Last Update
Oct 24, 2018
Today’s users have already used to make their choice via a uniform platform: it is very handy when you can find all facilities matching the required criteria at once, read reviews and see ratings. Thus, Booking.com has become the global standard for choosing hotels, Uber—for calling taxi, and Yandex.Market is onwards and upwards on the Russian retail market. But if there is almost no alternative to choosing a hotel via Booking.com or booking an apartment via Airbnb, in the catering industry there is no single solution yet.
There is a great number of such marketplaces for restaurants which cover opening of new restaurants, provide ratings and reviews, and offer search filters and themed selections. But these portals are used mostly for information purposes: there you can only learn about a restaurant but not order from it. The lack of electronic menu for a good half of restaurants posted on such resources is a serious problem. When we choose a hotel, a hairdressing salon or any other good or service, we look at the price and it is one of key criteria of choice. But as for restaurants, everything is more complicated. There is no "fixed" price for the service (except for business lunches), therefore restaurant aggregators have chosen a model of an "average bill” of a catering facility based on a self-perception either of the portal’s editor or the catering facility itself. Many people are misled by indicating such “average bill” value as an actual cost which accounts personal preferences of a guest remains unclear. There is a market demand for an opportunity to calculate the cost of visiting of this or that restaurant from home and to decide whether you want to taste something from the suggested menu.
What is Gastery app about?
For guests of the restaurant it is:
For business it is:
JANUARY 2017
JANUARY - JULY 2017
SEPTEMBER - NOVEMBER 2017
DECEMBER - FEBRUARY 2018
MARCH - MAY 2018
JUNE 2018
JULY 2018
AUGUST 2018
SEPTEMBER 2018
OCTOBER 2018
NOVEMBER 2018
DECEMBER - JANUARY 2019
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Verified 33%
Attention. There is a risk that unverified members are not actually members of the team
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