AI-Driven Lobby Music Curation Workflow for Enhanced Guest Experience

AI-Generated Lobby Music Curation

1. Define Objectives

1.1 Identify Target Audience

Determine the demographic and psychographic characteristics of the guests.

1.2 Establish Mood and Atmosphere

Define the desired ambiance based on the hotel’s theme and brand identity.

2. Data Collection

2.1 Gather Music Preferences

Utilize surveys or feedback forms to collect guest music preferences.

2.2 Analyze Existing Music Libraries

Review current music selections and their performance metrics.

3. AI Tool Selection

3.1 Choose AI Music Generation Tools

Select tools that can generate or curate music based on the defined objectives. Examples include:

• Aiva: An AI composer that creates unique soundtracks.
• Amper Music: A platform for generating royalty-free music tailored to specific moods.
• Soundraw: AI-driven music creation tool that allows customization based on user inputs.

3.2 Implement Music Analytics Tools

Utilize tools like Spotify for Artists or SoundCloud Insights to analyze listener engagement and preferences.

4. Music Curation Process

4.1 Generate Music Playlists

Use selected AI tools to create playlists that align with the identified objectives.

4.2 Review and Refine Playlists

Gather feedback from staff and select guests to refine the playlists further.

5. Implementation

5.1 Deploy Music in Lobby

Integrate playlists into the hotel’s audio system, ensuring high-quality sound output.

5.2 Monitor Guest Reactions

Observe guest interactions and feedback regarding the music ambiance.

6. Continuous Improvement

6.1 Collect Ongoing Feedback

Regularly solicit guest feedback through surveys and comment cards.

6.2 Update Music Playlists

Utilize AI tools to refresh and update playlists based on seasonal trends and guest preferences.

6.3 Analyze Performance Metrics

Review analytics from music platforms to assess the impact of music on guest satisfaction and engagement.