To start AI efforts for improving case closure KPIs and product support planning, reviewing and addressing case data quality issues is essential before setting up Einstein Classification Apps. This approach ensures the AI models are trained on clean, reliable data, enhancing the accuracy of predictions for empty fields and overall effectiveness of the AI implementation in the Service organization.

Identifying and prioritizing the requirements for a minimum viable product (MVP) allows for a focused and phased approach to the Service Cloud implementation. This strategy ensures that the most critical functionalities are developed and deployed first, providing immediate value while allowing for iterative enhancements based on feedback and additional requirements.

Explanation
Path for Cases is a feature that can allow a tier 2 service representative to take over case processing from tier 1 and know how far tier 1 had progressed in troubleshooting. Path for Cases is a feature that allows administrators to define the key stages and steps for resolving cases in Salesforce. Path for Cases can help agents track the progress of each case and see the guidance and tips for each stage. Verified References: :
https://help.salesforce.com/s/articleView?id=sf.path_overview.htm&type=5 :
https://help.salesforce.com/s/articleView?id=sf.path_setup_cases.htm&type=5