{"id":5209,"date":"2025-07-24T15:37:12","date_gmt":"2025-07-24T18:37:12","guid":{"rendered":"https:\/\/hsmailatam.org\/?p=5209"},"modified":"2025-07-24T15:37:17","modified_gmt":"2025-07-24T18:37:17","slug":"ia-en-accion-como-transformar-flujos-de-trabajo-en-la-hoteleria-para-una-productividad-maxima","status":"publish","type":"post","link":"https:\/\/hsmailatam.org\/en\/ia-en-accion-como-transformar-flujos-de-trabajo-en-la-hoteleria-para-una-productividad-maxima\/","title":{"rendered":"AI in Action: How to Transform Hospitality Workflows for Maximum Productivity"},"content":{"rendered":"

By Gabriela Otto, President of HSMAI Brazil and Latam, directly from Indianapolis, USA, at HSMAI Commercial Strategy Week 2025<\/em><\/p>\n\n\n\n

<\/div>\n\n\n\n


While the use of AI in hospitality still seems like a murky topic for some leaders, the panel \u201cAI in Action: Transforming Hospitality Workflows for Maximum Productivity,\u201d hosted by John Jimenez, VP of E-commerce & Revenue at Noble Investment Group, demonstrated that for those who have already incorporated AI into their workflows, the results are concrete and measurable, and not simply a fad or superficial automation.<\/p>\n\n\n\n

Responsible for more than 60 hotels in the US, Jimenez presented a very clear framework for how to intelligently apply AI in everyday operations, focusing not only on content generation but also on increasing productivity in critical functions such as Revenue Management, BI, and e-commerce.<\/p>\n\n\n\n

As he emphasized, "It's not about replacing people, but rather allowing teams to focus on what truly generates value, automating repetitive processes and gaining agility in decision-making."
In other words, AI doesn't replace equipment; it multiplies people's potential. As long as it's used in an integrated and strategic way.<\/p>\n\n\n\n

<\/div>\n\n\n\n

Key insights from the talk:<\/strong><\/p>\n\n\n\n

AI as a driver of operational productivity:<\/strong>
<\/strong> \u2022 Implementation of AI to eliminate rework and manual tasks, reducing analysis and reporting processes from 12 hours to 2 hours;
\u2022 Example: Cursor AI consolidating more than 45 reports into actionable dashboards for business leadership.<\/p>\n\n\n\n

Tools already in use:<\/strong>
<\/strong> \u2022 Perplexity AI<\/strong> \u2192 market analysis and competitive intelligence;
\u2022 ChatGPT \/ Claude<\/strong> \u2192 generation of reports and summaries for executives;
\u2022 AI for automated analysis of 5,700 guest reviews, converting feedback into investment plans and operational improvements.<\/p>\n\n\n\n

In addition to well-defined frameworks, the panel presented a practical example that caught attention: the use of Copilot integrated with Demand 360 (a demand platform developed by Amadeus).<\/p>\n\n\n\n

Note<\/em>Copilot is Microsoft's name for its "AI layer" built into Office tools and other platforms (such as Demand 360, Salesforce, Dynamics, etc.). Copilot is an AI that acts as a "digital assistant" within software.<\/p>\n\n\n\n

With AI connected directly to D360, Revenue Management teams can generate automated insights, pacing reports, and demand scenarios much more quickly, without the need to export spreadsheets or manually cross-reference data.<\/p>\n\n\n\n

The direct impact? Less time wasted on operational tasks and more focus on strategic pricing and channel mix decisions.
Tools like this demonstrate that AI, when properly integrated, is not just for marketing or content, but a true ally of the Revenue Manager to accelerate business intelligence.<\/p>\n\n\n\n

<\/div>\n\n\n\n
\"\"<\/figure>\n\n\n\n
<\/div>\n\n\n\n

Integration framework<\/strong> (logical and practical structure to know how and where AI should enter the processes and generate the greatest impact on your hotel):
\u2022 Automation of data analysis;
\u2022 Insights for capex and operations;
\u2022 Support for strategic pricing and distribution decision-making.<\/p>\n\n\n\n

<\/div>\n\n\n\n

How to train teams:<\/strong>
<\/strong> \u2022 Training in prompt engineering<\/strong> (teach the team to build smart questions and commands for the AI);
\u2022 Development of custom agents<\/strong> Task-specific AI (custom versions of AI, programmed for specific hotel tasks).<\/p>\n\n\n\n

The Latin American market is still in its early stages.
Today, very few hotels and groups in the country apply AI in an integrated way to revenue, e-commerce, and business intelligence. And this opens up a huge opportunity:
\u2022 Immediate productivity gains \u2014 essential in a scenario where our teams operate with increasingly reduced structures;
\u2022 Greater precision in decision-making, especially in dynamic pricing and investment allocation;
\u2022 Competitive advantage for those who manage to structure their data and train their teams before this becomes the new \u201cmarket minimum.\u201d<\/p>\n\n\n\n

AI applied to hospitality is no longer a futuristic topic.
It is already redesigning how we operate and, crucially, how we make decisions.<\/p>\n\n\n\n

The question that remains for our leaders in Latin America is:
Who will take the lead and transform AI into a real competitive advantage, and who will wait until it becomes just another mandatory cost?<\/p>","protected":false},"excerpt":{"rendered":"

Por Gabriela Otto, Presidenta HSMAI Brasil y Latam, directamente desde Indian\u00e1polis, EE.UU., en la HSMAI Commercial Strategy Week 2025 Mientras que el uso de la IA en la hospitalidad todav\u00eda parece un tema et\u00e9reo para algunos l\u00edderes, el panel \u201cAI in Action: Transforming Hospitality Workflows for Maximum Productivity\u201d, conducido por John Jimenez, VP de E-commerce […]<\/p>\n","protected":false},"author":4,"featured_media":5211,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[13,55],"tags":[11,38],"class_list":["post-5209","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-hoteleria","category-inteligencia-artificial","tag-hoteleria","tag-inteligencia-artificial"],"yoast_head":"\nIA en Acci\u00f3n: C\u00f3mo Transformar Flujos de Trabajo en la Hoteler\u00eda para una Productividad M\u00e1xima - 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