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.

Google Cloud AI offers robust capabilities for sentiment analysis, which can be integrated with Salesforce to analyze customer sentiments in real-time during calls. This integration uses machine learning models to assess voice and text inputs to determine the customer's mood and tone, providing valuable insights to agents during live interactions.
Google Cloud AI specializes in machine learning and AI capabilities, including natural language processing necessary for sentiment analysis.
Zoom, Genesys Cloud CX, and Zendesk offer various communication and customer service solutions but do not inherently provide real-time sentiment analysis without additional AI capabilities like those offered by Google Cloud AI.
More information on integrating Google Cloud AI with Salesforce for sentiment analysis can be found at Salesforce and Google Cloud Integration.

Reference: Salesforce Knowledge Base Migration

Reference: Salesforce Documentation on Einstein Analytics

Considering the need for proactive communication with customers who have previously contacted the company, SMS is the most effective messaging channel. SMS allows Ursa Major Solar to reach out directly to customers ' mobile phones, ensuring high readability and immediate delivery of important messages. SMS is widely accessible and does not require internet connectivity, making it a reliable channel for mass communication, especially in urgent scenarios.
Reference: Messaging for Salesforce