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HomeNewsZomato takes a technological leap: Initiates experiments with generative artificial intelligence to...

Zomato takes a technological leap: Initiates experiments with generative artificial intelligence to revolutionize services

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Zomato, the popular food and grocery delivery platform, has joined the ranks of companies eager to enhance the customer experience through cutting-edge technology. Sources have revealed that Zomato is now actively experimenting with generative artificial intelligence (AI). By incorporating this innovative technology into their operations, Zomato aims to streamline their services and provide customers with an even smoother and more efficient experience.

One of the sources revealed that the company based in Gurgaon, along with owning the quick commerce platform Blinkit, has intentions to expand its team by hiring engineers specialized in machine learning, data science, and natural language processing. The purpose behind this recruitment drive is to enable the development of AI-based products.

“Zomato has appointed a head of AI product development to drive these efforts,” the person said, adding that the team will be looking to integrate AI into various customer interfacing features such as search and notifications, in addition to backend tools such as product photography, customer support, etc. These tools will be built for both Zomato and Blinkit.

“A large part of customer communications within the app are already automated…but the integration with generative AI will be able to handle the increasing loads more efficiently and effectively,” the person added.

The development was confirmed by a spokesperson from Zomato.

According to the spokesperson, “Over the past year, Zomato has tuned neural networks that predict food preparation and delivery time, amongst other things. Similarly, Blinkit has used machine learning to optimise supply-chain cost and reduce delivery times.”

“We are experimenting with generative AI. For example, Blinkit now provides almost unlimited recipes, along with ingredients required, on its app,” he addded.

Internet companies worldwide are rapidly integrating AI tools to enhance their services.

Recently, MakeMyTrip Founder Deep Kalra revealed the company’s ambitions to harness the power of generative AI in order to build core capabilities. As part of this initiative, MakeMyTrip intends to collaborate with industry leaders to develop and refine advanced AI tools tailored for their online travel agency platform.

It has come to light that Zomato is actively engaged in product development within the AI domain, collaborating with notable companies such as Google, Adobe, OpenAI, Microsoft, and more. By partnering with these industry leaders, Zomato aims to leverage their expertise to enhance and innovate its offerings in the field of artificial intelligence.

“Zomato and Blinkit have continuously hired engineers with machine learning skills for the past few years,” the Zomato spokesperson said. “We are always on the lookout for talented engineers who can help us develop new models to create services that delight the customers and bring efficiency to business processes.”

In a recent blog post, Albinder Dhindsa, the Chief Executive of Blinkit, shared exciting news about the development of “Recipe Rover.” This innovative engine, powered by ChatGPT and Midjourney, was created by a dedicated team of engineers and a product manager at Blinkit. Its primary function is to suggest recipes and assist users in finding the necessary ingredients.

ChatGPT and Midjourney are two distinct generative AI engines crafted by prominent entities in the field. ChatGPT is an innovative creation of OpenAI, while Midjourney Inc., based in California, has developed its own advanced generative AI engine. These engines possess unique capabilities and contribute to the cutting-edge advancements in the field of AI technology.

The tech world has been captivated by the remarkable abilities of generative AI models like OpenAI’s ChatGPT and Google’s BARD. These models have gained significant attention for their capacity to tackle intricate inquiries, generate code, and produce content by leveraging expansive language models. By accepting straightforward text inputs, they are capable of delivering human-like responses, showcasing the immense potential of these large language models.

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