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Business analytics in Zomato & swiggy food chain

 

  Founded in 2008, Zomato offers services like restaurant discovery and reviews, home delivery, online table reservation, digital payments when dining out, etc. It also works with restaurant partners to provide tools to engage and acquire more customers while empowering them with last-mile delivery services, alongside a one-stop procurement solution, Hyperpure, for ingredients and kitchen supplies. 

     
It has been expanding their customer base at an exponential rate with the help of AI, using data analytics to provide a curated list of restaurants on the customer’s landing page, based on their location and preferences. Specially Artificial intelligence helps swiggy to differentiate between veg and non veg meal. 

      They also use an image classifier to group images under food categories as well as Natural Language Processing (NLP) — which simulates the understanding of human languages — to let users search for food items using colloquial terms. ML predicts a lot of challenges in real-time, including last-mile delivery of food orders, allocation of delivery partners, estimation of time for restaurants to prepare food, grooming of delivery partners, assessing fake reviews, etc. “Solving these unknowns helps us provide better customer experience and improve business metrics by either reducing costs or increasing the revenue,” says Ram Singla, VP of Technology at Zomato. 


     











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