Deploying a new case routing algorithm based on AI is best approached using a pilot deployment. This method involves testing the new algorithm with a small group of users to collect feedback and assess performance in a controlled environment. This approach allows for identifying potential issues and making necessary adjustments before a full-scale rollout, thus reducing risk and ensuring the algorithm performs as intended when implemented broadly.

Identifying trends and patterns within Contact Center metrics requires tools capable of varying levels of analysis. Salesforce Reporting offers basic filtering and grouping, Omni-Channel dashboards provide real-time operational insights, and Einstein Analytics delivers sophisticated capabilities like data blending, predictive modeling, and visual storytelling. "D. All of the above, depending on the desired level of data exploration, predictive insights, and visual representations" captures the broad range of tools available for different analytical needs, making it the optimal choice.
Reference: Einstein Analytics

To effectively track case resolution times by product category, developing custom fields and reports specific to case categorization is most relevant. By adding custom fields to categorize cases based on the product and configuring reports to analyze resolution times for each category, organizations can gain insights into performance metrics segmented by product. This approach allows for more targeted analysis and improvement of service processes related to specific product lines.

The Customer Satisfaction (CSAT) Score is the key performance indicator (KPI) that best aligns with the objective of improving customer satisfaction. CSAT directly measures the degree of satisfaction customers feel with a service or product, usually gathered through post-interaction surveys asking customers to rate their experience. It provides clear insights into how satisfied customers are, which is directly linked to the company's goal of improving customer satisfaction.

For notifying customers with automated outbound SMS messages, provisioning a phone number well in advance is essential. A long code phone number, which is typically a regular 10-digit phone number, is suitable for such notifications and generally requires at least 2 weeks to provision. This allows sufficient time for setup and testing before going live. Therefore, "C. Provision a long code phone number at least 2 weeks before golive" is the correct step for supporting this functionality effectively.
Reference: Salesforce SMS Implementation Guide