Salesforce Welcomes Two New AI Models: Here’s Everything You Need To Know

Ahead of the much-awaited Dreamforce event, the recent announcement by Salesforce highlights the launch of AgentForce AI models. While this news has gotten all the executives churn buzz about it, the announcement has also unveiled two exciting technologies for enterprise-level users i.e. xGen Sales and xLAM Sales which are set to revolutionize the overall Salesforce ecosystem.

Let’s dive into understanding what these innovations are, and how they can benefit businesses.

Understanding XGen Sales At A Glance 

xGen Sales represents the next generation of sales technology, powered by AI and machine learning. This new paradigm is designed to help sales teams sell more effectively, efficiently, and personally. xGen Sales is built on the idea that sales should be more human-centric, leveraging AI to augment the skills of sales professionals rather than replacing them.

Key Features of xGen Sales:

• AI-driven Sales Insights: xGen Sales provides sales teams with actionable insights and recommendations, helping them to better understand customer needs and preferences.
• Personalized Engagement: The technology enables sales teams to deliver personalized experiences to customers, building stronger relationships and driving loyalty.

• Predictive Analytics: xGen Sales uses predictive analytics to forecast sales outcomes, allowing teams to adjust their strategies and optimize results.

What Will It Bring?

1. Increased Sales Productivity: xGen Sales automates routine tasks, freeing up sales teams to focus on high-value activities.

2. Improved Sales Accuracy: AI-driven insights and recommendations help sales teams make more informed decisions, reducing errors and miscommunication.

3. Enhanced Customer Experience: Personalized engagement and tailored experiences drive customer satisfaction and loyalty.

What’s stored in with xLAM (Large Language Models)?

Technically speaking xLAM Sales is a large language model (LLM) specifically designed for sales teams. Where the LLM is more or less dependent on human interaction and involvement, xLAM is specially designed to be able to perform actions independently.  This technology is trained to improve the way how AI operates across various business functions. Further, it is specifically tailored for customer service use cases, allowing businesses to automate and enhance their customer support operations.

Key Features of xLAM:

The xLAM family has multiple language models such as Tiny (xLAM-1B), Small (xLAM-7B), Medium (xLAM-8x7B), and Large (xLAM-8x22B), all of which are designed to serve specific purposes. Along with that, there are a few notable features of  xLAM such as:

• Conversational Understanding: xLAM can comprehend the complexities of human language, including context, intent, and sentiment.

• Personalized Responses: The model generates human-like responses that are tailored to the individual customer’s needs and preferences.

• Integration with Salesforce: The model is seamlessly integrated with Salesforce’s customer relationship management (CRM) platform, enabling businesses to leverage customer data and context to inform their support interactions.

How Does xLAM Make A Difference?

• Improved Customer Experience: xLAM enables personalized, efficient, and effective customer support interactions, leading to increased customer satisfaction and loyalty.

• Increased Efficiency: Automation of routine customer support tasks frees up human agents to focus on more complex and high-value tasks.

• Enhanced Agent Productivity: xLAM provides agents with relevant customer context and suggested responses, enabling them to resolve issues more quickly and accurately.

Final Verdict: 

The two exciting technologies are set to create waves all along the way and act as a catalyst for Salesforce to move ahead with its mission to leave a mark in the AI space. Many people might presume Salesforce’s venture of exploring AI and its aspects for sales may be a practice to eliminate and replace the human workforce. However,  in the bigger picture, the company aims to augment sales staff at best. Plus, leveraging AI and these innovations can help sales teams to sell more effectively, efficiently, and personally, driving improved sales outcomes and revenue growth.