---
title: "Restaurant Data Standardization & Taxonomy • CompanyProspect"
description: "In-house classifier models place every venue in one taxonomy of format, service model, cuisine and dishes, and normalize ratings, menu prices and tech, so a filter returns comparable restaurants in any city or country."
url: https://companyprospect.com/platform/data-standardization
---

# One taxonomy. Classifier models. _Filters that hold everywhere._

In-house classifier models place every venue in one taxonomy of format, service model, cuisine and dishes, and normalize ratings, menu prices and tech, so a filter returns comparable restaurants in any city or country.

[See it in the workflow](https://companyprospect.com/#delivery-tech) [Get a free sample](https://companyprospect.com/sample)

One account record, with a row per field family. The names and figures are invented.

Accounts / **Larkin Group**

Account Larkin Group

**Footprint**

**10 locations** · 12 years

**Cuisine and dishes**

Chicken Fried chicken

**Menu and pricing**

**$9.00** median

**Ratings and reviews**

**4.5** weighted

**Delivery and tech**

DoorDash Uber Eats Toast +6

**Brand and ownership**

Chain Larkin Group

In business 12 years Larkin Group

Taxonomy

## Classified, not keyword-matched.

Classifier models read each venue's categories, name and menu and place it in one taxonomy, so "quick-service", "Fast Food Restaurant" and "comida rápida" become one value.

- Format, service model, cuisine and dishes
- One value per venue, not free text
- The same values in every market

Values as each source writes them, classified into one taxonomy. The names and figures are invented.

Taxonomy / **Format**

Taxonomy Format

| As the source writes it | Standard value |
| --- | --- |
| quick-service | Quick service |
| Fast Food Restaurant | Quick service |
| comida rápida | Quick service |
| Sit down | Casual dining |
| fast-casual | Fast casual |

Classifier model One value per venue So a filter means one thing in every market

Ratings and reviews

## One satisfaction score. Reviews counted once.

Ratings from every source are normalized to one scale, reviews are deduplicated across sources, and their growth velocity is calculated in-house from the review history.

- Normalized satisfaction across sources
- Reviews deduplicated across sources
- Growth velocity from the review history

A venue's ratings from each source on one scale, its reviews counted once, and how fast they grow. The names and figures are invented.

Restaurants / Juniper Kitchen · Midtown / **Reviews**

Ratings and reviews Juniper Kitchen · Midtown

Maps listing **4.6**

Delivery app **4.4**

Review site **4.3**

**Satisfaction**

**4.5** of 5, normalized across sources

**Reviews**

**1,310** counted once across sources

**Growth velocity**

**+38 a month** from the review history

Calculated in-house Review velocity Rising faster than 9 in 10 peers

Dishes and prices

## One dish, whatever the menu calls it.

Dishes are classified into one dish taxonomy and their sizes into standard classes, so median prices and core dishes compare like for like across menus.

- "Marg. Pizza 12in" and "Pizza Margherita (Lg)": one dish
- Sizes classified, prices on a 14-inch basis
- Median price and core dishes per venue

Dishes written differently on each menu, classified into one dish and a standard size. The names and figures are invented.

Taxonomy / **Dishes**

Dish taxonomy Pizza

| As the menu writes it | Dish | Size |
| --- | --- | --- |
| Marg. Pizza 12in | Margherita pizza | Medium · 12 in |
| Pizza Margherita (Lg) | Margherita pizza | Large · 14 in |
| Classic Cheese & Basil | Margherita pizza | Large · 14 in |
| Pepperoni Pie, Personal | Pepperoni pizza | Personal · 8 in |
| Pep. Pizza 16" | Pepperoni pizza | Extra large · 16 in |

Sizes classified Prices on a 14-inch basis So menus compare like for like

## Keep reading

[Platform **Market mapping** Every restaurant in the market. Independents included.](https://companyprospect.com/platform/market-mapping) [Solutions **CRM enrichment** Your target accounts, with no missing columns.](https://companyprospect.com/solutions/crm-enrichment) [Solutions **AI agents** Restaurant intelligence, inside your AI agents and pipelines.](https://companyprospect.com/solutions/ai-agents)

## What about _your own market?_

Tell us who you sell to. We hand-build a free sample within 48 hours.

[Get a free sample](https://companyprospect.com/sample)