Wine n Dine Partners with Resy in New York City Diners can discover best dishes and book a reservation to eat, all within one app
Wine n Dine (http://winendine.com/), the food-centric social discovery app that pinpoints the best restaurants and dishes around the world, is announcing a partnership with restaurant booking platform, Resy (https://resy.com/). Wine n Dine users in New York City can now make reservations through the app at some of the hottest spots around the city. This new functionality makes it easier for users to share and experience food without the need to jump from app to app to browse restaurant dishes and then reserve a table. The technology will roll out in other U.S. cities in the coming months, with plans to eventually have it available globally.
Wine n Dine Co-founder Adam Cooper explains, “The ability to offer seamless reservation bookings through Resy’s API is another way we’re working to create better dining experiences for our customers. Our food community values the power in discovering the best menu items and now we’re making it frictionless to select a table for their next meal.”
Through the partnership, the Wine n Dine community will be able to book reservations at partner restaurants in NYC including Estela, Pasquale Jones, Charlie Bird, Lilia, Sushi Seki, and Hillstone. Consumers can make and change reservations, within a seven day window.
“The team at Wine n Dine has taken a unique and potent approach to curating the world of delicious food. We’re thrilled to be partnering with them to help match voracious eaters with great restaurants,”says Ben Leventhal, CEO and co-founder of Resy.
The Wine n Dine community has captured images at over 75,000 restaurants in 6,200 cities worldwide. The app has earned an international following, and a growing network of tastemakers sharing their favorite dishes from around the world. It also features various options including: Dish Feed (user generated images of food being shared by friends), Wanna Try (save dishes and restaurants, all stored within a user’s feed), Restaurant Pages (dishes are grouped and ranked algorithmically based on popularity and quality), Explore (algorithmic