The Silicon Review ^Asia

Online food delivery platform, such as Zomato and Swiggy are betting on Artificial Intelligence (AI) and Machine Learning (ML) to take their business to the next level.

The process is being carried out with the help of old data accumulated from food orders and user-level consumption patterns.

According to both the companies, they handle more than a million orders per day across over 300 cities. Now, each order is being influenced by the customer’s previous order history of order preferences.

Swiggy claims to have 1.3 lakh partner restaurants on its platform and Zomato boasts of 1.5 lakh restaurants. Therefore, these food tech apps are using data to tap demand because they have a large supply base in place.

One of the top-level executives of Swiggy said the company processes close to 40 billion messages on a daily basis. The messages are the data points purged from the customer’s orders or from the delivery team. And according to him, the scale will likely touch 100 billion messages within a period of one year.

Swiggy was reportedly working on a concept known as food graph. It will break down a food dish by recipe, ingredients used, cooking style, calorie value, and variations of the dish.

One of the spokespersons from Zomato said that the company currently provides a business dashboard for restaurants on the web as well as the app.