MenuWright
AI menu engineering for independent restaurants — profitability and popularity classification, dollar-impact recommendations, and POS or CSV ingestion.
- Classify every item on the classic profitability × popularity matrix.
- AI recommendations with projected monthly dollar impact.
- Connect Square or import CSV/Excel sales history.
- Weekly email digests and monthly PDF deep dives.
MenuWright is in active development. Square is connected in sandbox mode while production app review is pending — see the Square guide.
Get started
Sign up, bring your menu and sales data, and run your first analysis.
Menu matrix
Learn the Kasavana–Smith method and the four-quadrant classification.
Square connection
Connect your Square account and sync catalog and sales automatically.
CSV import
Import sales history and food costs without a POS.
Billing and plans
Free, Core, and Pro plans — flat monthly pricing, no usage meters.
Reports
Weekly email digests and monthly PDF deep dives.
The decision path
Bring your data
Connect Square or import sales and food costs as CSV/Excel.
Classify the menu
Every item is scored on profitability and popularity and placed in a quadrant.
Get recommendations
AI suggests reprice, promote, bundle, or cut actions with projected monthly impact.
Act and track
Apply the changes, then watch the next analysis reflect the impact.
What MenuWright is for
Independent restaurants run on tight margins, and most menu decisions are guesses. MenuWright turns the sales and cost data a restaurant already has into a clear answer: which items to protect, promote, reprice, or cut — and roughly how many dollars each move is worth.
It is built for the owner or operator who wants an opinionated next action, not another dashboard to interpret. Every recommendation names the item, the action, and the projected impact.
FAQ
No. Connect Square for automatic catalog and sales sync, or import your menu and sales history as CSV/Excel. A sample-data mode lets you explore the workflow without any data.
MenuWright still works — it classifies by popularity and revenue. Once items have food costs, it unlocks true contribution margins and the full profit-based matrix.
Every record is scoped to your restaurant, and Square credentials are encrypted at rest. See the FAQ for the data boundaries.