How is Zomato, India’s leading food delivery company planning to pull off the impossible by leveraging the power of Data?

10-minutes delivery is not possible at all! This fastest delivery creates a risk to the rider’s life! How harsh steps Zomato must have taken?

A well-established name in the food delivery industry & on March 21, the big food aggregator announced “Zomato Instant”. The CEO of the company, “Deepinder Goyal” said, “Nobody in the world has so far delivered hot and fresh food in under 10 minutes at scale, and we were eager to be the first to create this category, globally!" Many customers and restaurants have raised their concern on social media about the quality and freshness of the food. Further, the CEO of Zomato clarifies that such a procedure applies to “popular and standardised items” only.

What are the obstacles for the Zomato in 10-minute delivery?

Not one, two or three but many more works as a barrier for the Zomato fast delivery services. The food delivery giant of the Indian market has to look for these issues and prepare strategies accordingly.

So, the issues that might appear in the path of Zomato 10-minute delivery.

  • Risk to driver
  • Traffic
  • Freshness and quality of food

These hurdles can be passed and possible by the largest food delivery partner. The answer is “data transformation and analytics”.


How the problem is actually being resolved? 

Predictive Analysis! Yes, you heard the right thing. The solution box of Zomato is data prediction. Zomato forms finishing stations with the 25-30 bestselling items from partner restaurants. The largest food delivery partner has a broad consumer dataset with the most preferred food. The company predicts items ordered by the user and kept in the nearby food stations. The things will be solved through:

  • Data Analysis
  • Predictive Analysis
  • Data Warehousing

Zomato is establishing food stations in every locality, and food delivery drivers could work in 1-2 km area. With its presence in 80 cities in India, the company can easily predict things with the ordered data of the user. The company is also investing heavily in new technology to make kitchen preparation time 2-4 minutes. The concept applies to breakfast menu items and the predictable demand of the customer.

So, that's all!
The data and it’s predictive analysis are two core components that support Zomato to reach this milestone. If they did, Zomato might get a good hike in the upcoming years and also increase in revenue by a fair margin. The advancement of technology and predictive analysis helps the food delivery partner to strive in the market and make all predictions wrong about them.

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