• Tulasi Krishna Donthireddy

This study aims to discover specific approaches for the optimisation of traditional go-to-market (GTM) systems with the application of predictive analytics and artificial intelligence (AI). In achieving these objectives, the study seeks to discover the major new ideas and observations in the use of these technologies to GTM strategies most notably covering decision-making, resource utilisation and enhanced customer relations. This study was carried out with the aim of achieving the above objective, and in order to achieve this, the following research methodology was used; The study employed case analysis, interviews with professionals, and self-structured questionnaires to the professionals in the industry. The collected data was analyzed used machine learning model and statistical model to explore the patterns and trends of the data. Moreover, to forecast some outcomes of the employment of single or combined GTM strategies, alternative AI algorithms were employed. Analyzing the results of this research, one can state that predictive analytics and the application of AI Lead to numerous advances in GTM systems in several aspects. This is particularly in the aspects of improving the precision of the sales forecasts, marketing, and the handling of sales channels. The findings also do indicate that the organisations using these technologies can gain better customer satisfaction and loyalty and the company’s revenue growth. In conclusion, this research reveals the implication of PA&AIC in the improvement of GTM systems in organizations. The main managerial implications of the insight from the study indicate that businesses adopting those technologies will benefit from improved decision-making, efficient marketing-sales tactics, and improved business results. The observations and recommendations given in the study are the gold served to organizations embracing the process of GTM transformation and leveraging predictive analytics and AI to the full extent.

Predictive Analytics, Artificial Intelligence, Go-to-Market Systems, Sales Strategy, Marketing Innovation

"TRANSFORMING GO-TO-MARKET SYSTEMS THROUGH PREDICTIVE ANALYTICS AND ARTIFICIAL INTELLIGENCE: INSIGHTS AND INNOVATIONS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 5, page no.q314-q326, May-2024, Available :http://www.jetir.org/papers/JETIR2405H41.pdf

"TRANSFORMING GO-TO-MARKET SYSTEMS THROUGH PREDICTIVE ANALYTICS AND ARTIFICIAL INTELLIGENCE: INSIGHTS AND INNOVATIONS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 5, page no. ppq314-q326, May-2024, Available at : http://www.jetir.org/papers/JETIR2405H41.pdf