Solutions - Ireckonu

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 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 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

Update guest profiles in real time, 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 track profile creation to know if integrations fail in the early stage.

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 my chain.

Example: Input quality varies amongst reservation staff or regions

Solution

Compare and improve data collection efforts across different hotels based on simple, scannable reporting.

Data Quality Report – Addresses

Problem

I am dependent on external partners for data analysis across my technology systems.

Example: Data is too complex and fragmented for us to analyze

Solution

Empower your team to generate their own reports, connecting data from all systems in your tech stack.

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.

Solution

Monitor, analyze, and troubleshoot API interactions from a dedicated portal for API call log.

API calls log

Problem

I struggle with scattered and siloed guest information across systems & hotels.

Example: PMS is not able to store all important information from POS.

Solution

Remove 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 and different booking engines.

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 when a system experiences downtime.

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 for IT teams.

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

Get a Demo

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

Report on conversion rates and guest engagement to see the impact of touchpoints.

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 easy 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

Get one report to show the impact and cost-effectiveness of loyalty programs.

Loyalty Report (CDP)

Problem

I find it challenging to monitor open profile matches and historical data of merged profiles.

Example: Monitor merged profile quality

Solution

Easy report on 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 and high-spend guests need to be recognized

Solution

Get a snapshot of how guests are categorized based on RFM metrics to understand how to set up loyalty levels and reward tiers.

RFM+ Analysis Report (CDP)

Problem

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

Example: Input quality varies amongst reservation staff or regions

Solution

Compare and improve data collection efforts across different hotels based on simple, scannable reporting.

Data Quality Report – Addresses

Problem

I want to know which marketing 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 and venues.

Example: Food, parking, and bar revenue.

Solution

Manage and monitor ancillary income, gaining insight into the performance and impact of different venues 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 stored in the CDP.

AI Guest segmentation

Marketing & Loyalty

Get a Demo

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 communication tools when creating marketing campaigns.

Example: Exporting reservation data from the PMS to CRM system .

Solution

Build branded communications and create campaigns in a central tool, reducing back-and-forth and simplifying marketing workflows.

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

Manage guest communication consent status and update connected systems with their preferences to remain compliant.

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 the process of event-triggered and scheduled communications.

Transactional messaging

Problem

I want to provide my guests 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 struggle to recognize the true life-time value of my guests.

Example: Surprise & delight campaign towards loyal guests

Solution

Utilize RFM score-based segmentation to engage with your most valuable guests and boost 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 and reduce 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

Get one report to show 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 and high-spend guests need to be recognized

Solution

Get a snapshot of how guests are categorized based on RFM metrics to understand how to set up loyalty levels and reward tiers.

RFM+ Analysis Report (CDP)

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

Use AI and Machine Learning to uncover hidden clusters based on guest segmentation data, increase direct bookings, and build targeted engagement.

AI & ML Guest Segmentation

Problem

I don’t have enough control over transactional emails and when they send.

Example: Delaying transactional emails for complex bookings.

Solution

Easily setup and manage communication within one platform so you can send pre-stay, check-in, and post-stay engagements to your guests.

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

Automate offering guests an upsell that is most likely to convert 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: Decrease in guest frequency without a change in services or operations.

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 a 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 recognize my guests and have a loyalty program like my competitors.

Example: Fans of Mandarin Oriental, Hilton Honors, and Marriot 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 stored in the CDP.

AI Guest segmentation

Security

Get a Demo

Problem

I want to provide my guests 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 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 to remain secure and compliant.

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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Category

Data & IT

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

I am struggling with missing or incorrect information in reservations.

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

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

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

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

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

I struggle with inaccurate or missing guest data.

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

I want duplicate profiles to be eliminated across all systems.

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

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

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

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

I am dependent on external partners for data analysis across my technology systems.

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

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

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

I struggle with scattered and siloed guest information across systems & hotels.

I struggle with inconsistent profile data as I am using multiple PMS and different booking engines.

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

I am unable to see what’s going wrong when a system experiences downtime.

I encounter operational issues arising from data quality problems.

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

Management & HQ

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

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

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

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

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

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

I need insights into the lead time for reservations.

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

I am struggling to gather comprehensive performance data for hotels.

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

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

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

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

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

I find it challenging to monitor open profile matches and historical data of merged profiles.

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

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

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

I need to track and analyze ancillary revenue across hotels and venues.

I struggle with scattered guest information across systems & hotels.

I want to discover valuable, hidden guest segments.

Marketing & Loyalty

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

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

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

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

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

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

I struggle with inaccurate or missing guest data.

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

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

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

I struggle with fragmented guest subscription preferences and data consents.

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

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

I struggle to recognize the true life-time value of my guests.

I struggle with identifying the overlaps between manually segmented profiles.

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

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

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

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

I don’t have enough control over transactional emails and when they send.

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

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

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

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

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

I struggle with scattered guest information across systems & hotels.

I want to recognize my guests and have a loyalty program like my competitors.

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

I want to discover valuable, hidden guest segments.

Security

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

“We aren’t simply creating integrations.
We’re creating something extraordinary for hospitality.”