Methods and apparatus for enhanced product recommendations

This invention describes a system for creating personalized subscription boxes. It gathers a subscriber's information, including biometric data from their workouts and related social media posts, along with feedback from a human stylist or the system itself. A recommendation engine uses this data to suggest products, and then a curator (either human or the engine) selects items for regular delivery in a subscription box. The system continuously refines its recommendations based on ongoing activity and feedback.

Why it matters: Filed before large language models significantly advanced the ability to process and correlate diverse data sources like social media posts and biometric data. The claims' emphasis on integrating these specific inputs for tailored recommendations is now far more achievable and powerful with current machine learning capabilities.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, data integration, recommendation algorithms.

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