04 · Food Program

Your menu, answered.

Every cover, every check, every line item — for every shift you've ever run — read by your RLM. Sales mix, margin, daypart performance, modifier attach rates, seasonal patterns. The items pulling weight, the items pretending to. The items that should be making money but aren't. The menu meeting, done before you sit down.

And every cover sharpens the read.

Item-level detection

Modifiers. Attach rates. Upsell patterns.

Below the dish level: which modifiers are driving the margin and which are eating it. Which appetizers actually attach to which entrees. Which servers upsell better than the team average on each item. The granular signal that explains why some items punch above their weight and some don't.

  • Modifier-level revenue attribution — every add-on's contribution to the check
  • Attach rates between courses, items, and modifiers — what comes with what
  • Per-server upsell performance per item — who pushes the special, who doesn't
  • Comp and void analysis at the item level — quietly bleeding margin, surfaced
  • Slow-mover and dog detection with margin context, not just volume
  • Every modifier added or skipped feeds the attach-rate model. Tomorrow's specials writeup is sharper.
Seasonal recognition

Every season, remembered.

Your full historical sales mix — every cover, every check, every line item, for every shift you've ever run — is in the model. Your RLM sees this December against last December and the December before. The item that always pops in shoulder season, the dish that always tanks in July, the wine that's been quietly building for three years. Patterns no human team would catch sitting at a screen.

  • Full historical sales mix from day one — never a 13-week window
  • Year-over-year and multi-year comparisons by item, category, daypart
  • Seasonal pattern flagging — items that consistently rise or fall on the calendar
  • Holiday and event-day performance baselines per item
  • Weather-correlated demand modeling per item — what rain does to the soup, what heat does to the salad
  • Every season the model has watched makes its next prediction sharper. December year three is read in context of December year one and two.
Marketing tie-in

Items that need a push, already in next week's plan.

Your Food Program doesn't just analyze — it acts. Items the RLM thinks need a marketing push automatically surface in next week's Channel Playbook. Items that are over-margin and under-volume. Items that performed last September and could perform again. Items that match the seasonal weather forecast. Your menu and your marketing, talking to each other. Without you in the meeting.

  • Top-margin / under-volume items automatically flagged for marketing push
  • Hero items at risk of mix-cannibalization called out before they slip
  • Seasonal performers surfaced in next month's plan three weeks ahead of their window
  • New menu items get an A/B-able rollout plan in the Content Calendar
  • 86 the items that aren't earning their menu real estate — we're 86ops, after all
  • Every push that worked feeds the next push. The tie-in tunes itself.

See your menu,
answered.

A walkthrough of menu intelligence, daypart performance, modifier attach rates, and the marketing tie-in — running on a real restaurant. We'll show you what your menu has been telling you all along.

Request a live demo

30 minutes. No deck. Just your operation, our questions, and a scoped proposal inside a week.