Cognitive Advertising System Using Weather Data
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Solution Overview
Problem
Traditional advertising methods fail to provide personalized and contextually relevant advertisements to consumers based on weather data, leading to ineffective marketing strategies and missed sales opportunities.
Innovation Solution
Implementing cognitive advertising systems that utilize weather data, combined with AI and machine learning technologies like IBM Watson, to select and modify digital advertisements in real-time based on a consumer's location, weather conditions, and preferences, offering personalized product or service recommendations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional advertising methods are used, then advertising delivery is simple and cost-effective, but advertising relevance and consumer engagement are low
Solution Approach 1:
The system pre-processes weather data, consumer preferences, and product information beforehand to create a ready-to-use advertising framework. When a consumer requests information, the system quickly retrieves and combines pre-processed data to generate relevant advertisements, avoiding real-time complex calculations while maintaining high relevance.
Solution Approach 2:
The patent introduces an intermediary processing system that acts as a mediator between weather data sources, consumer devices, and advertising content. This intermediary layer handles the complex data integration and advertisement generation, shielding end users from system complexity while delivering highly relevant ads based on weather conditions and consumer preferences.
2Productivity
If personalized advertising based on multiple data sources is implemented, then consumer engagement increases, but data processing complexity and time increase
Solution Approach 1:
The system performs preliminary processing of weather data, consumer preferences, and product catalogs before advertising requests arrive. By pre-organizing this data into structured formats and pre-establishing matching rules, the system can rapidly generate personalized advertisements without extensive real-time processing, thus maintaining high sales effectiveness while minimizing data processing time.
Solution Approach 2:
The patent implements a tiered approach where the system processes only the most critical data elements needed for immediate advertisement generation (such as current weather conditions and top consumer preferences), while less critical data processing occurs asynchronously or in subsequent updates. This partial processing strategy reduces immediate processing time while still delivering effective personalized ads.
3Adaptability or versatility
If real-time advertisement modification is performed, then advertising effectiveness improves, but system resource consumption increases
Solution Approach 1:
The system implements periodic updates of advertisement content based on changing weather conditions and consumer interactions, rather than continuous real-time modification. Advertisements are refreshed at appropriate intervals or triggered by specific weather threshold changes, maintaining advertising adaptability while avoiding excessive system resource consumption from constant updates.
Solution Approach 2:
The patent modifies only the necessary portions of advertisement content based on current weather conditions and consumer responses, rather than completely regenerating entire advertisements. This selective modification approach maintains advertising effectiveness by updating only relevant elements (such as product recommendations or promotional offers) while minimizing overall system energy consumption.
Data Source
AI summary
Aspects of the invention include receiving, at a processing system, weather data that is associated with a target consumer. Content of a digital advertisement for a vendor is selected based at least in part on the weather data that is associated with the target consumer, and information about an item or a service provided by the vendor. The digital advertisement, including the content, is transmitted for presentation to the target consumer via a user interface. A response to the digital advertisement is received from the target consumer. The content of the digital advertisement is modified based at least in part on the response to the digital advertisement from the target consumer. The digital advertisement, including the modified content, is transmitted for presentation to the target consumer via the user interface.