• AI-Powered Sales Insights: MeetRecord CEO Reveals Future of Revenue Team Automation

  • 2024/10/15
  • 再生時間: 32 分
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AI-Powered Sales Insights: MeetRecord CEO Reveals Future of Revenue Team Automation

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  • https://www.gtmaiacademy.com/ https://www.aipoweredgtm.com/ https://www.meetrecord.com/ This podcast episode features a conversation between Coach K and Snehal, the CEO and co-founder of MeetRecord, a company that uses AI to help revenue teams capture insights from sales conversations. Snehal shares his entrepreneurial journey, starting from his college days when he created an internship portal. He then worked on various startups, including one that developed filters for Nokia and Samsung phones, similar to what Snapchat offers today. Snehal explains that MeetRecord, founded in 2022, addresses the challenges faced by distributed or remote sales teams. The company's AI-powered solution captures conversations from various channels (meetings, calls, emails) to automate coaching and identify patterns that lead to faster deal closures. The discussion delves into the technical aspects of MeetRecord's AI implementation. Snehal reveals that they use a combination of OpenAI and Claude models, along with prompt engineering and fine-tuning techniques. He emphasizes the importance of analyzing large datasets (over 3 million call data points) to improve their AI models' accuracy and reduce hallucinations. Snehal describes their process of fine-tuning AI models, which involves manually vetting 1,000 to 2,000 examples of questions and responses from sales calls. This data is then used to train the AI, resulting in more accurate and context-aware responses. The conversation also touches on the challenges of demonstrating ROI to potential customers, especially when traditional metrics might not capture the full value of AI-powered solutions. Snehal explains that they use both quantitative approaches (analyzing time savings and efficiency improvements) and qualitative feedback from users to showcase the benefits of their tool. Looking to the future, Snehal predicts that AI will automate many repetitive and mundane tasks in the sales process but emphasizes that it won't replace human salespeople. Instead, AI will free up time for sales representatives and managers to focus on more strategic and creative aspects of their roles. 2. Bullet point highlights of conversation: - Snehal's entrepreneurial background, including creating an internship portal and working on mobile phone filters - MeetRecord's founding in 2022 to address challenges faced by remote sales teams - Use of AI to capture insights from sales conversations and automate coaching - Implementation of OpenAI and Claude models with prompt engineering and fine-tuning - Process of analyzing over 3 million call data points to improve AI accuracy - Manual vetting of 1,000-2,000 examples for AI model training - Challenges in demonstrating ROI and methods used to showcase value to customers - Prediction that AI will automate mundane tasks but not replace human salespeople - Future direction of MeetRecord, including more automated actions based on conversation context - Importance of providing context to AI for accurate coaching and insights 3. Key quotes from Snehal: "What we do is basically we have got a lot of responses already... We analyze the call transcripts, we figured out what were the questions which were asked by the sales representative. And we also figured out the answers which were detected that actually forms data for our training for fine tuning, but we have a layer where we actually manually skim through at least 1000 to 2000 responses. So while fine tuning, we take a base model, it could be Lama 3.1, it could be HRGPT as well, it could be an open AI model as well. And then we give this set of 2000 responses, questions and responses and queries and responses, and then the model gets fine tuned." "There's a pretty interesting number floating around that sales representative currently spends like 10 percent of their time just pushing things into the CRM and that's a good number of time and more than the time, I think it makes them actually tired and be a little less ineffective when their next calls or next day. And we just want to save their energy, right? So no salesperson want to do a repetitive mundane task, which is very tiresome." "What I feel is any repetitive or let's say mundane tasks that did not involve any creativity, right? And to some extent will be automated with AI. That being said I strongly feel that AI will not replace jobs. So I feel the way we also work as a company is we want to help the salespeople, right? We don't want to replace them because there's substantial creativity involved in actually doing sales. And we understand that we just want to build tools for them, which can automate and take away those, boring mundane tasks." "For example, if sales representative at the end of the call says that, as a next step, let's schedule a call for next Wednesday at 8 p.m. Automatically, we will get that context and we will do it for you, right? We are slowly moving from setting up from actually deriving those actions to actually setting up...
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あらすじ・解説

