Today, JSW MG Motor India announced its partnership with Kotak Mahindra Prime Limited (KMPL) to offer a finance solution for its innovative Battery-As-A-Service (BaaS) ownership program to EV customers.
The BaaS (Battery as a Service) program is an innovative ownership model that effectively lowers the upfront costs associated with electric vehicle (EV) acquisition with a promoted streamlined and economical ownership experience.
Speaking on the occasion, Gaurav Gupta, Chief Growth Officer of JSW MG Motor India said, “Our pursuit for innovation is relentless and we remain committed to create experiences that enhance consumer delight. With BaaS, we have created a disruption in the market and created a benchmark in the Electric Car industry. It remains our priority to enhance its reach through various finance partners, to enable rapid EV adoption. I welcome and thank the KMPL team for partnering with us to extend the BaaS concept to customers. KMPL’s vast network and connection with dealer partners will surely be an added advantage for enhanced penetration of the unique BaaS concept, thereby boosting our EV sales.”
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Sharing views on the partnership, Vyomesh Kapasi, Managing Director and CEO at Kotak Mahindra Prime Limited said, “At KMPL, we are dedicated to driving innovation in vehicle financing. We are excited to partner with JSW MG Motor India on their pioneering BaaS EV ownership program. This collaboration aims to enhance the EV financing ecosystem in India by offering innovative and customer-friendly finance products across various segments. We are confident that this partnership will further strengthen our finance offerings and support the adoption of electric vehicles.”
About JSW MG Motor India
SAIC Motor and JSW Group formed a joint venture – JSW MG Motor India Pvt. Ltd. in 2023. JSW MG Motor India is committed to introducing world-class technology, strengthening the manufacturing landscape, bringing the best innovation across its business operations, and generating significant employment opportunities through extensive localization.
