Bengaluru-based food delivery major Swiggy is looking to incorporate artificial intelligence (AI) -driven speech recognition models for its call centre process. The company has partnered with BPO and social enterprise IndiVillage to power the platform's broader AI and machine learning (ML) charter. This engagement will also include voice annotation work that provides training data for Swiggy's ML algorithms. Swiggy, in its press statement, explained that there is a need to efficiently extract information from the call data when a call centre service executives move from one call to another. This will help the executive understand the'voice of the customers' to enable a deeper understanding of the issues faced by customers and accordingly solve for the same.

BENGALURU: When food tech company, Zomato, let go of around 540 of its support staff last week, it said that improvement in its after-sales technology had forced its hand. The automation made almost 10% of the workforce in certain support roles across Zomato's customer, merchant, and delivery partner teams, redundant. While routine jobs will continue to give way to automation, food tech firms like Swiggy and Zomato are increasingly turning to machine learning (ML) and automation to drive their businesses, using years of data accumulated from food orders and user-level consumption patterns. And each customer order is now being influenced by the customer's own previous history of order preferences. Swiggy boasts of more than 130,000 restaurant partners on its platform, while Zomato claims to have added around 150,000 restaurants. With such a large supply base in place, both the food tech apps are now solving for demand, mainly using data.

Sign in to report inappropriate content. The SPJIMR Family had the honor to host the top minds from the industry, talking about how their organisations are leveraging Artificial Intelligence to turn more data-driven, in turn impacting business innovation, and make the world a more sustainable and inclusive space! The video features Dale Vaz, who is the Head of Engineering & Data Science at Swiggy, discussing how Swiggy enables hyper-active Logistics, innovating at a magnificent scale, using Artificial Intelligence and Machine Learning to deliver to the end consumers.

Bengaluru: Zomato let go of about 540 of its support staff members previous week it stated improvement in its after-sales technologies forced its hand. The automation created for nearly 10% of the workforce in support roles that are certain across Zomato's buyer, merchant, and shipping and delivery partner teams, unwanted. Food-tech company Zomato & Swiggy are now turning into technologies like Artificial Intelligence and Machine Learning to drive their business using data collected from food orders and patterns at user-level consumption's. Over a million orders in a day and across more than 300 countries are dealing with Swiggy and Zomato. Every customer order is currently being affected by the customer's very own previous history of order preferences.

Bengaluru: When food-tech company Zomato let go of around 540 of its support staff last week, it said improvement in its after-sales technology forced its hand. The automation made up for almost 10% of the workforce in certain support roles across Zomato's customer, merchant, and delivery partner teams, redundant. While routine jobs will continue to give way to automation, food-tech companies such as Swiggy and Zomato are increasingly turning to machine learning (ML) and automation to drive their businesses, using years of data accumulated from food orders and user-level consumption patterns. And each customer order is now being influenced by the customer's own previous history of order preferences. Swiggy boasts of more than 1.3 lakh restaurant partners on its platform, while Zomato claims to have added around 1.5 lakh restaurants. With such a large supply base in place, both food-tech apps are now primarily using data to tap demand.

AI has led to multiple custom web development companies working with startups that are in the food domain. They're competing with major corporations in the field and are giving them tough competition based on their unique AI-infused offerings. While many food ordering apps are acquiring these companies, some of them are competing with them directly. The AI in the food domain industry is cropping up and allowing all companies to gain technological leverage in the field. "In addition to our dedicated delivery fleet (the largest in the country), AI models help us ensure that we provide a highly accurate delivery promise to our customers and efficiently meet that promise. We use AI/ML across this three-way marketplace to deliver a wow customer experience, unlock business growth and drive operational efficiency" – Dale Vaz, Head of Engineering and Data Science, Swiggy.

Timely delivery is often a critical deciding factor for the ever-impatient customers to choose service A over service B. Hence, operations/logistics team is a key enabler. The attrition rate in large frontline teams is high, close to 75 percent annually. Yet most companies have aggressive growth targets, necessitating recruitment of high volumes of workers constantly. High-growth companies in this domain like Zomato and Swiggy, grew by more than 50-60 percent by the end of 2018, recruited tens of thousands of delivery boys every month. Vahan Inc. has developed an AI-driven virtual assistant that helps logistics companies scale and automate their hiring process by leveraging the common addiction of messaging applications like WhatsApp and FB messenger. In this talk, the speaker will cover in detail how they developed a complete data collection and natural language processing pipeline for Indian languages and built a chatbot over Whatsapp which is currently connecting companies like Dunzo, Zomato, Swiggy & Rapido Express with potential frontline workers and fulfilling the hiring requirements of this industry in a scalable and autonomous fashion.

With people examining further into the universe of innovation, artificial intelligence or AI is presently ubiquitous. Interestingly, albeit artificial intelligence is an innovation of interest at this moment, the idea has been around for over seven-plus decades now. With increased awareness about the transformative intensity of AI, the adoption of AI is presently being seen across numerous enterprises. From enormous banks like HDFC Bank to e-commerce business players like Pepperfry, AI is being utilized for a large variety of use cases. Eyeballing is of fundamental significance in the credit decision procedure, and the bot emulates a human by eyeballing the client demographics for the individuals who have applied for advances against the already existing base.

In the past two years, Swiggy, the Naspers, DST Global and Bessemer Ventures-funded restaurant aggregator, has been on a tear. The number of interactions on its platform since October 2017 has gone from 2 billion (across consumers, riders and restaurants) to 40 billion in January 2019. In that time, Swiggy has gone from a business working with 12,000 restaurants to over 55,000; from seven cities to 70; from delivery staff of 15,000 to 120,000. The Bengaluru-based venture has become far more valuable, too -- from $700 million in February 2018 to $3.3 billion by the end of the year. This dizzying growth has meant that Swiggy, a firm founded as recently as 2014, has to look beyond human intervention to keep pace.

New Delhi: Driven by a surge in online food orders especially among millennials, leading food delivery platforms are embracing Artificial Intelligence (Ai) in a big way to better read fast-changing consumer behaviour, minimise errors and enhance customer experiences. According to Bengaluru-based research firm RedSeer, the Indian online food delivery market is expected to hit $4 billion by 2020 and to handle and leverage terabytes of data for delivery efficiency has led food aggregators Swiggy and Zomato bet big on AI and Machine Learning (ML). "Swiggy's mission is to bring unparalleled convenience into the lives of urban consumers. We do this by operating a three-way, hyper-local marketplace where we match consumer demand with supply from restaurants and delivery partners," Dale Vaz, Head of Engineering and Data Science, Swiggy, told IANS. "We use AI/ML across this three-way marketplace to deliver a wow customer experience, unlock business growth and drive operational efficiency," added Dale, who joined Swiggy in July last year from Amazon India.