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Top-notch solutions for deeper insights & automation.

Data & IT

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Problem

I need to monitor the quality of invoice data across all hotels.

Example: Missing Chain Currency totals
Solution
Assess the data quality of all folio Invoices in the reservations database.
Data Quality Report – Folio Invoices
Problem

I am struggling with missing or incorrect information in reservations.

Example: Reservations from various channels vary in quality of completeness
Solution
Ensure reservation data is accurate. It finds and fixes problems like missing info and date errors.
Data Quality Report – Reservations
Problem

I have emails that can’t be delivered when I send out campaigns.

Example: Incorrect e-mails due to human error and integration issues
Solution
Leverage the Quality Report to manage email issues effectively.
Data Quality Report – Email Addresses
Problem

I face challenges in adapting my IT landscape to meet evolving data needs.

Example: Using a legacy PMS that won’t integrate with the IBE.
Solution
Future-proof your IT ecosystem with the full Ireckonu data suite, allowing you to innovate whilst keeping legacy systems.
API Portal
Problem

I want visibility of critical integration issues across my technology stack.

Example: Integration between PMS & CRS has failed resulting in missing bookings.
Solution
Monitor the operational performance and send warning messages automatically for all hotels in real-time from one place.
Real-time monitoring
Problem

I want to guide housekeeping with the guests’ preferences automatically.

Example: Room 239 needs extra hangers & chocolates
Solution
Connect your housekeeping system & CDP to automatically generate task lists, such as adding extra hangers.
Integration Hub
Problem

I struggle with inaccurate or missing guest data.

Example: OTA reservations contain limited information.
Solution
Benefit from precise guest data, enriched with information from connected systems and curated using machine learning.
Accurate guest information
Problem

I struggle to capture and use guest preferences effectively, resulting in a one-size-fits-all guest experience.

Example: Heating and pillow preference.
Solution
Consolidate guest preferences in a golden profile to create tailored and memorable stays.
Preferences
Problem

I want duplicate profiles to be eliminated across all systems.

Example: PMS, CRM and Spa systems
Solution
Automatically resolve duplicate profiles and ensure consistent guest data across all connected systems.
Guest Data Sync
Problem

I struggle with guest data changes across various platforms which leads to discrepancies.

Example: Data is living in different PMSs in different formats
Solution
Streamline real-time updates of guest profiles, reducing manual efforts and errors
Guest Data Sync
Problem

I struggle with guest data inconsistencies across various platforms, which leads to discrepancies.

Example: Data is living in different PMSs in different formats
Solution
Streamline real-time updates of guest profiles, reducing manual efforts and errors.
Guest Data Sync
Problem

I want to know in the early stage if integrations fail.

Example: 42,000 profiles were created in a single day, while the average is 114
Solution
A visual representation of profile creations based on multiple filters, ensuring quick detection of anomalies and adherence to business rules.
Profile Creation Report (CDP)
Problem

I struggle with inefficient address data collection practices across different hotels within a chain.

Example: Input quality varies amongst reservation staff or regions
Solution
Compare and improve data collection efforts across different hotels within a chain.
Data Quality Report – Addresses
Problem

I am dependent on external partners for data analysis.

Example: Data is too complex and fragmented for us to analyze
Solution
Empower your team to generate their own reports independently.
Power Cubes
Problem

I want to cater the guests’ heating & lighting preferences.

Example: Maintaining the guests’ preferred room temperature from previous stays
Solution
Seamlessly connect the hotel’s heating & lightning system to Ireckonu’s CDP and Middleware to act on preferences.
Preferences
Problem

I am not able to provide a mobile check-in due to a lack of connectivity between systems.

Example: PMS doesn’t provide an integration with the preferred mobile check-in solution.
Solution
Support guest self-check-in through a mobile app.
Pre-Check-in
Problem

I have difficulties identifying and resolving issues due to inefficient monitoring of API calls.

I have difficulties identifying and resolving issues due to inefficient monitoring of API calls.
Solution
Monitor, analyze, and troubleshoot API interactions from a dedicated portal for API call log.
API calls log
Problem

I struggle with scattered guest information across systems & hotels.

Example: PMS is not able to store all important information from POS.
Solution
Break data silos between software systems. We’ll ensure stable 2-way integrations with detailed data flowing through in real-time.
Guest Data Sync
Problem

I struggle with inconsistent profile data as I am using multiple PMS

Example: Each PMS captures different profile fields.
Solution
CORE Middleware normalizes and enriches reservation data, ensuring consistency and accuracy.
Data quality management & enhancement
Problem

I cannot clearly see all reservations across my hotel chain in real-time.

