Data Analytics of Restaurants using AI

At present, there are 4.3 million restaurants worldwide. With such a huge number of restaurants, the level of competition between them to attract interested customers will increase, thereby affecting the sales market the most. Various surveys have shown that customers rely a lot on online reviews and ratings given by previously visited customers and then try a new restaurant or cuisine. This is because customer reviews affect the sustainability of the restaurant business. There are various websites and applications like Zomato, Trip Advisor, and similar models that focus only on customer satisfaction services, but not regarding business satisfaction services/models. If some of them still include the business side of these services, they would not give their 100 percent as customer services are much more in demand. Taking insights from these, this paper focuses mainly on the concept of reviews and ratings to create a web platform that will provide enormous options according to the expectations and needs of the business consumer/consultancy companies and help them analyze the entire restaurant market in an area based on what type of cuisine is the most tried, number of ratings and many more important parameters. This can be a successful venture between businesses and restaurants, which will help in expanding the restaurant community according to the real-time data of a particular region/area.