{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/63160aa54c543c0013216052/6731a9c66bd9c43f66c70b7a?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"AI-Powered Usage Data Management","description":"<p>In this episode of the Data for Subscriptions podcast, we discuss how AI-powered usage data management leverages predictive and generative AI capabilities to eliminate inefficiencies in reactive and manual quote-to-cash processes. More specifically, we deep dive into two use cases of AI: Anomaly Detection, which continuously monitors usage data for unusual patterns that could indicate potential issues such as revenue leakage, overcharging, system faults, frauds etc; and Usage Forecasting, which is crucial for predicting future demand with precision, enabling businesses to optimize resources, adjust pricing strategies, and forecast revenues accurately.&nbsp;</p><p><br></p><p>Find us on your favorite podcast app to unlock the secrets for successful subscription and usage-based business models.&nbsp;&nbsp;&nbsp;</p><p>&nbsp;</p><p>Hosted by DigitalRoute.&nbsp;</p>","author_name":"DigitalRoute"}