ENHayde for every kind of restaurant
The same QR menu engine powers cafés, bars, food trucks, hotels, and multi-location chains. Pick your industry to see what changes — and what stays the same.
Coffee shops
Daily specials, allergen-tagged pastries, fast loads on 4G for the morning rush.
Fine dining
Tasting menus, wine pairings, sommelier notes, video on signature dishes.
Bars
Cocktail menus with photos, happy-hour pricing, age-restricted item handling.
Bakeries
Rotating fresh items, very high-intent allergen filters, photos for impulse purchase.
Food trucks
One QR follows the truck between locations. Daily specials, offline-tolerant menu.
Hotels
In-room dining and pool bar via the same QR pattern. Auto-language detection.
Chains & multi-location
Central menu, per-location overrides, regional pricing, unified analytics.
One engine, different priorities per venue
The menu engine is the same everywhere: a QR code or NFC tag opens the menu in the guest's browser, with no app to install, in 5 languages including full Hebrew RTL. What changes per venue is which parts matter most — a bakery lives or dies on allergen filters and a fresh-today section, while a food truck needs one code that follows it between locations.
Pick your industry above for the specifics. If you run more than one site, the multi-location page covers a central menu with per-location price overrides and unified analytics. Every plan starts with a 14-day free trial and no credit card.
Common questions
Is the product different per industry?
No — it is one platform. The industry pages differ in which features they lead with, and in the setup advice, not in what you get.
What if my venue fits two categories?
That is normal — a hotel with a pool bar, or a bakery that also serves coffee. Nothing is gated by industry, so you can use every feature regardless of which page you arrived from.
Do I need different QR codes per location?
You can do either. One code can follow a food truck between locations, or you can issue per-location and per-floor codes when you need to tell them apart in analytics.