Newhotel Revenue Management is a comprehensive and intuitive rate optimization tool developed exclusively for the hotel industry. Trusted by over 6,000 customers worldwide, it enables hotels, resorts, inns, and hotel groups to manage floating rates, forecast demand, and implement competitive pricing strategies. Fully integrated with Newhotel Cloud PMS, Booking Engine, and Channel Manager, it automates rate adjustments and supports strategic decision-making through real-time data and simulations.

Features

• Dynamic Rate Management: Automatically optimize variable rates (BAR) based on demand.
• Forecast Calendars: Classify days by occupancy levels and seasonality.
• Rate Sensitivity Parameters: Define pricing rules by segment and origin.
• Rate Restrictions: Easily apply Stop Sales, LOS, MinStay, MaxStay, CTA, CTD.
• Incremental Pricing: Set predefined rate levels with proportional deltas.
• Real-Time Alerts: Receive notifications of rate changes and competitor movements.
• Integrated Simulator: Test future scenarios and evaluate expected outcomes.
• Historical Data Comparison: Identify trends and adjust strategies accordingly.
• Performance Dashboards: Access KPIs like RevPAR, ADR, and occupancy metrics.
• Rate Shopper Integration: Monitor competitor pricing and market trends.
• PMS & Channel Manager Integration: Send rates directly from PMS to distribution channels.

Benefits

• Revenue Optimization: Present the most profitable rate based on real-time demand and market conditions.
• Automation: Reduce operational errors and save time with automated rate adjustments.
• Strategic Planning: Make informed decisions using simulations and historical comparisons.
• Market Responsiveness: Quickly adapt to high-demand days and special events.
• Operational Control: Maintain total control over pricing strategies and restrictions.
• Scalability: Suitable for independent hotels and large hotel groups.
• Data-Driven Decisions: Use KPIs and forecasts to build profitable product mixes.
• 24/7 Support: Backed by a highly specialized helpdesk team.