Example: Different PMS/CRS systems across the chain
Solution
Monitor reservations across your entire property portfolio from one intuitive dashboard
Reservation store
Problem

I am unable to see what’s going wrong during downtown.

Example: Reservations aren't coming in, and unsure which integration is malfunctioning.
Solution
Drill down into errors and root causes with real-time performance monitoring & custom alerts.
Real-time monitoring
Problem

I encounter operational issues arising from data quality problems.

Example: Telephone number is incorrect
Solution
Maintain data accuracy, completeness, and consistency, providing real-time alerts.
Data health
Problem

I struggle with low-quality & limited communication between hotel solutions.

Example: PMS is not able to store all important information from POS.
Solution
Break data silos between software systems. We’ll ensure stable 2-way integrations with detailed data flowing through in real-time.
Data consolidation & normalization

Management & HQ

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Problem

I’m unsure how to turn new guests into loyal ones and improve my marketing.

Example: Missing insights on the timeframe to becoming a loyal guest.
Solution
Use the Conversion – New to Recurring report for insights to improve your marketing and build guest loyalty.
Conversion – New to Recurring (CDP)
Problem

I want to know how much a single guest brings in and if this increases over time.

Example: Average spend per guest per hotel
Solution
Access the High-Level View Report, a comprehensive tool that offers insights into guest revenue and stays.
High Level Overview Report (CDP)
Problem

I want to give the Front Office team valuable insights into guest stays.

Example: Insights into arrivals, departures, and guest information.
Solution
Offer a detailed view of guest stays, reservation sources, and sub-sources, based on data from all connected systems.
Guest Stay Report (CDP)
Problem

I am not able to understand the characteristics of guests for strategic targeting.

Example: bringing all demographic reports from different systems in one format.
Solution
Leverage a standardized report that provides insights into guest demographics, including gender, age, and country of origin.
Demographic Report (CDP)
Problem

I want to monitor the profile data quality across multiple hotels.

Example: The % of profiles that have required amount of data
Solution
Evaluate profile data quality within the reservation database, addressing data accuracy and completeness concerns.
Data Quality Report – Profile Data
Problem

I need a comprehensive overview of the room types’ performance, but I need help to gather this information.

Example: Room type performance data is scattered across multiple PMS'.
Solution
Get a high-level summary of each room type’s performance, offering insights into ADR, RevPAR, occupancy, revenue, and room nights.
Room Type Performance Report
Problem

I need insights into the lead time for reservations.

Example: How far in advance guests book their stays across all hotels.
Solution
Receive valuable insights into reservation lead times, helping understand booking patterns.
Lead Time Report
Problem

I don’t have a single overview to track KPIs across multiple hotels.

Example: Occupancy, ADR and RevPAR
Solution
Get a high-level overview of KPIs like ADR, RevPAR, Occupancy, Revenue, and Room nights, for different hotels.  
360° Analytics Report
Problem

I am struggling to gather comprehensive performance data for hotels.

Example: Different reporting styles due to different systems in hotels
Solution
Gain access to a suite of reports covering hotel performance metrics across all hotels.
360° Analytics Report
Problem

I want to identify rebooking trends and their impact on hotel revenue.

Example: Type of guests that cancel their existing booking and book again for better rats.
Solution
Get in-depth insights into rebooking guests, including their demographics and rebooking patterns.
Rebooking Report (CDP)
Problem

I struggle to measure the effectiveness of my email campaigns in driving reservations and conversions.

Example: The % of conversion within 14 days across the chain.
Solution
Easily access the 14-Day Lookback Report to precisely link reservations and conversions to email campaigns, providing valuable insights for campaign optimization.
14-Day Lookback (CDP)
Problem

I want to know how different touch points affect guests’ Lifetime Value (LTV).

Example: Average LTV and frequency per channel
Solution
Simplify complex data analysis by organizing and presenting key conversion data in an easily understandable format.
Conversions – LTV Report (CDP)
Problem

I struggle to identify guests at risk of churning and understand their changing behaviors over time.

Example: Average churn risk across all hotels
Solution
Get an in-depth overview of at-risk guests, their evolving behaviors, and actionable insights to prevent churn.
Churn Risk Report (CDP)
Problem

I want to know the effectiveness and ROI of loyalty programs.

Example: The value of a repeat guest program
Solution
Evaluate the impact and cost-effectiveness of loyalty programs.
Loyalty Report (CDP)
Problem

I find it challenging to monitor open profile matches and historical merge data.

Example: Monitor merged profile quality
Solution
Gain visibility into when profiles were initially matched and the effectiveness of matching rules.
Match & Merge Report (CDP)
Problem

I am not able to identify and categorize guests based on RFM metrics.

