With more programming being produced, curated, repeated televising, and repackaged, media and entertainment companies require adroit tools to manage their content libraries or they risk missing out on monetization opportunities (e.g., seasonal demand for certain content).
Goals and Objectives
Enables data driven, efficient, and return on investment–based inventory management of content libraries, which anticipates what content will be in demand and when it will be in demand to increase subscriber base, level of engagement, and monetization opportunities
Tagging or automatic analysis of meta data, content life-cycle management tools, and AI and machine learning (ML) tools
Use Case Summary
Inventory information management enables companies to manage their content libraries based on past and predictive insights about what programming is in demand and/or when it’s likely to be in demand so as to maximize returns on content libraries.