Zoomcar’s AI & Data Science Roadmap For 2021

Zoomcar has been instrumental in driving the digitalisation of the self-drive ecosystem in India. The entry of recent gamers into the area is a testomony to the expansion potential of the trade.

On the again of his spectacular monitor report within the city transportation area, Greg Moran spearheaded a self-drive mannequin — Zoomcar, in 2012. The firm holds the excellence of being India’s first private mobility platform, with the introduction of car-sharing providers in 2013. Currently, Zoomcar is the market chief within the private mobility area, with over 6,000 automobiles in its fleet.

Analytics India Magazine received in contact with Markish Arun, the Chief Technology Officer of Zoomcar, to grasp its AI and information science roadmap for 2021 and the way it addresses the information science expertise crunch available in the market.

Zoomcar launched India’s first car mannequin agnostic Driver Score Tech Stack for the passenger automobile section. As per Arun, the AI-Powered algorithm with machine studying capabilities tracks the mechanical specs of the automobile and the driving model of the shopper, together with monitoring and score of important occasions of driving. This permits the operational items to have full visibility of the automobile motion, situation, estimated time of arrival and demanding eventualities for your entire journey.

Arun mentioned, “Armed with more data-driven capabilities, the data science team of Zoomcar started building new models to upgrade its mobility-as-a-service portfolio.”

Also Read: How Zoomcar Is Using Machine Learning To Grow Its Fleet Size To 1 Lakh Cars

AI Engine

Zoomcar has launched a proprietary AI-powered B2B SaaS providing — Zoomcar Mobility Services (ZMS) to scale back working prices, improve security, enhance car monetisation, and enhance buyer engagement. ZMS algorithm works on a direct correlation of a car being pushed with its accident and sustaining prices. “The algorithm analyses the various vehicle events such as acceleration, clutch, braking, etc.,” mentioned Arun. “It then maps it with the weather, terrain and traffic to compare this information with that of its previous data of dangerous events that may have resulted in accidents.” Based on this, a singular rating is assigned to constantly show that the autos pushed by clients with greater driver scores have decrease accident charges.

Zoomcar has additionally been leveraging AI within the type of conversational bots to handle buyer queries. The AI bot guides the shopper to the consultant desk in case of any additional queries. It understands the essential NLP in buyer queries. Alongside, Zoomcar’s AI-powered fleet administration system ensures excessive asset availability on the proper place and time. “Linear programming-based optimisation models help achieve it. We also have dynamic pricing to curate the best prices for the prospective renters and subscribers,” mentioned Arun.

Furthermore, the corporate has constructed predictive upkeep to service the car on the proper time and minimise breakdowns. “This also helps in reducing the maintenance costs of the cars. That is not all; we are also actively making the best use of technologies like computer vision and deep learning algorithms to advance the system,” added Arun.

The predictive maintenance model is used to observe the automobile’s situation, the place the structured information assist the workforce to run a pre-maintenance technique. This functionality allowed Zoomcar to foretell automobile parts that require frequent upkeep. The firm has additionally developed an AI-powered dynamic pricing mannequin to supply the very best costs to the shopper after analysing the demand curves of automobiles with geo-locations. 

“The company critically depends on the Internet of Moving Things (IoMT) enabled shared mobility, that empowers a keyless entry (KLE) ecosystem wherein a user can lock or unlock a car through a mobile app and have a seamless trip experience without any human intervention,” mentioned Arun.

For excessive demand areas like metros, the corporate has additionally deployed a data-driven mannequin to handle the demand and predict the quantity of necessities. The system signifies and categorises geo-locations primarily based on demand. Further, to retain clients, it leverages a retention mannequin primarily based on ML algorithms and data analytics.

Data Science Culture

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Arun mentioned the corporate began growing information science fashions with a workforce of 25 members that included data scientists, information engineers, and enterprise analysts. The unit makes use of MYSQL DB, Time scale DB, Redshift, and MemSQL to retailer and course of the information.

Despite the pandemic, the corporate has been aggressively hiring information scientists for its workforce. As per Arun, Zoomcar ensures steady expertise bench energy in order that attrition doesn’t impression the enterprise.

“Apart from traditional hiring methodologies like social media platforms, job portals and employee references, we also use unconventional methods of talent hunting like hackathons, case study competitions and online technical quizzes to engage and attract both passive and active prospective hires,” mentioned Arun. “We also advise our tech leads to promote tech talks and technical blogs to share the complex problems Zoomcar is solving.”

Arun additionally highlighted among the technical competencies like reporting and information visualisation, making use of statistical evaluation, predictive modelling and machine studying, and proficiency in programming languages to be part of Zoomcar’s data science team. In phrases of sentimental abilities, Zoomcar is in search of fast studying capabilities, good problem-solving abilities, high-end consumer focus, glorious communication abilities, very good time and activity administration, and workforce participant.

To practise and promote cross-learning and coaching within the organisation, the corporate makes use of a program referred to as LEAP — “this is the easiest way to access an internal pool of talent for immediate fulfilment of talent crunch, especially for engineering and product function, which is typically overlooked by most of the organisations.”

Wrapping Up

Right from reserving a automobile on its app to selecting up and dropping the automobile via the idea of keyless entry, Zoomcar has fully automated the shopper journey cycle. With a robust deal with the cellular expertise, the corporate permits customers to lease automobiles by the hour, day, week, or month. With its new launch — ZMS, the corporate goals to curb accidents charges, insurance coverage declare fraud and enhance buyer retention charges, concluded Arun.

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