Sales Call Analytics Using Large Language Models скачать в хорошем качестве

Sales Call Analytics Using Large Language Models

A sales team, for example, working in a call centre will make contact with thousand of potential consumers every single day. Because resources are limited, calls are being examined in an effort to identify better prospects who have an interest in products. In addition, calls of this nature might serve as a resource for sales representative coaching. In this video, we will see how to use Whisper for Automatic Speech Recognition and Diarization. Also using OpenAI ChatGPT 3.5 Turbo, how to do Sentiment Analysis and summarising In addition to that, I will be utilising a sales qualification framework like BANT, which is quite fundamental. Using Large Language Models for sales technology is very interesting. BANT assists sales teams in qualifying leads and determining whether or not leads have a high probability of becoming customers. The letters BANT stand for the following: Budget: What is the budget for this opportunity? Authority: The question is whether or not they have the authority to make decisions. Needs: What are the requirements for their company? Timeline: Regarding the timeline, at what point do they plan to make a purchase? If a prospect meets at least three of the four requirements, then it is regarded as having viable potential. However, the sales representative may follow up at a later time if the prospect does not satisfy the criteria. Colab: https://colab.research.google.com/dri...