How are different food delivery companies using data science to boost their business?

The online food ordering trend in India is gaining more prominence and delivery platforms such as Swiggy. Zomato, Faasos (now Rebel Food) are increasing their reach exponentially. These delivery platforms are making use of data science to lift their business and expand their base.

What is the role of data science in the food delivery industry?

Online food delivery companies deal with huge sets of data. These sets of data are in the form of customer orders, GPS service, location of the customer, reviews, etc. Data scientists of the food delivery companies extract valuable information from the data and increase the sales and guarantees build brand image and help in building a special bond and relationship with customers.

With digital transformation, we can see that the food delivery industries are adopting data science effectively to serve improved services and to compete in the market. Through the data collected from the customers, they understand their customers and determine their tastes and preferences.

According to research, the food delivery market is predicted to reach $5 Billion by 2021. As observed, data science is the driving force behind such an increase. The food delivery companies are optimizing data science to a large extent to enhance customer experience and boost business.

How do different food delivery companies make use of data science? This article will take you through a comparative analysis between Swiggy, Zomato, and Faasos.

Swiggy

Swiggy has always emphasized food delivery with the utmost convenience to the urban lives of the country. It uses data science to deliver improved customer experience and drive operational efficiency. Swiggy collects huge sets of data from customer demand and supply, from vendors like restaurants and stores, and delivery executives. This data is extracted for getting insights to increase delivery efficiency and to connect customers to the right restaurants. Swiggy also provides an app through which both the company and the customers can get information. The app helps the customers to track their order, to know the delivery time, to give a review, to chat with the executive if required, to see ratings, etc, and all these increase customer experience. From the company's side data science is used to differentiate food dishes from images and categorizing and separating them as veg and non-veg dishes.

Zomato

 As seen in the case of Swiggy, how it uses data science to increase customer experience and uplift its business, Zomato being its competitor is not dropping its way to the competition. The food delivery company uses data science to provide order personalization like providing recommendations to the customers. Recommendations as in specific cuisines, locations, price, brands, etc. because of the personalized recommendation, there has been an improvement of 15% in the click-through rates and order conversions. The data scientists of the company extract insights from the data that is collected from reviews and help the team to find out the most popular dish and to understand a customer's sentiments.

Rebel Food (Formerly Faasos)

Data science plays a vital role in Rebel Food. They execute many stimulating data science use cases like personalization, recommendation engine, predictive analytics, customer engagement, dynamic pricing, visual computing, sentiment analysis of customer's reviews, etc. To implement personalization the company collects huge amounts of data which is interpreted by the data scientists to enhance customer experience.

Whether Swiggy or Zomato or Faasos, all use data science to improve customer experience and uplift their businesses. Where Swiggy is using data science to provide fast food delivery, Zomato is using it to serve personalized recommendations to the customers. On the other hand, Faasos is using data science for dynamic pricing. The only thing that makes a difference between them is the market share.