Modeled intelligence
This tab shows how the product stops being a menu and becomes a decision tool. Every card below is demonstrational and intentionally modeled.
Recommended moves
Reframe Ekala Pkhali (Seasonal)
Treat it as a presentation problem first, not a demand problem.
Promote Desserts
Introduce desserts earlier so guests see them before mentally closing the meal.
Use Grill & Mains as a control block
It can anchor A/B tests because it already attracts stable intent.
Separate tourist behavior by time
Model a dedicated 20:00 to 22:30 visitor path for non-local language users.
Guests open this section early in dinner service, then return to it after first-round drinks.
Suggested action
Move this category into the first visible row during peak hours.
The item looks interesting enough to inspect, but the current presentation does not close the decision.
Suggested action
Refresh the photo first, then test a tighter description.
That usually signals stronger evaluation behavior, not necessarily stronger intent to order.
Suggested action
Use shorter decision cues for English and deeper detail blocks for Russian.
These tables reopen dish details more often and spend longer in comparison behavior.
Suggested action
Use these tables for placement experiments and higher-margin upsells.
Visibility alone is not enough when the item story and first image are weaker than the alternative.
Suggested action
Swap copy or photography before allocating more prime placement.
Guests discover sweet options deep into the journey, after most primary decisions are already made.
Suggested action
Bring desserts forward earlier in the browsing path or after mains.