ORBIT Restaurant Intelligence

Turn real questions
into clear decisions.

Explore common restaurant decisions and see the kind of evidence ORBIT can bring together before you act.

One question. A clearer way to decide.

Watch ORBIT investigate why customers may be choosing nearby cafes, then turn the evidence into an answer you can act on.

Illustrative example

Should I lower my prices?

Compare public menu prices, review language and nearby offers before making a permanent price change.

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Example evidencePublic menu pricesReview languageNearby promotionsCompetitor positioning

Price position vs. nearby restaurants

Illustrative comparison using public menu prices and ratings

Your restaurant

Illustrative example

Why is the cafe nearby busier?

Compare observable demand signals and choice frictions instead of guessing that the answer is food, price or marketing.

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Example evidenceRecent review activityPublic postsParking/accessGroup suitability

Recent public demand signals

Illustrative index combining recent review activity, crowd/queue mentions and social attention

Relative index
Your restaurant64
Nearby cafe100
1.6×stronger public demand signal

Illustrative example

What are customers really talking about?

Group public review language into recurring themes and separate what attracts customers from what repeatedly frustrates them.

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Example evidenceGoogle/review sitesTheme frequencySentiment by themeCompetitor reviews

Review theme share

Illustrative share of recurring themes in a public review set

Example review set
100%theme mentions
Food32%
Service24%
Price18%
Waiting time14%
Parking12%

Illustrative example

Is getting here costing us customers?

Check the real journey from discovery to arrival: parking, walking distance, visibility, wayfinding and nearby alternatives.

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Example evidenceMaps & walking routesParking informationReview mentionsEntrance visibility

Arrival friction

An illustrative path from main road to restaurant

800 m area

Illustrative example

Why do bigger groups choose somewhere else?

Look for public signals that one practical objection can veto the restaurant for the whole group.

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Example evidenceGroup-related reviewsParking mentionsTable/seating visibilityReservation information

What group-friction mentions are about

Illustrative share of group-related friction found in public reviews and posts

Theme share
34%Parking
28%Seating
21%Queue
10%Price

Illustrative example

Which menu items actually pull people in?

Compare public attention, positive review language and perceived value to see which items create a reason to choose you.

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Example evidenceMenu visibilityReview mentionsSocial postsValue language

Public attention by menu item

Illustrative index combining item mentions, positive language and visible social attention

Relative index
Signature dish94
Set lunch78
Dessert64
Sharing platter53
Premium special38