A customer experience platform for hospitality should help teams understand a guest’s needs, decide what to do, and respond on the right channel. Picture a guest who sends the hotel an SMS to ask for a late checkout on the morning they’re due to leave. When they don’t hear back, they call the front desk. The reservation is on the screen, but the message isn’t. The guest has to explain the request again. By then, the original checkout time is only 10 minutes away.
The booking system shows the reservation, and the messaging platform stores the guest’s SMS. Each tool may work as intended, but the front desk can’t see the reservation and the late-checkout request together.
This guide helps you assess whether a platform reaches guests on their preferred channels and respects their consent. It also covers how systems share guest context, when staff should take over from automation, and how to measure results against total cost.
Hospitality customer experience covers guest interactions before, during, and after a visit. These interactions include booking, arrival, service, payment, and follow-up. A customer experience platform helps teams understand what happened and decide how to respond. It then sends a response through the channels guests use, while respecting their preferences and consent.
Assess hospitality CX through three connected layers.
- Insight shows what a guest experienced through feedback, surveys, profile data, and past interactions.
- Orchestration determines what should happen next, such as sending an update, offering help, or asking staff to step in.
- Delivery sends that response to the guest through a channel they can access.
A platform can handle one layer well and still leave the experience fragmented. For example, a survey may reveal that a guest had trouble checking in, but the insight only helps if it reaches the team that can resolve the issue. That team can use guest context to send a timely, relevant update through a messaging tool.
Insight should guide the next action, and the next action should reach the guest. That link matters when a guest needs help with a reservation, arrival update, or service issue.
Feedback platforms collect guest opinions. Contact center systems manage conversations between staff and guests. Property tools handle check-in, room access, and upgrades.
These tools can be useful, but buyers need to check how well they share information. If a guest mentions a problem in a survey, can the service team see it? If an agent resolves the issue, does that history update the guest profile? If a message needs to go out, can the platform act on the information without a manual handoff between systems?
When these systems do not connect, teams use separate tools and copy guest context between them. Message delivery can still fail. A business may know what happened and what to do but fail to reach the guest.
Before you compare features, test whether it can reach guests in the markets they come from, deliver messages reliably, honor their consent, and respond in their language. The four checks below cover each of these in turn.
A channel list doesn’t tell a hotel whether it can reach its guests. Channel use varies by country, and international groups may serve guests who prefer messaging apps, SMS, email, voice, or other channels. A platform that supports a channel in principle may not be able to deliver through it in every market.
Buyers should ask vendors which channels they can reach guests on in the countries those guests come from. They should also ask whether coverage varies by channel, destination, sender type, or local requirements. This gives a more useful answer than a list of logos.
The same question applies across a hotel group’s brands and locations. A channel may work at one property but not another. Compare coverage by market instead of relying on a global claim.
Even with coverage in place, messages can still fail, so look into what happens next.
A message that doesn’t arrive can create operational work. If a guest misses arrival instructions, they may call the front desk or wait for help on arrival. If an upgrade offer doesn’t reach them in time, the opportunity may pass. Delivery is part of the guest experience because a message only helps when it reaches the intended person at the right time.
Ask vendors how they measure delivery rate and what their reporting counts as delivered. Then ask what happens when the first channel fails. Channel fallback means trying another available channel when the original message can’t be delivered. For a time-sensitive update, ask whether fallback happens automatically, how long it takes, and what determines the next channel.
Routing also affects what happens behind the scenes. Delivery can depend on the destination market, carrier, channel, sender setup, and message type. Buyers should ask how a provider handles those conditions and how it reports failed or delayed messages. Vendors should explain how they calculate delivery rates. They should also list which messages failed or arrived late and explain why.
Once you know whether messages can reach a guest, check whether the platform honors their consent and preferences.
Consent belongs in the platform evaluation, not in a spreadsheet managed separately by each property. Ask where a guest’s permission is captured, how preferences are stored, and how changes are reflected across channels and systems.
Groups that operate across borders should ask who owns consent records and how they can show that guest preferences were followed. A guest who opts out of one type of message shouldn’t keep receiving it because another tool has an outdated record.
