In this unit, you learned:
- About a practical workflow outline that demonstrates how business and technical consultants can use intelligent selling services to show customers relevant products based on real-time data. Then, they can optimize product recommendations through monitoring and reporting for the best business outcomes.
- How to use monitoring and reporting tools in intelligent selling services through a demonstration. The demonstration included inspecting the overview workspace and important metrics such as product views, carousel views, and clicks. You also checked the data-synchronization status and AI-powered data training status.
- About the reporting workspace and performance metrics based on selected business-related data groups, merchandising efforts, and specified time periods. You also explored the implications and significance of the key performance indicators that support these metrics.
- How to use A/B testing in intelligent selling services to assess two different product mixes tied to the same merchandising strategy. This methodology helps identify the better performer.
- How to create an A/B test and examine the reporting workspace, effectively tracking and monitoring the test.