Netra Pal Singh1 JEL: M15 Eesha Singh2 DOI:10.5937/industrija%v-24610 UDC: 629.326:658.5(540) 658.115:001.895 330.322.2 Case Research IIoT and Machine Learning Technology - A case of Investment of TVS Motors Limited (India) Article history: Received: 17 January 2020 Sent for revision: 18 January 2020 Received in revised form: 28 February 2020 Accepted: 1 March 2020 Available online: 31 March 2020 Abstract: Automobile sector in India is gearing for sharing mobility, electric, smart and connected vehicles. Indian two-wheeler makers are either acquiring or investing in electric, IIoT and AI startups to compete in new scenario. This paper presents a brief overview of Indian two-wheeler industry and investment strategies of two-wheeler producer TVS Motors Private Limited in the context of emerging scenario and recent investments in startups. The paper analyses TVS’s recent investments in electric vehicle, shared mobility (renting), IIOT and AI startups. It is concluded that TVS Motors is, in the first place, investing to be at the forefront of electric, smart, shared and connected vehicles market. The second reason is to overcome the limitation of internal innovation in new segments in terms of required time, needed knowledge and possibility of being the first mover in the new markets. Keywords: Industrial Internet of Things (IIoT), Machine Learning, TagBox, TVS Motors, Scooters, Motor Cycles IIoT i tehnologija mašinskog učenja – studija slučaja ulaganja TVS Motors Limited (Indija) 1 Professor, Management Development Institute, Gurgaon, Mehrauli Road, Sukhrali, Gurugram-122007, India. Email:
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[email protected] 2 Masters Student (Exe- MBA), Indian Institute of Technology (ISM), Dhnabad, Sardar Patel Nagar, Hirapur, Dhanbad-826004, India.