https://www.gtmaiacademy.com/ https://www.aipoweredgtm.com/ https://www.meetrecord.com/ This podcast episode features a conversation between Coach K and Snehal, the CEO and co-founder of MeetRecord, a company that uses AI to help revenue teams capture insights from sales conversations. Snehal shares his entrepreneurial journey, starting from his college days when he created an internship portal. He then worked on various startups, including one that developed filters for Nokia and Samsung phones, similar to what Snapchat offers today. Snehal explains that MeetRecord, founded in 2022, addresses the challenges faced by distributed or remote sales teams. The company's AI-powered solution captures conversations from various channels (meetings, calls, emails) to automate coaching and identify patterns that lead to faster deal closures. The discussion delves into the technical aspects of MeetRecord's AI implementation. Snehal reveals that they use a combination of OpenAI and Claude models, along with prompt engineering and fine-tuning techniques. He emphasizes the importance of analyzing large datasets (over 3 million call data points) to improve their AI models' accuracy and reduce hallucinations. Snehal describes their process of fine-tuning AI models, which involves manually vetting 1,000 to 2,000 examples of questions and responses from sales calls. This data is then used to train the AI, resulting in more accurate and context-aware responses. The conversation also touches on the challenges of demonstrating ROI to potential customers, especially when traditional metrics might not capture the full value of AI-powered solutions. Snehal explains that they use both quantitative approaches (analyzing time savings and efficiency improvements) and qualitative feedback from users to showcase the benefits of their tool. Looking to the future, Snehal predicts that AI will automate many repetitive and mundane tasks in the sales process but emphasizes that it won't replace human salespeople. Instead, AI will free up time for sales representatives and managers to focus on more strategic and creative aspects of their roles. 2. Bullet point highlights of conversation: - Snehal's entrepreneurial background, including creating an internship portal and working on mobile phone filters - MeetRecord's founding in 2022 to address challenges faced by remote sales teams - Use of AI to capture insights from sales conversations and automate coaching - Implementation of OpenAI and Claude models with prompt engineering and fine-tuning - Process of analyzing over 3 million call data points to improve AI accuracy - Manual vetting of 1,000-2,000 examples for AI model training - Challenges in demonstrating ROI and methods used to showcase value to customers - Prediction that AI will automate mundane tasks but not replace human salespeople - Future direction of MeetRecord, including more automated actions based on conversation context - Importance of providing context to AI for accurate coaching and insights 3. Key quotes from Snehal: "What we do is basically we have got a lot of responses already... We analyze the call transcripts, we figured out what were the questions which were asked by the sales representative. And we also figured out the answers which were detected that actually forms data for our training for fine tuning, but we have a layer where we actually manually skim through at least 1000 to 2000 responses. So while fine tuning, we take a base model, it could be Lama 3.1, it could be HRGPT as well, it could be an open AI model as well. And then we give this set of 2000 responses, questions and responses and queries and responses, and then the model gets fine tuned." "There's a pretty interesting number floating around that sales representative currently spends like 10 percent of their time just pushing things into the CRM and that's a good number of time and more than the time, I think it makes them actually tired and be a little less ineffective when their next calls or next day. And we just want to save their energy, right? So no salesperson want to do a repetitive mundane task, which is very tiresome." "What I feel is any repetitive or let's say mundane tasks that did not involve any creativity, right? And to some extent will be automated with AI. That being said I strongly feel that AI will not replace jobs. So I feel the way we also work as a company is we want to help the salespeople, right? We don't want to replace them because there's substantial creativity involved in actually doing sales. And we understand that we just want to build tools for them, which can automate and take away those, boring mundane tasks." "For example, if sales representative at the end of the call says that, as a next step, let's schedule a call for next Wednesday at 8 p.m. Automatically, we will get that context and we will do it for you, right? We are slowly moving from setting up from actually deriving those actions to actually setting up...

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