Your Hotel Can Now Work Through ChatGPT and Claude. That Changes Everything.

HotelGEX connects hotel operations with the world of artificial intelligence from OpenAI and Anthropic. A new way to manage hotels, analyse data and coordinate departments from ChatGPT and Claude, without relying exclusively on traditional hotel software screens.

For years, we have been talking about hotel digitalisation. We have adopted PMSs, channel managers, CRMs, booking engines, revenue management tools, housekeeping platforms and a host of applications designed to make our work easier.

But there is a paradox well known to those of us who manage hotels: the more tools we add, the more time we can end up spending consulting them. Technology was meant to simplify our lives. Yet all too often, it forces us to adapt to its way of working.

What if the software had to adapt to the way we think, ask questions and manage?

This is the new frontier opened by HotelGEX with its connector for ChatGPT by OpenAI and Claude by Anthropic. Its implications go far beyond asking how many rooms we will have occupied tomorrow.

From artificial intelligence inside the hotel to an entire universe beyond it

HotelGEX incorporates AI capabilities powered by OpenAI and Anthropic models in areas such as Revenue Intelligence, Customer 360, AI Concierge, Housekeeping, Groups & Events and CRM. The aim is not to place a generic chatbot inside a PMS, but to work with the property’s real context: bookings, guests, occupancy, rates, tasks and operational rules.

Now we are taking a further step: artificial intelligence no longer has to live exclusively within HotelGEX.

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With the new connector, HotelGEX can make hotel data and tools available to ChatGPT and Claude, according to the enabled functions and permissions. The general manager, revenue manager, sales manager or front office manager can use their hotel’s context in the assistants they already use to research, write, analyse and plan.

A hotel manager can start the day differently

Let us imagine the manager opens ChatGPT and writes:

“Good morning. Prepare an executive briefing for the hotel today. Analyse occupancy, arrivals, departures, forecast revenue, outstanding issues and staffing plans. Highlight the five matters requiring my attention.”

Rather than manually gathering data from different departments, they can explore it further through a conversation:

• “Which rooms have departures and new arrivals today?”
• “Do we have enough room attendants to prepare them on time?”
• “Compare this weekend’s occupancy with the same period last year.”
• “Identify opportunities to increase the average revenue from bookings arriving over the next seven days.”

The value is not simply receiving an answer in natural language. It is connecting information from different areas and turning it into decisions without having to manually reconstruct the context.

Revenue Management: a conversation with strategy

AI can become a sounding board for analysing scenarios and challenging commercial decisions:

• “Analyse pickup over the last seven days for the next four weeks. Identify dates with low demand.”
• “We have 82% occupancy on Saturday, but 43% on Friday. Would it make sense to apply a two-night minimum stay?”
• “Compare ADR, RevPAR and booking pace against last year.”
• “Design three pricing scenarios for the next long weekend.”

AI helps interpret indicators and develop recommendations based on the available data. Changes to rates, inventory or restrictions should depend on dedicated execution tools, permissions and validations. The manager does not need to master every menu to access sophisticated analysis: they need to ask the right questions.

Housekeeping: planning based on real occupancy

We can ask a connected assistant:

• “Prepare a proposed housekeeping schedule for tomorrow, based on departures, arrivals, touch-ups and available staff.”
• “Which days next week will have the highest workload?”
• “Check whether there are any conflicts with the configured labour rules.”
• “Prepare a briefing for the executive housekeeper with priority rooms and outstanding issues.”

AI does not replace the executive housekeeper’s judgement, but it can reduce the hours spent on checks and adjustments. When the relevant actions are enabled, certain proposals can be transferred to the system with authorisation.

Front desk: an assistant that understands bookings and guests

We are not talking about a chatbot that simply explains breakfast hours. We are talking about consulting the authorised context of bookings, stays and guests.

• “Which guests are arriving tomorrow, and which have special requests?”
• “Prepare a summary of this weekend’s VIP guests.”
• “Identify bookings with incomplete information.”
• “Draft personalised messages for guests arriving tomorrow.”
• “Analyse incidents from the last 30 days and identify the most recurring ones.”

The front desk can anticipate needs and reduce repetitive administrative tasks, always respecting privacy and access permissions.

