Abstract
This research examines how AI technologies for analyzing customer opinions help tech startups design new products. It’s hoped that the research will prove how startups can gain insight into customer sentiment easily with AI and then use those insights to update and enhance their products. What makes it different is that the solutions it describes are easily scalable, using little time or money. The research we performed indicates that startups using AI sentiment analysis see more customer satisfaction, quicker development time and higher user engagement. Data from cases demonstrate that almost any group can make good use of Google Cloud AI and Brand24 to review extensive feedback. Through this work, the authors reveal how organizations can use customer data to fuel their innovations. I led the research and developed the way we would investigate, tested the effectiveness of the tools and developed frameworks for startups to embrace them. Thanks to this study, startups can turn immediate customer feelings into continuous success in the market.
Citations
IRE Journals:
Sonu Pradheen Kotapati , Gopi Chand Edara , Bhavana Kuchalapati , Venkata Revanth Kollipara , Brahmini Kotapati
"Driving Product Innovation through AI-Based Customer Sentiment Analysis in Tech Startups" Iconic Research And Engineering Journals Volume 7 Issue 1 2023 Page 733-739
IEEE:
Sonu Pradheen Kotapati , Gopi Chand Edara , Bhavana Kuchalapati , Venkata Revanth Kollipara , Brahmini Kotapati
"Driving Product Innovation through AI-Based Customer Sentiment Analysis in Tech Startups" Iconic Research And Engineering Journals, 7(1)
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