Ask who owns each consent record and whether teams can see when the guest gave consent. Confirm that opt-outs apply across locations and channels. Can staff retrieve the record when needed? Set these rules before sending messages at scale.
Consent tells you whether a guest may receive a message, but you also need to know which language they prefer.
Guests may prefer different channels and languages in each market. Ask which languages the platform supports and how it stores each guest’s preference. Check whether those options apply across every channel and type of interaction.
Ask whether the platform detects a guest’s preferred language, uses a saved setting, or follows the guest’s selection. If it can’t identify the preference with confidence, ask what happens next. The platform should offer the guest a choice or hand the conversation to staff.
With delivery and consent covered, consider where AI fits and when a person should take over.
AI can take routine guest requests off staff queues, but it needs context to respond well. A scripted chatbot follows a fixed FAQ tree. An AI agent can use connected guest data, conversation history, and business rules.
An AI agent can use a guest’s profile and conversation history to understand prior requests and choose the next step. If the agent can access relevant property systems, it can also use booking details and service rules.
The late-checkout request explored earlier also shows why an AI agent needs context. Access to the reservation, room details, and the property’s availability rules lets it check the request and either answer or send it to staff for approval. Without that access, it shouldn’t guess. The AI agent can ask a follow-up question or pass the request to staff with the context it has.
Keep AI focused on routine tasks rather than every guest question. The system can handle self-service requests. Staff should handle cases that need judgment or access to restricted information.
Complaints, service recovery, payment disputes, and conversations with distressed guests often need human judgment. A platform should make it easy for automation to recognize those situations and bring in the right staff member.
During a handover, staff should receive the full conversation and relevant guest profile. This helps them continue without asking the guest to repeat the problem. The handover should also include interaction history and session details, so staff know what the guest has tried and what the system has promised.
AI can handle routine volume. Staff should step in when a guest needs empathy, discretion, or an exception. Test that handover during a vendor demo.
Use vendor meetings to test how the platform works across markets, systems, staff, and guest data. Ask for a demonstration of those connections, not just a feature list. These questions can expose gaps before procurement.
Record each vendor’s answer so you can compare providers using the same criteria.
- Which channels can you reach my guests on in the countries they come from?
- What delivery rate do you report, and how do you calculate it?
- What happens when a message fails on the first channel?
- Where is guest consent captured, stored, changed, and applied across channels?
- Which guest languages are supported, and how does the platform identify or store a preference?
- Does the guest profile persist when a conversation moves between channels?
- What conversation history and guest data does a staff member receive on handover?
- Which of our systems can you integrate with, and what data moves between them?
- What is the total cost across the modules, integrations, implementation, and ongoing support?
- Who owns the guest data, and how can we export it if we change platforms?
- What records can we review to show that consent and communication preferences were followed?
- What drives the implementation timeline, and what work must our team complete?
Ask each vendor to demonstrate its claims or share written evidence. “Global reach” doesn’t show whether a provider can reach your guests on preferred channels in each market.
An integration can pass a booking reference from a property management system to a messaging tool. That connection alone does not create a unified guest profile. Deeper integrations connect records and interactions across systems. This helps teams recognize the same guest and use their context consistently.
Fragmented records create practical problems. A guest may appear under different names or contact details in a booking engine, a property system, and a loyalty platform. Staff may see only part of the guest’s history. Duplicate profiles can trigger repeat messages, and reports may count one guest as several people.
Ask which fields move between systems, how identity is matched, how often records update, and which system owns each field. Also ask what happens when two records conflict. The word “integration” isn’t enough. Buyers need to understand what the connection enables.
License fees are only one part of the cost of hospitality CX. A group also pays for separate contracts, implementation, and system maintenance. Teams spend time managing tools that don’t share guest context.
The guest experience has a cost too. When teams can’t see the same profile or conversation history, guests may have to repeat questions. Staff may miss a relevant moment or send a message that ignores the guest’s latest interaction. These costs may not appear on a software quote. Ask vendors to include modules, integrations, support, and ongoing maintenance in the total cost.
