AI Integrated Virtual Reality Hotel Room Preview Workflow

Virtual Reality Hotel Room Previewer Workflow

1. Initial Client Engagement

1.1. Inquiry Submission

Clients submit inquiries through the hotel’s website or mobile app, expressing interest in virtual reality previews of hotel rooms.

1.2. AI Chatbot Interaction

An AI-driven chatbot, such as LivePerson, engages with clients to gather information about their preferences, budget, and travel dates.

2. Data Collection and Analysis

2.1. User Preferences Assessment

The AI system analyzes user data, utilizing tools like Google Analytics and IBM Watson, to identify trends and preferences in hotel room selections.

2.2. Room Availability Check

Integrate with property management systems (PMS) like Cloudbeds to check real-time room availability based on client preferences.

3. Virtual Reality Content Creation

3.1. 3D Model Generation

Utilize software such as SketchUp and Unity to create detailed 3D models of hotel rooms.

3.2. VR Environment Setup

Develop immersive VR environments using platforms like Oculus or HTC Vive to allow clients to experience the hotel room virtually.

4. Preview Scheduling

4.1. AI-Powered Calendar Integration

Use AI tools like Calendly to allow clients to schedule VR preview sessions at their convenience.

4.2. Confirmation and Reminder Notifications

Automate confirmation emails and reminder notifications through an AI-driven email marketing tool like Mailchimp.

5. Virtual Reality Preview Session

5.1. Client Experience

Clients participate in the VR preview session, guided by an AI assistant that provides information about room features and amenities.

5.2. Feedback Collection

Post-preview, utilize AI sentiment analysis tools such as MonkeyLearn to gather and analyze client feedback on their experience.

6. Follow-Up and Conversion

6.1. Personalized Offers

Based on client feedback and preferences, AI tools can generate personalized offers and packages to encourage bookings.

6.2. Booking Facilitation

Integrate with booking engines like Booking.com or Expedia to facilitate seamless reservations directly from the preview session.

7. Continuous Improvement

7.1. Data Analytics Review

Regularly analyze data collected from VR sessions and client interactions to refine the virtual reality offerings and improve user experience.

7.2. AI Model Training

Utilize machine learning techniques to continuously train the AI models based on feedback and booking trends to enhance future client interactions.