IDeaS G3 RMS

IDeaS G3 RMS is a hotel revenue management system that uses advanced SAS analytics and machine learning to forecast unconstrained demand and automate pricing, rate availability, restrictions, and overbooking decisions.

1. Granular revenue optimization: G3 RMS produces pricing and inventory-control decisions at room-type and rate-code level rather than relying only on a single property-wide BAR. Independent Products can optimize multiple base products—such as daily, weekly, or monthly rates—according to their individual demand patterns, while linked products can retain relationships with those optimized rates.
2. Forecasting and exception management: the system forecasts unconstrained demand, then determines the business mix, pricing, availability, and controls appropriate to expected demand. Automation handles routine tactical decisions while Information Manager, Investigator, and exception-based workflows direct revenue managers toward unusual conditions, important dates, or decisions requiring intervention.
3. Groups and profitability: G3 RMS includes Group Pricing for evaluating group opportunities using factors such as displacement, forecast occupancy, capacity, and expected conversion. Its redesigned 2026 workflow adds expanded evaluation results and approval workflows. Channel Forecasting can analyze future channel demand and acquisition costs, while Profit Optimization can incorporate ancillary revenue, margins, and acquisition or servicing costs into revenue decisions.
4. Integration and portfolio operations: G3 RMS is a cloud-based system with two-way integrations that exchange reservation data and distribute optimized pricing and inventory controls to hotel systems. Current examples include Oracle OPERA Cloud through OHIP and DerbySoft connectivity. Multi-property organizations can also add Portfolio Navigator to identify revenue opportunities, prioritize actions, and deploy strategy or configuration changes across multiple hotels from one dashboard.

IDeaS G3 RMS is most relevant to hotels, resorts, and multi-property revenue teams that need highly granular automated pricing and inventory decisions while allowing revenue managers to concentrate on exceptions, group opportunities, profitability, and portfolio-level strategy.