A shared guest profile can make information easier to use, but it doesn’t guarantee a lower total cost. It gives buyers a clearer basis for comparing the full stack and the work needed to keep systems connected. Decide how to measure results before you make the final choice.
Guest scores describe how people experienced a stay or interaction. Operational metrics show teams where to act. Track both to manage customer experience in the hospitality industry.
Net Promoter Score (NPS) measures a guest’s likelihood to recommend a property or brand. It’s useful as a broad relationship measure, often collected after a stay or at a defined point in the guest relationship.
Customer Satisfaction Score (CSAT) captures satisfaction with a specific interaction or overall experience. A hotel might collect it after check-in, a room-service request, or a service recovery conversation.
Customer Effort Score (CES) measures how easy it was for a guest to complete a task or resolve an issue. It’s most useful after a specific interaction, such as changing a booking or getting help with a room problem.
Review score reflects public guest feedback across review platforms. It can show patterns in how people describe a property and influence how future guests assess it.
Use each metric where it can answer a clear question. Collecting a score without deciding how the team will act on it adds reporting work without improving the guest experience.
Response time shows how quickly guests get help. First-contact resolution shows whether staff solve an issue in one interaction. Automation containment rate shows how often an automated conversation ends without staff’s help. Cost per interaction shows the resources teams use to serve guests.
Delivery rate and opt-in rate show whether guest communications can reach the intended audience. Open and conversion rates can help assess whether a message prompted the intended action. These metrics track different parts of the process.
NPS shows recommendation intent but doesn’t identify the operational cause of a change. Pair it with response time, resolution, delivery, and channel engagement. Those measures can point teams toward the issue to investigate. A CX platform should make that data available to the teams and tools responsible for action.
To act on guest data, teams need connected customer data, automation, messaging, and human support. Infobip’s AgentOS is an agentic AI platform with modules for these capabilities. The modules aim to keep guest context available across interactions. Each capability below is a module within AgentOS, not a standalone product.
The Customer engagement platform supports campaigns and guest messaging across channels. To deliver those messages across markets, it draws on Infobip’s network of 800+ direct operator connections. Infobip’s infrastructure includes 40+ data centers and auxiliary locations. It also has redundant connectivity and automatic failover. If a message still cannot be delivered, the platform can route it to the next available channel.
These capabilities affect market coverage and message delivery for hospitality groups.
The Conversational CDP brings customer profile data and conversation history together across AgentOS. For a hospitality group, connected booking, property, loyalty, and service systems add to a more complete guest profile. What teams can see depends on which systems connect and what data they share.
Teams can use a shared guest profile to review a guest preferences and past interactions before deciding what to do next. The profile links guest insight to messaging, automation, and staff support.
The Chatbot building platform lets teams build chatbots for routine guest questions. AI agents can handle more involved tasks when they have access to the right conversation context, data, and permissions. AI agents can hand conversations to staff when a request needs human judgment. For hotel chatbot examples, see the guide to hotel chatbots.
The Cloud contact center lets staff continue conversations that need human support. When automation hands off a conversation, staff can see its history and the customer profile, so they can pick up where automation left off. That context helps guest service teams avoid repeated questions and understand the issue they need to resolve.
These examples show how hospitality brands use messaging for guest conversations and loyalty journeys.
Club Med and Haidilao illustrate how resort and restaurant brands use messaging at different points in the customer journey.
At Club Med, WhatsApp has become a major guest-service channel across 15 markets. It handles about one-third of inbound contacts, and roughly 42% of those conversations are automated.
Haidilao uses personalized email journeys for loyalty members. Over six months, those journeys achieved a 2.72× higher click-through rate and a 2.14× higher open rate, with 95% email delivery.
Compare these examples with the guest journeys and systems in your own CX stack.
Use the twelve questions to compare providers with the tools you use now. When a hotel connects its booking and messaging systems to AgentOS, staff can see the guest’s late-checkout SMS alongside reservation details. They can then respond without asking the guest to repeat the request.
