Personalized contextual coupon engine

This invention describes a computer system designed to offer personalized coupons at opportune moments. It works by analyzing signals from a user's device to detect specific "shopping events," such as dining at a restaurant, using details like location, time, and food type. The system then uses this information to generate tailored offers for goods or services the user intends to purchase.

Why it matters: Filed before advanced AI and large language models could easily interpret diverse user signals and generate complex contextual rules. Modern machine learning can now perform the core analysis and rule generation for specific shopping events much more effectively.

Status: Not in forceListed as no longer active.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

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