Case Study
Recommendation Engine Automatically Connecting Learning Content & Product Data
A platform faced challenges delivering effective search and content integration due to a reliance on basic keyword functionality, which limited usability and actionability. Resources across the system were not well integrated, leading to underutilized content and a fragmented user experience. Internally, manual processes for organizing and managing content created inefficiencies, governance issues, and poor scalability. The lack of a unified content classification system further disconnected product information from related learning materials, reducing relevance. Inconsistencies in content lifecycle management and misalignment across platforms managed by different teams compounded these issues.
