Current legacy revenue reconciliation technologies are struggling to keep up with the transition in the media and entertainment industry where revenue is being generated in more complex ways because of the proliferation of partnerships and diversifying of revenue sources as a result of more personalized pricing schemes and models.
Goals and Objectives
Enables the accurate, efficient, and automated flow and attribution of revenue generated across multiple internal and external platforms to streamline and account for diversifying revenue sources
AI, robotic process automation, blockchain, micropayment management, dynamic and fluid pricing, and cloud
Use Case Summary
Revenue reconciliation management enables reliable revenue recognition in an industry built on transactions that is shifting from high value,
low-volume transactions to low value, high-volume digital transactions and the variety and complexity of those transactions are exponentially rising.