UNDERSTAND THE PEOPLE BEHIND YOUR TRAFFIC

Build a clearer model of your customers.

EateryIQ’s AI camera system processes restaurant visits to estimate age, sex, and ethnicity. Those observations build an aggregate demographic model of your restaurant’s customers, giving you more context for brand, location, and operating decisions.

Discuss demographic reports
Age, estimated sex, and ethnicity distributionsCustomer composition by restaurant and time periodA customer model that informs site-selection analysis
EateryIQ IntelligenceSample dashboard

A clearer customer picture

Aggregate model estimates · fictional observations

Sample observations8,432
Largest estimated age group25–34 39%
Face pictures savedNone

Estimated age

18%39%24%13%6%39%age 25–34
18–2418%
25–3439%
35–4424%
45–5413%
55+6%

Estimated sex

46%49%5%49%male estimate
Female46%
Male49%
Unclassified5%

Estimated ethnicity

32%55%13%32%Hispanic / Latino
Hispanic / Latino32%
Not Hispanic / Latino55%
Unclassified13%

The camera system builds demographic models without saving pictures of faces. Attributes are AI estimates; preview data is fictional and does not describe real patrons.

Sources + custom analytics + AIExplore demographic reports
WHAT THE SERVICE BRINGS TO YOUR TEAM

Understand customer patterns through aggregate reports, without a library of face pictures.

AI camera observations

Turn observed restaurant visits into demographic estimates that can be organized and reviewed as aggregate reporting.

A model of your actual restaurant audience

Understand the composition of observed visitors at your restaurants instead of relying only on a general trade-area profile.

Location and time comparisons

Review customer composition across restaurants, time periods, and dayparts to understand how your audience varies.

Face pictures are not saved

The system uses AI to estimate demographic attributes and build reporting. It does not save pictures of patrons’ faces.

Face pictures are not saved.

The AI camera system estimates demographic attributes and builds aggregate customer models. It does not save pictures of patrons’ faces. Estimates are model outputs, not verified personal identities.

THE DATA & CONTEXT

A more complete input picture.

AI camera observations from your restaurants

Model-estimated age, sex, and ethnicity

Restaurant, time-period, and daypart context

Aggregated customer-demographic distributions

THE DECISION WORKFLOW

From information to action.

1The AI camera system observes restaurant visits.

2AI estimates demographic attributes.

3Observations are aggregated into customer models.

4Reports provide context for restaurant and growth decisions.

Demographic attributes are model estimates, not verified or self-reported identities. Preview charts use fictional, aggregate sample data.

LET’S WORK ON YOUR PRIORITY

Understand the customers your restaurants serve.

We’ll shape the conversation around your restaurants, data, and goals.

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