Which of the following features does Einstein Agent utilize?

Einstein Agent utilizes case field prediction by leveraging artificial intelligence to analyze incoming case data and automatically suggest appropriate values for various case fields. This feature enhances efficiency and accuracy in case processing, allowing agents to focus on more complex tasks instead of manually entering repetitive information. By predicting fields based on historical case data and patterns, the system can streamline the support workflow, ultimately improving response times and customer satisfaction.

While other features listed, such as data mining, customer feedback collection, and inventory management, play important roles in broader Salesforce functionalities, they are not specific features utilized by the Einstein Agent for case management. Data mining refers to the process of discovering patterns in large data sets for various analytic purposes but does not directly relate to the operational aspects of the Einstein Agent. Customer feedback collection pertains to gathering insights from users about their experiences rather than field prediction. Lastly, inventory management is focused on tracking stock levels, orders, and deliveries, which is outside the scope of the Einstein Agent's core functions.