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“>
New Delhi
: The growing demand for EVs (electric vehicles) in India is driven by the need to customise customer experiences. This can be supported by AI (artificial intelligence), which can act as a relationship manager to address buyers’ essential needs. AI can provide recommendations and facilitate tailored conversations, whether in pre-sales or after-sales.Additionally, AI can offer insights into customer behavior and vehicle maintenance, improving the overall experience and reducing failures, as stated by Kapil Bajaj, Head of Digital Transformation at MG Motor India, during the ninth edition of the ETAuto EV Conclave 2024. This technology can also help in understanding customer behavior patterns throughout the ownership journey.
Discussing the buyership journey, Vinkesh Gulati, VP of the Automotive Skill Development Council (ASDC), delved into the potential of AI in the dealership space. Adoption in this area has been limited, as dealerships may not have the robust AI tools necessary to make sales processes more efficient.
For instance, AI can help personalise interactions by understanding customer needs through non-verbal cues made by the salesperson during the buying process. However, the focus should be on how sales consultants can effectively use digital tools, with more emphasis on digital proficiency than just product knowledge.
This is further supported by companies that help frame AI technologies to solve problems for various stakeholders (customers, sellers, and support teams). “AI tools need to be practical and specific to customer needs to create real value,” said Arun Subramanian, CBO & Co-founder of Sharpsell.
Skill development and training for EVs
Whether for EV technologies, internal components such as batteries, drivetrains, and chargers, or external components like charging infrastructure, there is a growing demand for regular monitoring and predictive maintenance using AI, said Santanu K. Mishra, Professor at the Center for Automotive Research and Tribology (CART) at IIT Delhi.
A skilled workforce is essential to address current challenges in EV infrastructure, such as non-operational EV charging stations, which require skilled servicing.
Mishra further emphasised the need for academic and professional courses focused on the indigenous development of EV technologies and the associated skill gaps. This would help ensure the sustainability of the EV ecosystem and bridge the gap between industry requirements and available skills.
This also requires an emphasis on indigenization in EV manufacturing and services in the country. By focusing on local production and knowledge, India can strengthen its EV ecosystem.
Industry leaders agree that AI has become a crucial part of the automotive industry, but its potential has yet to be fully realised. They are particularly concerned with the problems faced by different stakeholders—customers, sales consultants, and support teams. The development of specialised skills and indigenous technology would be key to driving EV adoption in the country.
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Industry leaders agree that AI has become a crucial part of the automotive industry, but its potential has yet to be fully realised. They are particularly concerned with the problems faced by different stakeholders—customers, sales consultants, and support teams. The development of specialised skills and indigenous technology would be key to driving EV adoption in the country.
“>
New Delhi
: The growing demand for EVs (electric vehicles) in India is driven by the need to customise customer experiences. This can be supported by AI (artificial intelligence), which can act as a relationship manager to address buyers’ essential needs. AI can provide recommendations and facilitate tailored conversations, whether in pre-sales or after-sales.Additionally, AI can offer insights into customer behavior and vehicle maintenance, improving the overall experience and reducing failures, as stated by Kapil Bajaj, Head of Digital Transformation at MG Motor India, during the ninth edition of the ETAuto EV Conclave 2024. This technology can also help in understanding customer behavior patterns throughout the ownership journey.Discussing the buyership journey, Vinkesh Gulati, VP of the Automotive Skill Development Council (ASDC), delved into the potential of AI in the dealership space. Adoption in this area has been limited, as dealerships may not have the robust AI tools necessary to make sales processes more efficient.For instance, AI can help personalise interactions by understanding customer needs through non-verbal cues made by the salesperson during the buying process. However, the focus should be on how sales consultants can effectively use digital tools, with more emphasis on digital proficiency than just product knowledge.
This is further supported by companies that help frame AI technologies to solve problems for various stakeholders (customers, sellers, and support teams). “AI tools need to be practical and specific to customer needs to create real value,” said Arun Subramanian, CBO & Co-founder of Sharpsell.
Skill development and training for EVs
Whether for EV technologies, internal components such as batteries, drivetrains, and chargers, or external components like charging infrastructure, there is a growing demand for regular monitoring and predictive maintenance using AI, said Santanu K. Mishra, Professor at the Center for Automotive Research and Tribology (CART) at IIT Delhi.
A skilled workforce is essential to address current challenges in EV infrastructure, such as non-operational EV charging stations, which require skilled servicing.
Mishra further emphasised the need for academic and professional courses focused on the indigenous development of EV technologies and the associated skill gaps. This would help ensure the sustainability of the EV ecosystem and bridge the gap between industry requirements and available skills.
This also requires an emphasis on indigenization in EV manufacturing and services in the country. By focusing on local production and knowledge, India can strengthen its EV ecosystem.Industry leaders agree that AI has become a crucial part of the automotive industry, but its potential has yet to be fully realised. They are particularly concerned with the problems faced by different stakeholders—customers, sales consultants, and support teams. The development of specialised skills and indigenous technology would be key to driving EV adoption in the country.