Here’s Ashok Leyland’s expansion story that’s led by AI, IT News, ET CIO



Here’s Ashok Leyland’s expansion story that’s led by AIWith income of Rs 17,563 crore and 125,000 automobiles bought in FY20, Ashok Leyland is India’s business automobiles behemoth. The corporate is the world’s largest provider of defence logistics automobiles. It’s the fourth largest producer of buses and the tenth-largest producer of vehicles globally.

Whereas the corporate is increasing its enterprise, AI-led digital transformation is supporting its enterprise development.

In response to Venkatesh Natrajan, the corporate’s CDO, Ashok Leyland was an AI-supported group, then it remodeled into an AI-enabled organisation and now, the corporate is aiming to develop into an AI-led one by constructing plenty of capabilities.

Natarajan additionally believes that the outputs of utilizing AI should additionally align with the enterprise goals. “This can be a essential filter that now we have in order that we do not take any digital or AI initiatives only for the sake of it and now we have clear minimize enterprise objectives which now we have achieved via every of the use instances,” he stated.

The business automobiles producer has established a separate group specializing in enterprise analytics referred to as the Analytics Middle of Excellence. The group has been skilled in knowledge science and is specializing in driving AI throughout the group.

In Ashok Leyland’s knowledge science workforce, of us from the enterprise aspect are additionally part of it who act as analytic evangelists. Their function on this workforce is to determine challenges that their respective enterprise capabilities are presently dealing with and the way AI-enabled analytics can actually play a task.

Ashok Leyland’s tech workforce is a mix of in-house and outsourced the place greater than 100 folks lie within the former class.

Whereas the corporate began its digital transformation journey a decade in the past, in 2016, the corporate began digital not just for bettering efficiencies or constructing digital for enterprise optimization but in addition for producing new revenues and constructing new enterprise fashions.

This was achieved with the launch of 4 digital platforms—iAlert, a linked automobiles platform; Service Mandi; LeyKart, a digital commerce platform for promoting real Ashok Leyland spare elements; and e-Diagnostics.

In 2019, Natarajan got here out with the ABCD technique (every letter denoting a know-how of focus–artificial intelligence, blockchain, conversational platforms, and digital twins, respectively).

“Whereas constructing digital property will proceed, the ABCD technique was established to additional turbocharge the present property.”

Now the corporate is connecting all of the digital dots i.e. integrating digital property, merchandise and platforms to realize enterprise worth.

“Earlier, we had been doing analytics, then we began prognostics and we’re shifting in direction of cognitive providers. With analytics, we had been figuring out patterns with the information, with predictive capabilities, we began forecasting what might occur within the close to future and now with cognitive, we will the following degree of AI the place we will allow human-led selections utilizing the identical knowledge.”

Utilizing AI for saving prices

The corporate’s AI-led digital initiatives have helped prospects in stopping quite a few instances of car breakdowns and likewise helped prospects keep away from extra prices.

iAlert allows real-time fleet monitoring throughout varied automobile parameters. It brings collectively superior Car Well being Monitoring Diagnostics and Experiences & analytics capabilities to supply helpful knowledge on automobile’s efficiency, predict service necessities, helps prospects plan upkeep schedules.

When a automobile comes for servicing, the service engineer already is aware of how it’s performing. Leveraging AI-driven prognostics, the corporate is ready to determine potential areas which might result in automobile breakdown sooner or later and get it corrected even earlier than a criticism is raised.

“This has been helpful for all stakeholders. For us, it reduces our guarantee prices, for the dealerships, it enhances income, and for purchasers, it ensures uptime for the following Four-5 months until the following service is due,”

One other instance of price financial savings is an answer for gas pilferage which helps prospects keep away from the extreme price of becoming an extra gas sensor (prices round Rs 10,000 to 12,000) to determine the quantity of gas misplaced.

“This was achieved through the use of data-driven insights. Based mostly on our onboard engine management system, ECU (Electonic Management Unit) knowledge and our gas sensor knowledge, we had been in a position to construct AI logic appropriately and we at the moment are providing that service to our prospects.”

AI can be being utilized in sample recognition and predictive evaluation. The corporate has round 18 variants of ECU (Electonic Management Unit) in BS-6 and greater than 1500 error codes. The automaker makes use of its personal proprietary algorithms to foretell which error codes can happen within the automobiles primarily based on previous historical past.

If a buyer’s automobile has encountered an error ABC on the automobile and visited the service outlet for a similar, the corporate is ready to predict whether or not different errors (DEF for example) can occur on the automobile sooner or later or not.

ML algorithms are additionally getting used for cross-selling elements. A instrument recommends extra elements to retailers via a cross-selling strategy to reinforce the elements income.

With the large availability of knowledge, the automaker has been in a position to create a reside respiration digital mannequin of vehicles–digital twin.

Digital twins are fuelled by the mixing of knowledge from a number of sources–manufacturing knowledge, servicing knowledge, automobile operational knowledge.

Digital twin makes use of knowledge associated to automobiles after they’re produced and utilized by prospects. These are repeatedly evolving fashions that may quickly cut back the time between designing to manufacturing, manufacturing to service, and repeat providers, repeat points.”



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