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CARS24 announces voice-recognition experience on Google Assistant

Shreoshree Chakrabarty December 23, 2020
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A unique experience has been announced by CARS24, an online transaction platform for pre-owned automobiles, using Google Assistant. This experience will enable the users to sell cars online using the convenience of voice. Using CARS24’s algorithm-based tool, customers can arrive at a valuation for their cars which in turn will enable them to sell their cars easily and quickly.

For a car seller, lack of data along with the fragmented nature of the industry is the biggest drawback which makes it the most prominent pain point for them. Every pre-owned car has a unique price and has its own unique journey. The CARS24 price evaluation tool is unique and sets a mark in India’s pre-owned auto market. The accurate valuation of a car is done using a robust algorithm in the tool based on various attributes including inspection report, model, mileage, age and others. Based on the mentioned factors and demand-supply conditions in the market, it helps them determine the price of their vehicle more accurately and it is designed to be user-friendly for the car sellers. Thousands of cars which get auctioned at CARS24, pricing engine takes inputs from everyday prices of those cars.

Gajendra Jangid, Co-founder and CMO, CARS24 said, “We are glad to roll out this feature to help our customers get an up-to-date valuation of their cars via our advanced algorithm-based tool and simplify the buying and selling process. As a tech enabled platform, we are continuously investing in our technology to advance our tools and making the journey of our customers hassle-free.

All the devices that support Google Assistant, will support this feature. Google Nest Mini, Nest Hub and others that support Google Assistant will also support this. Asking “Ok Google, Talk to CARS24”, is all you need to do.

Massive growth in the post-lockdown era has been witnessed by the new entrant in the Unicorn club and projects the same trajectory in the coming year. Investment in technology and data sciences lay its foundation.

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