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LodgIQ Brings Explainable AI-Driven Revenue Management to Power Portuguese Hospitality Growth at BTL 2026

  • 10minhotel
  • 12 February 2026
  • 3 minute read
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Revenue Management Solution highlights growing footprint in Portugal and invites hoteliers to explore explainable AI at Better Tourism Lisbon Travel Market

SILICON VALLEY, CA – LodgIQ will showcase its latest innovation, AI Wizard, at BTL – Better Tourism Lisbon Travel Market, taking place February 25 – March 1, 2026, at FIL Building, Parque das Nações, Lisbon, Portugal, where LodgIQ will be exhibiting at Pavillon 3F11. As the company continues to expand its presence in Portugal, LodgIQ is using the region’s leading travel trade event to demonstrate how applied, explainable AI is helping hotel revenue teams move from analysis-heavy workflows to focused, commercially driven decision-making.

LodgIQ currently supports leading Portuguese hospitality groups including AP Hotels & Resorts Group, Quinta da Amendoeira, Convento do Espinheiro, Historic Hotel & Spa, and Flamingos Salgados, providing advanced revenue management solutions tailored to both single properties and multi-property portfolios. Its participation at BTL underscores the company’s commitment to the Iberian market and to helping local operators navigate increasing market complexity.

At the center of LodgIQ’s presence will be AI Wizard, the new generative companion integrated into its revenue intelligence platform. Designed for revenue teams managing performance across dynamic and competitive markets, AI Wizard combines advanced analytics with generative AI to interpret market, property, and competitive data. It not only identifies performance shifts but clearly explains why they are happening and what actions matter most.

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“Revenue leaders today are not looking for more dashboards; they are looking for clarity,” said Vincent Ramelli, CEO of LodgIQ. “AI Wizard acts as a commercial co-pilot. It translates complex data into clear, prioritized actions, enabling teams to move faster and make confident decisions grounded in explainable AI.”

Rather than adding another layer of reporting, AI Wizard cuts through data noise and accelerates insight-to-action workflows. For independent hotel owners and multi-property groups alike, the tool is built to support commercial alignment across revenue, sales, and operations by turning granular analytics into practical recommendations.

With adoption already gaining traction globally, LodgIQ is inviting revenue leaders, asset managers, and hotel owners attending BTL to continue the conversation around how applied AI can strengthen commercial performance while maintaining transparency and control. Live demonstrations will be available throughout the event.

As Portugal continues to attract strong international demand and investment, technology that enables proactive, data-backed revenue strategies is becoming increasingly critical. LodgIQ’s growing local client base reflects the demand for intelligent systems capable of supporting both historic properties and modern resort portfolios in competitive leisure and mixed-demand markets.

➡️ Meet us at BTL 2026, FIL Building, Pavillon 3F11

About LodgIQ™

LodgIQ™ is the hospitality industry’s most advanced revenue platform, uniquely fusing a potent Revenue Management Solution (RMS), deep Business Intelligence (BI), and sophisticated AI into one unified system. Designed to move beyond legacy tools that require manual adjustment of hundreds of rules and restrictions, LodgIQ is architected to let the computer do the heavy lifting. The platform focuses on your desired results, with our AI suggesting the optimal path for you to simply approve. This power is accessible anywhere via a world-class mobile app that empowers revenue teams to evolve into commercial strategists, giving them the freedom to investigate data, approve changes, and manage total revenue from the palm of their hand. Headquartered in Silicon Valley, LodgIQ represents the future of frictionless, result-driven revenue management. For more information visit lodgiq.com.

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