FAMILIAR / LOW FRICTION
Classic Chicken
Rs 1,800Roasted potatoes · herb jus
Some of your most valuable dishes
are also the
hardest to choose.
High-value, unfamiliar, and portion-sensitive dishes often need more explanation than a flat menu can provide.
EMBER SIGNATURE
Dry-Aged Ribeye
Rs 3,500320g · pepper glaze · smoked shallot
Which dish would you need more information about first?
A clearer decision starts before the plate arrives
Diners don’t taste
before they buy.
Before the plate arrives, the restaurant is selling an expectation.
Restaurants have already made menus
more visual.
Photography helped. Digital menus helped. Great staff help.
But some questions still begin after the customer opens the menu.
The menu went digital.
The decision didn’t.
A QR code changed where the menu lives. It didn’t change what the customer can understand.
→
A photograph shows
one angle.
The rest is still imagination.
0° — 84°
When confidence drops,
familiar choices become easier.
The issue is not whether the premium dish looks good. It is whether the guest understands enough to choose it.
- Unfamiliar dish
- ↓
- Unclear portion
- ↓
- More questions
- ↓
- More hesitation
- ↓
- Familiar choice becomes easier
What would change
if customers could
inspect the dish themselves?
320Gserves one
THE MENU ANSWERS
“Is that enough for me?”
Portion information becomes visual, not abstract.
What if the menu
could answer before
the guest needed to ask?
Better understanding for guests. More time for hospitality.
PHOTO → DIMENSIONAL PREVIEWSEE THE SIZE.SEE THE SHAPE.SEE THE PLATE.Before ordering.
Now size
isn’t a guess.
Place a calibrated dish at true scale on the table. On mobile, supported dishes hand off to native AR.
VIZUAL.
VIZUAL.
Visual commerce
for restaurants.
We turn real restaurant dishes into interactive 3D and true-scale AR experiences customers can open directly from the menu.
No app required.
Don’t take
our word for it.
Become the diner. Open EMBER’s menu and decide what information feels useful.
Enter Ember →Live restaurant menu · Powered by VizualExplore a
scenario.
Use your own assumptions to compare two ordering patterns. Nothing is preloaded.
YOUR SCENARIOEnter your own assumptions
Illustrative only. Not a performance forecast or guarantee.
PRICE DIFFERENCE—×ORDER DIFFERENCE—
Your current session
You just did what
your customers do.
Enter EMBER to create a real interaction trail. When you return, this section becomes your evidence.
- 01Dish opened—
- 023D opened—
- 03Inspection—
- 04AR requested—
- 05Added—
DINER VALUE → RESTAURANT VALUEThey experience food.
They experience food.
You see intent.
Most menus tell you
what sold.
Vizual also shows
where interest stopped.
See which dishes attract attention, and where that attention fails to convert.
EMBER / LIVE INTENT
CURRENT SESSIONDecision signals
CURRENT SESSION
No dish opened yet
Enter EMBER to create an interaction trail from this visit.
Real dish in.
Digital dish out.
A controlled production process protects the plate’s scale, material, and identity.
→→→→
CAPTURE
Start with the real plate.
Controlled light and multi-view capture preserve the dish the kitchen actually serves.
Keep the menu.
Add the experience.
Test selected dishes without rebuilding how your restaurant works.
Your current menu
Integrate into the pages and QR behavior guests already use.
Your staff workflow
No dramatic retraining or new table-side script.
The app download
Customers browse, inspect, and place directly from the browser.
With selected dishes
Learn on one high-potential dish before expanding.
No app.
No new habit.
SCAN→BROWSE→INSPECT→PLACE
Not every dish
needs Vizual.
Use it where understanding changes the decision—not where another visual layer adds no value.
BEST FIT
- Signature dishes
- Premium dishes
- Sharing platters
- Unfamiliar cuisine
- Presentation-heavy dishes
- Visually layered dishes
LOWER FIT
- Bottled drinks
- Simple packaged items
- Low-value commodity items
Start with one dish
Which dish should customers
understand better?
Start with the dish customers ask about most. Capture it, publish it, and learn before deciding what comes next.
Capture · 3D model · AR-ready asset · Menu integration · QR access · Basic analytics