Seetharamareddy Mohanareddy Gowda, 2024. "From Data to Revenue: How AI Is Revolutionizing Sales Operations through Advanced Customer Analytics" ESP International Journal of Advancements in Computational Technology (ESP-IJACT) Volume 2, Issue 4: 12-25.
Artificial intelligence, or AI, has impacted almost every area of business operations with a focus on sales. Modern customer insights provided by AI have impacted the methods of selling, which over the course of years were known as traditional, resulting in customer-oriented decisions, improved communication with the customer, and subsequently an increase in revenue. Concentrating on customer analytics as the primary means of enhancing sales strategies, this paper investigates the application of AI in sales operations. By handling extensive data from customers’ information, AI can forecast purchasing patterns, categorize the markets neatly, increase and augment the interaction with clients, and decrease the utilization of time and resources through the automation of many related choices. This paper discusses the existing bodies of knowledge on AI in sales, the methods of advancing AI-driven customer analytics and a case of the impressive improvement in sales outcomes. Looking at the results, one can clearly see that the application of AI not only improves the productivity of a company but also leads to a great increase in overall revenues. Finally, the authors briefly describe the implications of the findings to the existing commerce and outline future research possibilities in this fast-growing domain.
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AI in Sales, Advanced Customer Analytics, Personalization, Customer Segmentation, Sales Automation.