Next-gen RMS delivers automation, real-time insights, and dynamic pricing strategies
Infor has introduced a next-generation Revenue Management Solution (RMS) designed to help hotels and resorts optimise pricing strategies, enhance decision-making, and maximise revenue.
Leveraging artificial intelligence and machine learning, the new RMS offers real-time insights and automation to streamline revenue management.
“AI-driven insights are crucial in today’s fast-changing hospitality landscape,” said Alan Young, VP of Hospitality Strategy at Infor. “Infor RMS empowers revenue managers to make smarter decisions, transforming data into tangible financial results.”
“AI-Driven Revenue Strategies Are Transforming Hospitality” – Alan Young, VP of Hospitality Strategy, Information
Advanced AI Capabilities for Maximum Profitability
Infor RMS delivers:
- Customisable Dashboards – Personalised KPI tracking with an intuitive widget-based interface.
- Multi-Dimensional Pricing – Granular rate optimisation, flexible discounts, and length-of-stay restrictions.
- AI-Powered Automation – Generative AI for strategic forecasting, market analysis, and proactive decision-making.
- Dynamic Configurability – A single, integrated system adaptable to hotels, resorts, casinos, and extended-stay properties.
- Data-to-Revenue Conversion – AI-driven analytics leveraging Infor’s proprietary data lake technology.
Flexible Automation for Tailored Operations
Infor RMS allows hotels to choose between manual, fully automated, or semi-automated operations, ensuring flexibility for different business models. The system continuously reforecasts and optimises pricing strategies in real time.
“Whether a boutique hotel or a global chain, Infor RMS adapts to drive targeted success,” Young added.
Now Available for Immediate Implementation
Infor RMS is designed to keep hospitality businesses ahead of evolving market trends and regulatory changes. The AI-assisted setup process ensures quick deployment, allowing hotels to benefit from its capabilities immediately.