Travel Weekly Group Ltd

🚀 Just 10% of travel buyers currently trust AI for booking support, with only 10% using AI for dynamic pricing insights, and 30% planning to adopt it within 12 months. 25% want AI to automate tasks, while 23% seek real-time travel updates. Steve Clagg emphasizes AI's role in reducing manual work and improving efficiency. The inaugural Business Travel Show America is set for 15-16 October at Javits Center, New York, featuring over 100 exhibitors.

📱 London’s The Ned saw a 16% revenue boost in Q1 after launching a new IRIS mobile ordering app. Set in the former Midlands Bank building, the app allows guests to order room service via QR codes, cutting wait times by up to 10 minutes and improving order accuracy to nearly 100%. Orders are primarily app-based, easing pressure on staff. The venue, designed by Sir Edwin Lutyens in 1924, features 12 restaurants, 17 bars, and 250 rooms.

📈 SAS company IDeaS partners with Brown Hotels to implement the G3 Revenue Management System (RMS) across properties in Israel, Greece, Cyprus, and Croatia. Since deployment, Brown Hotels reports improved forecast accuracy and room optimization, with a significant revenue uplift. The implementation process included online training and live virtual sessions, aiding in a smooth transition. The system allows Brown Hotels to base rates on demand forecasts, enhancing operational efficiency and strategic decision-making.

📱 Apaleo launches the Model Context Protocol (MCP) Server in 2025, transforming AI agent deployment in hospitality. The MCP Server standardizes AI interactions across hotel systems, reducing custom coding and enabling faster automation. Apaleo collaborates with hoteliers like citizenM, which has 37 hotels globally, to co-create AI solutions. The initiative promises improved scalability and operational efficiency. The MCP Server follows Apaleo's earlier launch of the Agent Hub, marking a significant innovation in hospitality tech.

🚢 A-ROSA River Cruises, in partnership with German tech company Alyza, implemented AI in customer service. By mid-September 2025, AI analyzed 22,000 calls, reducing avoidable service calls by 45% and boosting booking completions by 89%. Calls averaged five minutes each. AI offers real-time metrics, improves booking efficiency, and enhances conversion rates. A-ROSA aims to reduce unnecessary customer contacts, allowing staff more time for personalized consultations, improving customer relations with practical coaching and tailored call center training.