Innovation

4503 posts

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Perfect hotel welcome messages for a memorable first impression

🏨 Kabannas Hotels automated 92% of guest questions, leading to enhanced in-person interactions. Staff shortages and evolving guest expectations in the hospitality industry are being addressed by automation, such as HiJiffy's tools, which save hotel employees time by handling routine communications. Consistency in messaging with conversational AI upholds brand identity, while welcome messages offer upsell opportunities for room upgrades and additional services. Proactive satisfaction surveys during a guest’s stay help address concerns early. Lake District Hotels saw a 70% reduction in calls through automated pre-arrival messages. Hotel Sacher achieved a 96% automation rate, Sweet Accommodations saw a 30% increase in online check-ins, and Macdonald Hotels & Resorts automated all guest communication online, with satisfaction scores over 80%. HiJiffy's Guest Communications Hub provides hotels with efficient, personalized messaging to improve guest satisfaction and staff focus.
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Booking.com launches AI-powered tool for hoteliers

📱 The AI Tech Stack Advisor tool, launched on Dec 2, 2024, provides personalized tech assessments for hoteliers, leveraging HotelTechReport's database. It recommends channel managers, revenue systems, upselling, and CRM platforms, offering a "Digital Transformation Score" for benchmarking and progress tracking. The tool benefits Booking.com's connectivity partners by connecting them with hotels seeking to improve their technology. Read more at yahoo!finance.
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  • 6 min

Improving hotel online reputation: Key metrics, challenges, and practical strategies

🛃 95% of travelers prefer online reviews over ads, making hotel online reputation essential for higher bookings. Key metrics like Customer Satisfaction (CSAT) and Net Promoter Score (NPS), obtained from review platforms such as TripAdvisor and Google, are critical for reputation management. CSAT reflects guest experience, while NPS indicates guest loyalty. Sentiment analysis on reviews helps identify and address guest issues. Effective reputation management involves monitoring, responding to, and analyzing reviews across multiple platforms. HiJiffy offers tools like Console, AI Booking Assistant, and AI Virtual Concierge to streamline communication and improve guest experiences, thereby enhancing a hotel's online reputation.
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  • 1 min

5 ways travelers are using GenAI

📈 Among digital travelers, 39% have used GenAI for any purpose, as found by Phocuswright’s report "Travelers and Tech 2024: GenAI, VR and More". Users of advanced technology, who travel more often, tend to be younger and have higher household incomes, are leveraging GenAI in the travel process. Phocuswright provides a comprehensive consumer research study, with the first report focusing on general attitudes and usage, and subsequent reports delving into specific tools and tech. Their Open Access research subscription offers company-wide access to expert-driven reports and data.
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  • 5 min

The Importance of Online Reputation Management for Hotels

📝 90% of travelers read reviews before booking, averaging 10-12 reviews on various platforms. Online reputation management for hotels is crucial, as it impacts bookings and revenue. One point rating increase allows up to 4-5% price elevation. Effective management includes prompt feedback collection, professional review responses, using reputation management tools, staff training, social media monitoring, and service improvement based on reviews. Hotelogix software automates feedback collection, centralizes review management, monitors reputation, and provides actionable insights, enhancing OTA visibility and bookings.
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  • 3 min

Explained: How our solution leverages behaviour analysis

📊 HiJiffy's AI, Aplysia, utilizes behavior analysis to enhance communication with users. It includes Tone Classification, which interprets the user's communication style and FAQs Insights, providing feedback-based improvements. The system categorizes sentences into declarative, interrogative, imperative, and exclamatory, focusing on identifying user requests and questions. Using vector embeddings and in-house models, Aplysia accurately classifies sentences to better understand user intent. User feedback directs hoteliers to the most critical informational deficits, improving guest satisfaction. This approach is aimed at refining HiJiffy's chatbot responses and service quality.
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  • 3 min

Explained: How our solution leverages behaviour analysis

📊 HiJiffy's AI, Aplysia, uses behavior analysis to enhance communication by categorizing user tones, identifying sentence types, and using vector embeddings to understand intent. Sentence categories include declarative, interrogative, imperative, and exclamatory. Chatbot feedback, both positive (????) and negative (????), is used to improve responses, with negative feedback helping to update FAQs and prevent similar issues. The article features technical insights from Eduardo Machado and Vanda Azevedo of HiJiffy’s AI Team.
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