Sales and CRM: research, sell and follow up

Imagine we want to strengthen the corporate segment. We can combine external research with authorised sales records from HotelGEX:

• “Identify companies in Valencia with potential to generate corporate accommodation and events business.”
• “Prepare a segmented sales strategy for the identified opportunities.”
• “Draft a personalised email for each customer type.”
• “Analyse which opportunities have gone more than 15 days without follow-up.”
• “Prepare proposals for meetings, accommodation and catering.”

The combination of research, segmentation, proposal preparation and follow-up can reduce fragmentation in sales work. CRM updates or email sends require the relevant functions to be enabled and authorised.

Food and beverage, events and experiences: the hotel is far more than rooms

The connector also opens up possibilities for areas that often operate separately from room inventory.

In food and beverage:

• “Estimate the forecast breakfast volume for the next five days.”
• “Analyse available food and beverage sales data and identify the best-performing products.”
• “Prepare a production proposal for the weekend.”

For groups and events:

• “Prepare a proposal for a corporate meeting for 50 people, including accommodation, a coffee break and lunch.”
• “Review which event quotations are awaiting a response.”
• “Analyse the projected profitability of an event using its recorded revenue and costs.”

For loyalty:

• “Identify repeat guests who may be interested in a gastronomic experience during their next stay.”

Human resources and internal organisation

With access to the relevant information, we can also request analyses of hours worked, variances between scheduled and actual working hours, proposed rosters that comply with configured rules, productivity reports and internal communications. Human oversight and labour compliance remain essential.

What is truly interesting: connecting worlds

So far, we have discussed HotelGEX through ChatGPT and Claude. But the potential multiplies when we also connect other applications, provided the user has them available and authorises access.

“Analyse the outstanding sales opportunities in HotelGEX, review the related emails and prepare a summary of customers who need follow-up.”

“Review the planned group bookings, compare them with the events in my calendar and prepare a work plan.”

“Using last month’s results, prepare an executive report for ownership, with charts, conclusions and an action plan.”

HotelGEX provides the hotel context. ChatGPT and Claude provide reasoning, research, writing and coordination capabilities with other tools. Together, they make it possible to imagine workflows that previously required constantly switching between applications.

The connector is not another chatbot: it is a new gateway to the hotel

The connection technology is based on the concept of MCP (Model Context Protocol), an open standard for connecting AI assistants with systems and tools.

In simple terms, an assistant can request information from HotelGEX and use the functions exposed by the connector. These may be queries or, when implemented and authorised, operations to create records, update information or initiate processes.

That does not mean that any assistant can do anything: operations depend on the connector’s actual scope, integrations, profiles and granted permissions. Guest privacy, traceability, security and action controls must be fundamental requirements.

The next great battle in hotel software will not be about having more screens

For decades, providers have competed by adding functionality: more modules, more menus, more reports. We may be reaching a turning point.

If we can ask directly for a piece of data, analyse it and request an action, why navigate through six screens to achieve the same result?

This does not mean PMSs, calendars or management dashboards will disappear. They will remain indispensable for certain tasks. But an increasing share of work could move to conversational interfaces that understand objectives, bring together information and coordinate operations.

Software will no longer be solely the place where we work. It will also be the infrastructure that enables our assistants to work alongside us.

The challenge is no longer adopting AI. It is learning to manage with it

An assistant connected to incorrect data will continue to deliver incorrect conclusions. Automation without rules can create problems. And no model understands the service culture and the human needs of its team better than a good professional.

But the ability to bring together information, assess alternatives and coordinate tasks is advancing enormously. Those who know how to make the most of it will be able to spend less time searching for data and more time making decisions; less time preparing reports and more time interpreting what is happening; less time on administrative tasks and more time selling and improving service.

HotelGEX opens the door. The limit is no longer solely in the software.

Connecting HotelGEX with ChatGPT and Claude is not simply about adding another feature. It is about changing the relationship between people, data and management tools.

Until now, we asked what our software could do. From now on, it will make more sense to ask: “What do I need to achieve in my hotel today?”

It is not about replacing the general manager, front desk agent, revenue manager or executive housekeeper, but about giving them analytical and execution capabilities that previously required far more resources.

Because the hotel of the future will not necessarily be the one with the most applications. It will be the one that succeeds in making all its tools, data and intelligence work as a single team.

And that future is already beginning.

Discover HotelGEX: hotelgex.es.