Shopping with a Platform AI Assistant: Who Adopts, When in the Journey, and What For
📰 ArXiv cs.AI
This study examines how consumers adopt and use platform-embedded shopping AI in e-commerce, finding highest adoption among older, female, and highly engaged users
Action Steps
- Collect large-scale data on user interactions with AI assistants
- Analyze adoption patterns and demographics
- Identify key factors influencing adoption, such as age, gender, and engagement level
- Develop targeted strategies to improve AI assistant usability and appeal to diverse user groups
Who Needs to Know This
Data scientists and product managers on e-commerce platforms can benefit from understanding consumer behavior and preferences when interacting with AI assistants, to inform the development of more effective and user-friendly AI-powered shopping tools
Key Insight
💡 Demographic characteristics, such as age and gender, play a significant role in the adoption of AI-powered shopping assistants
Share This
🛍️ Who adopts AI shopping assistants? Older, female, and highly engaged users lead the way!
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