Which AI-driven feature in Agentforce assists sales reps in prioritizing leads?

Einstein Lead Scoring is an AI-driven feature that leverages machine learning algorithms to analyze data and determine the likelihood of a lead converting into a customer. By evaluating various factors such as lead attributes, past interactions, and behaviors, it assigns a score to each lead. This scoring system is invaluable for sales representatives, as it empowers them to prioritize leads based on their potential value, ultimately enhancing efficiency and focusing efforts on the most promising opportunities.

In contrast, standard pipeline tracking provides a visual representation of the sales process but does not utilize AI to prioritize leads. Manual call lists rely solely on human input and do not leverage data-driven insights to identify high-priority leads. Salesforce Reports can offer valuable analytics but are not specifically geared towards AI-assisted lead scoring. Thus, Einstein Lead Scoring stands out as the most suitable feature for assisting sales reps in lead prioritization.