Running a hotel means wearing multiple hats. Between managing guests, staff, operations and distribution, most hoteliers have little time left to do what revenue management actually demands: monitoring competitor rates, tracking local events, interpreting market trends, and translating all of it into timely pricing or distribution decisions. Dynamic Revenue Plus was built for that reality. It combines IDeaS-powered pricing recommendations with SiteMinder iQ, SiteMinder's proprietary AI engine trained on data from over 300 million annual room night reservations processed across the platform. Together, they give independent properties something previously reserved for large hotel chains: a continuously updated, AI-driven view of their market, paired with the ability to act on it immediately. In practice, that means daily pricing recommendations generated from actual booking data and real-time market demand, an AI-summarised view of every Insights report so hoteliers always know where to focus, a 90-day demand forecast with market pace indicators (Ahead, Behind, or On Pace against the destination market), destination market intelligence that benchmarks property performance against an anonymised aggregate of all hotels in the local market, and automated competitor set management that uses machine learning to keep competitor sets current as the market evolves.