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Application of E-commerce and A.I. in the Growth and Development of Indian Industrial Economy

Author : Dr. S Srinivasa Padmakar and Dr. M Akilanayaki

Abstract :

Adoption of information technology, Computerization, Automation, Artificial intelligence and Machine learning is the present trend of industrial and financial sector for the survival and sustainability of growth and development in the manufacturing, quality control, administration and accounts & finance departments. Further, the ‘E-Commerce’ is the application of I.C.T Tools and techniques for the marketing of products and services to reach the consumers points for their ultimate consumption through the supply chain management system. Business organizations today adopting technology practices for achieving the uniform quality products and services for gaining the customer satisfaction and for achieving the sustainable growth and development in industrial and marketing fields. Traditional, conventional business and trade practices is now outdated. Manual manufacturing and industrial operations are not advisable and not possible today in changing competitive marketing environment. Changing business environment in the Volatile, Uncertain, Complex and Ambiguous (VUCA) creating more challenges, problems and put the industrial sector in the deep financial and market crisis. This paper mainly focuses on the adoption of Information technology, A.I., E-Commerce. L.P.G Policy, industrial sector and financial sector reforms, to overcome the financial crisis and market complexities to pave the way for the growth of country GDP and sustainable growth and development of Indian industrial economy.
Further, also studied in this paper the innovative fair-trade practices, establishment of customer care centres, maintenance of customer data and their profile, follow up the customer grievances, inconveniences of the products and services. Resolving their problems using with the support of technology.
The Industrial, banking, marketing and finance related organisation’s works were observed primarily through personal approach and on interview methods. Secondary data also been collected through various publications, websites, for the related data analysis while drafting this paper.

Keywords :

Customer care, customer redressal mechanism, adoption of technology, e-Commerce, Artificial intelligence, V.U.C.A.