In our last newsletter, we spoke about CRM trends in 2024. One of them is using LLM technology in a CRM to enhance customer conversations. Today, AI technologies such as Large Language Models (LLMs) and Generative Pre-trained Transformer (GPT) are integral to many CRM systems.
AI tools can process vast amounts of CRM data from various channels, such as emails, feedback, reviews, social media, and chats. They can also analyze this information to offer valuable insights that can help you understand your customers. Insights about your teams also aid you in tracking and enhancing team performances. Consider the following.
Customer data analysis provides you with insights into customer sentiment, preferences, and pain points. This will enable you to read trends, provide customized products or services, enhance conversations, and generally help you connect with them better.
Employee data analysis, for example, your sales or support teams, can give insights into team performances, quality of conversations, gaps in your process, etc. You can use these insights to train your employees to converse better with customers, perhaps resolve more issues, or close more deals.
The above scenarios are just two examples of LLM and GPT usage in CRMs. As AI continues to evolve, its presence in CRM systems will become increasingly valued by users.
Vtiger CRM has its own AI feature, Calculus AI. It analyzes conversations and provides you with the best advice to guide customer-facing teams to have effective conversations with customers.
NLQ integration with Vtiger CRM also helps you give commands in natural language or spoken language, making it easy for non-technical users to interact with the CRM.
Why don’t you try out Calculus AI today?