ItemPriceCostWeekly salesActions

Popularity multiplier

Items selling this multiple of the average count as popular.

Margin threshold (%)

Minimum margin % to count as high-profit.

Item	Margin	Margin %	Weekly sales	Quadrant
Burger	$10.50	66%	320	Stars
Salmon	$14.25	59%	140	Puzzles
Fries	$4.15	69%	410	Stars
Caesar	$7.50	63%	180	Puzzles

Once storage lands, results persist locally with codex.menu_engineering.v1.

Contribution margin per item vs. sales volume drives quadrant placement.

Thresholds can use mean, median, or manual overrides.

Allow users to choose thresholds via mean, median, or explicit values and indicate which method is active.
Handle items missing contribution data by surfacing a mapping warning.
Ensure scatter plot remains legible with extreme outliers by clamping scales or showing tooltips.

Seed dataset places benchmark items into the expected quadrants (Stars, Plowhorses, Puzzles, Dogs).
Adjust thresholds and confirm quadrant counts update immediately.
Reload and verify codex.menu_engineering.v1 restores last filters and threshold choices.

We store your inputs on this device to resume your work; not shared or used for ads.

Visualizations and tactic tips landing in upcoming releases.