What gets attention—but few order clicks?
Test the description, price presentation or placement. Treat the gap as a prompt to experiment, not proof of why guests paused.
Understand Human Desire
Your next best-selling dish starts with a craving.
CraveOS wraps a physical product in an interactive, measurable experience—helping restaurants make dishes easier to explore, links easier to share, and marketing decisions easier to test.
Where Menus Turn Into MarketingSee It. Crave It. Taste It.
Context intelligence
What prompts the next action?
1,000
Product views
180
Order clicks
18.0%
View → click
Median first-view-to-order-click
2m 18s
Guests are already near the point of choice. Test menu placement and product clarity.
Illustrative data — not measured CraveOS results. Each context uses a hypothetical 1,000 product views. Current demo activity is browser-local, not central production analytics. Time-to-purchase requires a verified transaction integration.
Before the receipt
A receipt shows the purchase. The journey can reveal what happened before.
A controlled product experience can connect context, exploration and intent before an order click. It is not mind-reading. It observes actions on instrumented CraveOS pages and links—not image pixels across the internet.
01
Visual asset
02
Context
03
Exploration
04
Intent
05
Action
Verified purchase and revenue can enter this journey only through a future transaction integration.
Questions worth testing
Signals become useful when they change the next decision.
What gets shared?
Test the creative and product story that travel beyond the table. Sharing is an interest signal, not a guaranteed purchase.
Which source drives intent fastest?
Compare instrumented QR, shared-link and campaign visits, then allocate test budget toward the strongest observed pattern—without inferring causality.
Context changes the question
Compare intent without pretending correlation is causation.
Use consistent denominators to examine how instrumented sources behave. Then design the next test around the observed pattern.
Context intelligence
What prompts the next action?
1,000
Product views
180
Order clicks
18.0%
View → click
Median first-view-to-order-click
2m 18s
Guests are already near the point of choice. Test menu placement and product clarity.
Illustrative data — not measured CraveOS results. Each context uses a hypothetical 1,000 product views. Current demo activity is browser-local, not central production analytics. Time-to-purchase requires a verified transaction integration.
Historical industry context
Operators are investing in the guest experience.
These 2024 survey figures provide context—not current 2026 findings, CraveOS performance, or a guarantee of outcomes.
76%
of operators surveyed expected technology to give them a competitive edge.
National Restaurant Association · Apr 25, 202460%
planned technology investment to enhance customer experience.
National Restaurant Association · Apr 25, 202464%
of full-service operators prioritized digital or location-based marketing investment in 2024.
National Restaurant Association · Apr 25, 202448% / 52%
of surveyed consumers were comfortable ordering by QR in full-service / limited-service restaurants. QR complements hospitality; it is not a universal preference.
National Restaurant Association · Apr 25, 202494%
Separate cross-industry evidence
Shopify reported a 94% average conversion lift for merchants adding 3D content. This is a vendor-reported ecommerce finding from May 11, 2022—not a restaurant or CraveOS result, not causal proof, and not a guaranteed lift.
Shopify changelog · May 11, 2022Hypothetical opportunity calculator
Make the assumptions visible.
This is a simple scenario tool, not a forecast. Change every input—including zero—and use your own operating assumptions. No CraveOS pricing is implied.
$
%
$
Incremental revenue
Estimated incremental contribution
Formula: monthly orders × assumed incremental revenue per order = incremental revenue; incremental revenue × contribution margin − incremental monthly costs = estimated incremental contribution.
Capability honesty
Build evidence in stages.
Available in demo
- Explore detailed dish models
- Supported-device AR placement
- Share links and branded photos
- Browser-local demo activity
Pilot validation
- Central event collection
- Instrumented source attribution
- Baseline and comparison design
- Measured business-effect testing
Roadmap
- Verified purchase integrations
- Consent-based social activation
- CTV activation where eligible
- Platform-dependent integrations
AR availability depends on browser, device and platform support. Review clicks are not posted reviews. CraveOS does not claim automatic retargeting, track copied raw images, or currently measure production purchases.
Pilot invitation
Start with a small set of products and a clear question.
No invented promise. No arbitrary timeline. Define the baseline, instrument the experience and compare what actually happens.
- 01Choose featured products
- 02Prepare photo and 3D assets
- 03Define success and baseline
- 04Run the pilot with a comparison
Aaron Thaler
Founder, CraveOS
FAQ
Short answers. Clear boundaries.
Is CraveOS a POS or payments system?
No. CraveOS is a controlled product experience around physical commerce. Verified purchase measurement depends on a future transaction integration.
Does it track guests across the internet?
No. Attribution follows activity on instrumented CraveOS pages and links. It does not track copied raw images across the internet.
Does AR work on every phone?
No. 3D exploration is broadly available, while AR depends on supported devices, browsers and platform capabilities.
Are the numbers on this page CraveOS results?
No. Intelligence panels are clearly illustrative. Industry figures are historical, dated and linked to their original sources.