Automated Personalization Study
Inspiring guest services via machine learning
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Questions Answered (and many more…)
- How can machine learning (ML) trigger relevant responses for individual guests and target groups?
- How can intent-based technology help to increase conversion?
- Does personalized pricing yield better vs. target segment pricing?
- Which technologies (tools/integrations) are required, and which skill sets?
- What are the new, trust-building factors for guests in a post-pandemic world and how can ML help?
- What are the most important use cases/services, where ML can assist the process?
- How can hotels optimize data collection (avoiding data silos) and effectively manage automation?
- Can new technology be rolled out fast, and how are the integration levels with existing infrastructure?
- What is the potential of operational cost savings via ML including areas of highest impact?
- Detailed insights on market specifics, hotel chain needs and industry viewpoints
- Identification of typical personalization and machine learning operational and other challenges including ideas to overcome these deficiencies
- Description of today’s strategic issues
- Recognition of innovative and upcoming solutions
- List of actionable tasks for serving general, key market requirements
- Strategic implications by region
- Extensive promotional activities
Contact Michaela for more details at firstname.lastname@example.org