Innovation

📰 This spring, Grab, a Singapore-based superapp, launched travel-related services including GrabStays, Discover by Grab, GrabPay for Travel, and a Personalised Travel Experience layer. Despite not identifying as a travel company, Grab focuses on travelers as users. Their new "intelligence layer," a data and AI system, leverages insights from its transport, food delivery, grocery, and payments operations to enhance consumer experiences, as explained by Chief Product Officer Philipp Kandal.

💻 Martin and Josiah explored tech in this week's Hospitality Daily, highlighting foundational issues like data and APIs—important tools but not strategies. Similar to automotive evolution, hospitality must rethink architecture, not just layer new tech onto old processes. CitizenM exemplifies this with single room types, app-native check-in, and staff repositioned to support self-service. Their approach avoids unnecessary complexity and emphasizes strategic redesign, illustrating the power of "day one thinking.

💻 In an unexpected twist, a McDonald's customer-support chatbot, originally designed to answer questions about orders and deliveries, is being used by customers to learn Python. This highlights a fascinating aspect of software development: users often repurpose technology in unintended, creative ways. While developers can meticulously plan features and user journeys, products that adapt to user curiosity tend to thrive. The story underscores the unpredictable nature of technology usage and human creativity.

📈 U.S. travel sites saw a 194% increase in traffic from AI sources in May, based on Adobe's analysis of over 8 million visits. Visitors from AI sources spent 70% longer per visit, bounced 41% less often, and showed 21% more engagement compared to non-AI sources. Adobe's research highlights the effectiveness of AI in driving more engaged traffic, though a challenge remains in ensuring AI systems can adequately read and surface travel brands' sites.

📑 In 2015, a group including David and Daria created a chart depicting hotel technology vendors. This chart aimed to visualize how data moves through the hotel industry, with the PMS at its center. Despite having over a thousand PMS solutions globally, the chart highlighted integration points and dependencies in hospitality tech. The author is proud of the chart's evolution, noting that the role of research is to organize information for others to draw conclusions. Hotel tech continues to grow, influenced by data flow.

🤖 2026, HITEC conference highlighted AI’s role in hospitality. Ajay Aluri and Scot Campbell discussed Nylo, a socially intelligent robot, aiding in guest interactions and repetitive tasks. Examples include Oto at Otonomus Hotel, Tulse at Marriott Tulsa, and José at San José Airport. Collectively, they completed 371,135 guest interactions and 22,657 conversations, supporting 70+ languages. Emphasis is on experience amplification, not job replacement, balancing ROI and ROE.

📧 AI is transforming email marketing. Gmail's Gemini and Apple Mail's AI summaries now dictate email visibility and guest interaction. Inbox providers act as recommendation engines, prioritizing relevant, trusted content. Hotel marketers face competition from airlines, OTAs, and retailers for inbox space. Success hinges on relevance, trust, segmentation, and guest engagement. To thrive, focus on improving engagement signals, optimizing content for AI, and managing sender reputation. Adapt strategies for AI-driven inboxes to maintain visibility and maximize campaign performance.

📈 Classic Norway's 22 of 23 facilities utilize an automated forecasting function nightly. Since 2024, it has improved forecast accuracy across nearly all properties. The platform, implemented in under 60 days, slashed Excel usage by about 95%. It integrates forecasts for all departments, cutting forecast errors by half. Anders Johansson and Alexander Killi highlight the shift from reactive to proactive management, unifying team efforts with consistent data access.