Product Infor RMS
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Infor RMS

By Infor Hospitality
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Infor ezRMS
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Delfo MELLISenior Director - Major Accounts
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Angie Lacia

Hotel distribution optimization expert

About Angie Lacia

Overview

Launch year

1999

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Compatible integrations

24

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Description

Infor RMS is a comprehensive, automated forecasting and optimization system designed to adapt to any user persona, offering all-in-one pricing solutions.

Infors goal is to transform the role of a revenue manager from a tactical role to a strategic one. By automating tasks such as reporting and tactical pricing decisions, we free up the revenue manager to focus on strategy.

 

Details

Infrastructure detailsCloud
Support languagesENAR
CategoryCommercial and distribution
SubcategoryRevenue Management System (RMS)
Integrations

Infor RMS is integrated with many PMS, CRS, Channel Manager and Market data solutions. Please contact Infor if you have any questions.

IndustryHospitality

Screenshots, videos and other resources

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Product features

Hospitality Reporting And Data Analytics

Alerts and Notifications
Ancillary Revenue Tracking
Booking Pattern Analysis
Channel Performance
Custom Dashboards
Custom Dashboards for Hotel Groups
Custom Reports
Customizable Notifications And Alerts
Daily Reporting
Dashboarding And Data Visualization
Distribution Cost Analytics
Flexible Role Based Reporting
Food And Beverage Reporting, Analysis And Forecasting
Market Insights Reporting
Multi-Property Dashboard
Other Income Forecasting, Reporting & Analysis
Pickup Analysis
Report Exporting
Reporting And Analytics
Revenue Analysis
Revenue Forecasting and Budgeting
Revenue Pacing
Scheduled Reports

Forecasting RMS

Financial Forecast Builder
Five-Year Forecasting
Occupancy Forecast
Unconstrained Demand Forecast
Overbooking forecast
ADR Forecast
Revpar Forecast
Cancellation forecast
Day of week forecasting
Segmentation Forecasting
Total Revenue Forecast (all segments)
Unconstrained Demand Forecast by segment and room type
Demand Pace Analysis
Food And Beverage Forecasting
Future Market Demand Data
Other Revenue Streams Forecasting
Room class forecasting
Channel forecasting
Arrivals and departures forecasting

Market Intelligence Data

Competitor Benchmarking
Demand 360 data
E-Reputation Monitoring
Future Market Demand Data
Market Trends
Integrated Rate Shopping Module
STR data
OTA Insight data
Special events data

Optimization Cycles

Multiple Times A Day
Real Time

RMS Optimization Levels

AI Optimization
Channel Mix
Client Mix
Displacement Analysis
Enterprise Business Guidelines
Event Data
Lost Business Data
Market Segment
Market Segment By Room Type
Open API
Price Change Logs
Smart Spreading Technology
Opportunity cost / Rate hurdle by roomtype
Price value recommendations
Discount optimization
Customizable Data Hierarchies
Profit Based Optimization

RMS Pricing

18-Month Forward Pricing
365 Days Rate Management
Contracted Client Pricing
Daily Pricing / BAR pricing
Define Seasonality and Day of the Week Cycles
Dynamic Price Room Type Hierarchy Control
Dynamic Pricing
Dynamically and Independently Price Different Room Types
Function Space
Group Pricing And Evaluation
Manage Exceptions / Manual Overrides
Open Pricing
Price Explanation
Set Minimum And Maximum Price Limit
24-Month Forward Pricing

Productivity Tools

Alerts And Notifications
Alexa, Google, Siri interface
Automated Room-Type Pricing
Bulk Updating
Controlled Automation/Algorithm Customization
Guided workflows
Mobile Optimized/Responsive
Multi-Property Management
Real Time Price Optimization (auto-pilot)
Single Sign-On (SSO) Feature Available
What-If Scenario Analysis
Centralized User And Role Management
Communication and Collaboration Tools
Optimized And Automated Data Entry
Tour Operator FIT Contract Tool with Stop Sales Recommendation
Automated distribution to selling systems
System benefit measurement
Voice control
Customizable user interface
Workflow alerts
Special event detection

System Generated Decisions

Alternate Property Recommendations For Groups
Alternate Stay Date Recommendations For Groups
Data Explanation Summaries
Hotel Overbooking
Market Segment Pricing
Price Recommendation Per Room Type
Price Sensitivity Modeling
Rates, Conditions & Advanced Restrictions
Real Time Price Optimization
Room Type Overbooking
Stop Sales Recommendations
Minimum Length of Stay Recommendation by Room Type and Rate Code
Competitor impacted pricing
Dynamic discounting
Component room pricing
Group pricing
Room upgrade management
Business mix optimization

Business Intelligence

Availability Calendar (With Prices Per Day)
Business and Marketing Plans
Calendar View
Collaboration & Commenting
Corporate and Travel Agency Account Tracking
Create Custom Reports On The Fly
Customizable Data Hierarchies
Dynamic Pricing
Flexible Role Based Reporting
KPI Dashboard
Lost Business Data
Macro and Micro Booking Trends As They Happen
Marketing Dashboard
Net Revenue KPIs
Performance Data
Pricing Decision Impact Tracking
Revenue Pacing
View Key Performance Indicators Across Portfolio Of Properties
Occupancy On-The-Books (OTB) Data (if supported)
Market Segments Analysis (Discount, Leisure, Groups, Corporate, Retail, Government, Wholesale)
Pickup Analysis
Early Warning Trends
Average Guest Spend
Rate plan analysis
Distribution channel analysis
Budget comparison
Data feed to business intelligence tool or data warehouse
Net revenue reporting

Meeting And Events Intelligence

Align Meetings And Events and Revenue Management Strategies
Booking Trends and Patterns For Meetings And Events Business
Group Pricing And Evaluation

Sales Management

Corporate And Travel Agency Account Tracking
Monthly Top Producers

Support Level

Local / Regional Support in Middle East and Africa
Office Hours Online Support
24/7 Online Support
Chat
E-Training / Online Training
Dedicated Account manager and Implementation Manager
Dedicated customer success manager
Dedicated onboarding specialist
Webinars and courses
Self service onboarding tool

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Technical specifications

Specifications

Delivered as a SaaS solution on the Infor Cloud in AWS. Just a web browser is needed at the hotel or user Level.

Configurations

Infor RMS has a short implementation timeline of around 26 days. AI and Deel Learning allows the modelisation to automatically detect demand and price changes and react accordingly. The implementation phase is therefore largely automated supported by on-line Learning modules delivering by our own Infor U learning platform

Scalability

Infor RMS is highly modular and full multi-propoerty, meaning it can scale for any hotel type and any sized group of hotels. It uses the latest AWS database scaling techniques.

Fee structure

Annual Flat Fee
Starting from:
Pricing:

Annual SaaS Fees are charged based on the chosen modules and interfaces. Please contact Infor for more detail.

Buyers

FAQs