What increases case deflection according to the features of Einstein?

The option that increases case deflection according to the features of Einstein is automation of common issue resolutions. By automating responses to frequently encountered issues, organizations can effectively reduce the number of cases that need to be manually managed by support agents. This feature utilizes machine learning to identify common inquiries and to provide solutions preemptively.

Through automation, customers receive immediate responses to their queries, which enhances their experience and often resolves their issues without the need to escalate to an agent. This not only lowers the overall case volume but also frees up customer service representatives to concentrate on more complex concerns that require human intervention.

In contrast, integration with social media, real-time customer data sharing, and manual case tracking, while valuable in other contexts, do not directly contribute to case deflection in the same effective manner as automating responses to common issues. These other options may enhance communication and provide additional data, but they don't inherently reduce the number of cases that need resolution.