Systems and methods for providing customer insights

This invention describes a computer system that analyzes a user's past activities, like purchases and engagement, to understand their preferences. It identifies different product categories relevant to the user and, for each category, pinpoints specific features or attributes the user might like. The system then combines these preferences to suggest specific product features within a category, but only if the user has a significant transaction history.

Why it matters: Filed before the widespread adoption of advanced generative AI and large language models. These tools can now significantly enhance the interpretation of diverse user data and the generation of nuanced product insights, making the scoring and attribute identification more sophisticated and scalable than in 2021.

Status: Not in forceListed as no longer active.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 processing, machine learning

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