Example: High value guests need to be recognized
Solution
Efficiently categorize guests based on RFM metrics and understand how to set up loyalty levels effectively.
RFM+ Analysis Report (CDP)
Problem

I struggle with inefficient address data collection practices across different hotels within a chain.

Example: Input quality varies amongst reservation staff or regions
Solution
Compare and improve data collection efforts across different hotels within a chain.
Data Quality Report – Addresses
Problem

I want to know which channels perform best, but need help gathering this information effectively.

Example: Channel with highest room revenue, number of rooms sold, number of reservations, and ADR.
Solution
Access comprehensive analysis of a hotel’s performance across various booking channels, sub-channels, and market segments.
Channel Mix Report
Problem

I need to track and analyze ancillary revenue across hotels.

Example: Food, parking, and bar revenue.
Solution
Manage and monitor ancillary income, gaining insight into its performance and impact across hotels.
Ancillary Revenue Report
Problem

I struggle with scattered guest information across systems & hotels.

Example: Diet preference known not known in PMS
Solution
Gather all important guest information and preferences in one overview. In real-time.
One Golden Profile
Problem

I want to discover valuable, hidden guest segments.

Example: Indirect business staying 3 nights with a higher than average spend.
Solution
Discover valuable hidden guest segments by applying machine learning to data.
AI Guest segmentation

Marketing & Loyalty

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Problem

I’m unsure how to turn new guests into loyal ones and improve my marketing.

Example: Missing insights on the timeframe to becoming a loyal guest.
Solution
Use the Conversion – New to Recurring report for insights to improve your marketing and build guest loyalty.
Conversion – New to Recurring (CDP)
Problem

I struggle with understanding the impact of paid media on transient and group bookings.

Example: The % of bookings exposed to paid media
Solution
Gain insights into paid media exposure for different types of bookings, allowing you to refine your marketing strategies effectively.
Conversions – Paid Media Booking (CDP)
Problem

want to boost engagement and conversions through tailored marketing with customer behavior insights.

Example: Activate campaign after a repeat guest visits the website.
Solution
Segment customers through actions like website visits, purchase history, and email engagement for personalized marketing.
Event & behavioral-based segment Creation
Problem

I spend too much time navigating between the CRM and external Marketing Communication tools when creating marketing campaigns.

Example: Exporting reservation data from the PMS to CRM system .
Solution
Simplify campaign creation, reducing back-and-forth and streamlining the workflow.
Marketing messaging
Problem

I want to see all event & behavioral data in a single guest profile.  

Example: All data on media interactions, transactions and bookings from different systems.
Solution
Centralize all behavioral & event data, providing a holistic guest view.
Behavioral & Event data
Problem

I struggle to measure the effectiveness of my email campaigns in driving reservations and conversions.

Example: The % of conversion within 14 days across the chain.
Solution
Easily access the 14-Day Lookback Report to precisely link reservations and conversions to email campaigns, providing valuable insights for campaign optimization.
14-Day Lookback (CDP)
Problem

I struggle with inaccurate or missing guest data.

Example: OTA reservations contain limited information.
Solution
Benefit from precise guest data, enriched with information from connected systems and curated using machine learning.
Accurate guest information
Problem

I struggle to capture and use guest preferences effectively, resulting in a one-size-fits-all guest experience.

Example: Heating and pillow preference.
Solution
Consolidate guest preferences in a golden profile to create tailored and memorable stays.
Preferences
Problem

I want to personalize incentives and track loyalty points effectively for our customers.

Example: Automatically assign loyalty points based on spend
Solution
Easily integrate the system for better-than-usual loyalty calculations, ensuring guests are rewarded proportionately.
Points & rewards
Problem

I can’t effectively use guest loyalty data for personalized marketing because standard loyalty models don’t fit our needs.

Example: The calcuation of our loyalty system is not rewarding the right guests.
Solution
Access the RFM+ Loyalty Calculation Engine, a customizable tool that calculates loyalty scores and tiers based on guest.
RFM+ Loyalty
Problem

I struggle with fragmented guest subscription preferences and data consents.

Example: Guests are changing subscriptions in different systems e.g. restaurant and spa.
Solution
Offer guests a unified platform to manage their data consent status and updates connected systems with their preferences.
Central subscription center
Problem

I want to manage guest communication around reservations, modifications, and cancellations efficiently and on time.

Example: Sending pre-arrival communication at the right time
Solution
Automate and streamlining the process of event-triggered and scheduled communications.
Transactional messaging
Problem

I want to provide a seamless and secure login experience across platforms.

