Reviewing Enablers and Drivers While Implementing Artificial Intelligence (AI) Among Indian Automobile Supply Chains

Since the economic liberalization of the Indian market in the early 1990s, the Indian automobile industry has grown abruptly which consists of vehicle and component manufacturers. The global auto companies have urged the domestic sector to adopt supply chain practices. The advancement in technology has made it possible for the organization to expand its business globally without the addition of any surplus labor, space, area, etc. The decision support, automation, predictive and prescriptive outcomes are well transformed by Artificial Intelligence in supply chains. AI has been proven as a fortune in the world of automation for industrial setups. Without its help, tasks such as smart decision-making, research and data analysis, minimizing errors and business continuity would not have been trouble free. The Indian Automobile supply chains have been broadly classified into three categories namely; Passenger Vehicles, Commercial Vehicles and Two/Three Wheeler Vehicles respectively. This research paper aims to find the enablers and drivers that boost up the path of implementation of AI before the Raw material suppliers; component manufacturers-sub assembles, distribution channels (comprising of dealers, retailers, service providers and finally the end users (customers). The enablers and their effects are deeply analyzed for all the three above-stated segments of the Indian automobile supply chains.