{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/05390c6215e24422815e2147639bf9eb\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/05390c6215e24422815e2147639bf9eb-00001.gif","duration":173.339833,"title":"Refining Forecast Accuracy with APE","description":"In FLYR for Hospitality's video, the concept of Absolute Percentage Error (APE) is introduced as a key metric for improving forecasting accuracy in hospitality management. APE helps users assess the precision of their forecasts by providing a clear, percentage-based comparison between actual outcomes and predictions. The video showcases how APE is integrated into two dashboard templates—System vs. User Forecast Accuracy and Property-Level User Forecasting Assessment—highlighting their use for detailed forecast analysis across various KPIs like occupancy, ADR, and revenue. It emphasizes customization options that allow users to tailor insights to meet specific strategic goals and introduces the blending of quantitative and qualitative data for a fuller understanding of forecasting performance."}