This white paper has explored the role of NLP in the automation of OTC RFQ answers, and has examined the various ways in which NLP can be used to improve customer experience and streamline OTC trading activities. As AI capabilities continue to advance, it is likely that NLP–enabled technology will become an increasingly important tool for financial institutions looking to automate customer RFQs.
Today, the use of Natural Language Processing (NLP) technology is transforming the Over–the–Counter (OTC) market. NLP–enabled technology is revolutionizing the way traders respond to customer requests for quotations (RFQs), providing more efficient, accurate and personalized responses. In this white paper, we will explore the role of NLP in the automation of OTC RFQ answers, and examine the various ways in which NLP can be used to improve customer experience and streamline OTC trading activities. We will also discuss the Terranoha AI engine, and how it can be used to automate OTC RFQ answers.
Download this white paper to find out more about the role of NLP in the automation of OTC RFQ answers and how it can help you improve customer experience and performance!