Abstract

Abstract. Artificial Intelligence (AI) has been the biggest revolution of the 21st century impacting every aspect of the business, sales being no different. The paper experiments the effect of marketing on 4500 customers using AI and humans. The outcomes of the research reveal the effectiveness of AI is the same as experienced salesmen and 2.7 times better than inexperienced salesmen is closing the sales calls. The sales graph experienced a dip by over 86.23% when it was revealed to the customer that the interface is with the machine, not humans and reduced the duration of the call substantially. The paper shows that Indians do not believe Artificial Intelligence and still prefer human interface as they do not trust machines over human emotions. The effectiveness of AI drastically reduces despite its superiority over humans in various aspects. The paper identifies the strategies to overcome the trust deficit that exists among Indian customers. The outcomes show how AI can be used, and how marketing could be done using AI in conservative markets such as India.

Highlights

  • The paper aims to find out the scope for Artificial Intelligence (AI) in sales and marketing, to reveal what the benefits and costs are

  • Our results prove that replacing humans in sales and automation of the marketing process is a change which companies must accept as soon as possible

  • The study analyses the importance of AI, which is the future of business

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Summary

Introduction

The paper aims to find out the scope for Artificial Intelligence (AI) in sales and marketing, to reveal what the benefits and costs are It tries to find how efficient can AI be in comparison to humans who are experienced in selling. The growth of IT and BPOS services in India has made the use of machines even more critical to handle the bulk of communications These aspects show the benefits of the machines powered by Artificial intelligence from the demand aspects of customers (Froehlich et al 2018). Indian customers consider the online transactions with devices as riskier as Indians considered machines devoid of emotions and empathy towards the buyer (Desai 2019) This has forced the players in the Indian market to hide the use of Artificial intelligence-driven machines from prospects. The repositories could of discounts and price comparison, which attract Indian customer (Hawaldar et al 2019a)

Literature review
Selection of companies and methodology
Findings
Conclusion and further research
Full Text
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