Project Description
Description
Problem and Trends:
Recent years have seen an impressive development and diffusion of web applications to food domains, e.g., Yelp, TripAdvisors. These mainly exploit text for searching and retrieving food facilities, e.g., restaurants , caffè , pizzerias . The main features of such applications are: the location and quality of the facilities, where quality is extrapolated by the users’ reviews. More recent options also enable search based on restaurant categorization, e.g., Japanese , Italian , Mexican . To goes beyond this limitations we created Appetitoso , an innovative approach for finding restaurants based on the dishes a user would like to taste rather than using the name of food facilities or their general categories.
In particular, the interest in food from tourists has gained increasing attention over the past years. Tourists are attracted to local produce and many destinations are centering their product development and marketing accordingly.
Solution:
Appetitoso is an app and a web site to discover the best traditional dishes and flavours that an area has to offer. From wine and steak in a cozy osteria in the Florence countryside to a carbonara in a working-class trattoria in Rome. Appetitoso helps you to do not miss the possibility to live an amazing food experience and enjoy a place even through its gastronomic specialities.
Business Model
Value Proposition
Appetitoso is a Business to Consumer (B2C) model, which the value proposition is the following:
- Find the best places where to eat the dishes that the user has in mind;
- Break the food habits suggesting to the user new ideas on what to eat.
Appetitoso tries to answer to the need:
“I want to eat a good special food or a typical dish prepared by a restaurant in my area!”
When we have to choose a restaurant, often we wonder what we want to eat.
- “I’m going to Florence, where can I eat the best t-bone steak?
- “Which are typical dishes to try in Rome?”
- “I’m going out with my girlfriend, which tasty dishes can we eat?”
The content we suggest to our users are selected with one simple constraint:
“We do not suggest dishes and places where we would never go”.
We believe that in this sense the value proposition is clear, we are like the local person that you can always trust.
Customer segments
ser Interests analysis
After the segmentation, we sampled on social network (e.g. Facebook) a set of users that could represents our ideal user and we tried to characterize them looking at their interests.
Principal interests
- Travel
- Food (restaurants and tv shows)
- Arts
- Tv show with high social interaction (e.g. X-Factor)
- Photography
Most common interests
- Reviewing the places where they have been been
- Usually like other food bloggers blog (not always)
- They have almost all expressed their musical tastes
- They follow famous people, important
- They are part of various social groups on the (many different)
Revenue streams
We analyzed the possibility of making revenues through advertising directly in the app, buy in-app and also through freemium models.
Team
Gianni Barlacchi
Rodrigo Silva