AI-Powered Pricing

Your diners should dictate your prices

Let the finance bros control your costs

Calibrate your restaurant pricing with how diners perceive your brand and menu

Model output example
Double Double (Animal Style)
-23%

Model: 6.59 | Retail: 5.15
Beef PattyAmerican CheeseBurger BunLettuceTomatoOnionPickleSpreadMustard
Nachos BellGrande
22%

Model: 5.85 | Retail: 7.19
Seasoned Ground BeefNacho Cheese SauceSour CreamNacho ChipsRefried BeansTomato
Grilled Nuggets (12 count)
24%

Model: 10.11 | Retail: 12.59
Chicken Nuggets
Loyal diners = savvy diners They understand the value of what they order
Price perception matters They know how much they should be paying for their next meal
Our Process

How It Works

01

Quantify brand value by dining segment, overall quality, and market positioning

Quantify
02

Build menu items analyzing ingredient composition

Build
03

Calculate prices using proprietary machine learning model

Calculate
04

One size doesn't fit all therefore prices are localized to consumer density geographic markets

Localize
Insights

Menu Value Proxies

Price variance bar chart
alloplate bullet point View full item ingredient composition
alloplate bullet point Spot menu value imbalances by individual ingredient
alloplate bullet point Gain insights into margin movement without needing to dig through invoices
What We Offer

Platform Features

apPricing

Machine Learning powered model calibrates pricing with accuracy relative to similarly positioned brands and ingredient composition

Ingredient Composition

The least likely ingredient could be causing your margins to plummet. Spot these immediately with smart visualizations.

Market Price Scanner

Monitor peer and competitor price changes

Indirect Costing

No time for invoice based costing? We can help you best approximate costs with our deep analysis market tracker.

Contact Us

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