Example: Preventing the hassle of managing multiple login credentials across various systems.
Solution
SSO enhances the guest experience by offering a secure, consistent, and efficient login process.
Single Sign-On (SSO)
Problem

I want to have personalized messaging towards loyal guests

Example: Surprise & delight campaign towards loyal guests
Solution
Utilize RFM score-based segmentation to enhance guest engagement and loyalty.
RFM+ segment Creation
Problem

I struggle with identifying the overlaps between manually segmented profiles.

Example: Guests are included in multiple campaigns
Solution
Easily identify profile overlaps within manually segmented groups.
Manual Segmentation – Overlap Report (CDP)
Problem

I want to know the effectiveness and ROI of loyalty programs.

Example: The value of a repeat guest program
Solution
Evaluate the impact and cost-effectiveness of loyalty programs.
Loyalty Report (CDP)
Problem

I am not able to identify and categorize guests based on RFM metrics.

Example: High value guests need to be recognized
Solution
Efficiently categorize guests based on RFM metrics and understand how to set up loyalty levels effectively.
RFM+ Analysis Report (CDP)
Problem

I want to enable guests to log in using their preferred social media channel.

Example: Using Google Login to enter the hotel website.
Solution
Social Log-Ins enhance convenience and security by allowing guests to use their trusted social media accounts.
Social Logins
Problem

I want to truly understand the hotel’s main guest segments that bring most value to deliver personalized content.

Example: Segmentation is too broad to uncover clusters of high value guest.
Solution
Benefit from Automated Guest Segmentation, a powerful AI solution revealing common and hidden segments.
AI & ML Guest Segmentation
Problem

I don’t have enough control over transactional emails.

Example: Delaying transactional emails for complex bookings.
Solution
Easily setup and manage communication within one platform.
Transactional messaging
Problem

I want to cater the guests’ heating & lighting preferences.

Example: Maintaining the guests’ preferred room temperature from previous stays
Solution
Seamlessly connect the hotel’s heating & lightning system to Ireckonu’s CDP and Middleware to act on preferences.
Preferences
Problem

I experience lost upsell opportunities and low conversion rates based on untargeted selling.

Example: Offering cheap wine to guests that have spent over 200 euros on wine before.
Solution
Offer the most relevant available item based on historical data and details of the current stay.
Next best offer
Problem

I don’t know which guests are likely to churn.

Example: Loyal guests’ frequency is lowering.
Solution
Utilize AI-driven Churn Identification to re-engage with at-risk guests proactively.
Churn management
Problem

I want to market to those who are likely to book again at the right time.

Example: Showcasing refurbished rooms to couples that are thinking of booking again.
Solution
Leverage our mathmatical model which predicts the likelihood that a guest will come back.
Problem

I am not able to provide a mobile check-in due to a lack of connectivity between systems.

Example: PMS doesn’t provide an integration with the preferred mobile check-in solution.
Solution
Support guest self-check-in through a mobile app.
Pre-Check-in
Problem

I struggle with scattered guest information across systems & hotels.

Example: Diet preference known not known in PMS
Solution
Gather all important guest information and preferences in one overview. In real-time.
One Golden Profile
Problem

I want to have a loyalty program like my competitors.

Example: Fans of MOP, Hilton Honors, and Bon Voyage.
Solution
Bring loyalty to life with points, third party information and our advanced loyalty calculation Including RFM+.
RFM+
Problem

I need to eliminate duplicate guest profiles due to typos, human errors, multiple systems, and imports.

Example: Rick JONES, Rick Jones, Rik Jones
Solution
Automatically or manually eliminate duplicated profiles with the highest degree of accuracy.
Match & Merge
Problem

I want to discover valuable, hidden guest segments.

Example: Indirect business staying 3 nights with a higher than average spend.
Solution
Discover valuable hidden guest segments by applying machine learning to data.
AI Guest segmentation

Security

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Problem

I want to provide a seamless and secure login experience across platforms.

Example: Preventing the hassle of managing multiple login credentials across various systems.
Solution
SSO enhances the guest experience by offering a secure, consistent, and efficient login process.
Single Sign-On (SSO)
Problem

I want to enable guests to log in using their preferred social media channel.

Example: Using Google Login to enter the hotel website.
Solution
Social Log-Ins enhance convenience and security by allowing guests to use their trusted social media accounts.
Social Logins
Problem

I am deeply concerned about risking a breach of guest data privacy.

Example: The reservation system is not secure enough, allowing unauthorized access to guest personal information.
Solution
Automatically anonymize profile data across all systems.
Data privacy hub
Problem

I want to prevent guests still receiving communication after opting out.

Example: Guest Still receives promotions from Spa after opt-out
Solution
Reach full CCPA/GDPR compliance with a centralized subscription center.
Data Privacy Hub
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