Tailored Content Delivery via Service Dialogs and Consumer Profiles
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Solution Overview
Problem
Merchants often have an incomplete picture of their customers' preferences and interests due to limited data across various products and services, leading to inefficiencies in providing tailored recommendations, which can burden consumers with extensive search times.
Innovation Solution
A system that identifies and delivers tailored content based on a consumer profile, facilitating service dialogs to gather information and communicate relevant content, including payment processing, and updates profiles based on user selections, reducing the need for consumers to actively search for products or services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If merchants collect and analyze purchasing information from multiple sources, then the completeness of customer preference data improves, but the system complexity and data integration difficulty increase
Solution Approach 1:
The patent combines data from multiple merchants and sources into a unified consumer profile system. The system merges purchasing information, service dialog data, and consumer preferences across different merchants to create a comprehensive view of customer preferences, resolving the contradiction by integrating dispersed information into a cohesive data structure.
Solution Approach 2:
The patent introduces an intermediary processing system that acts as a mediator between multiple merchants and the consumer profile database. This intermediary layer collects, standardizes, and integrates data from various sources without requiring direct complex connections between all merchants, thereby reducing system complexity while maintaining data completeness.
2Productivity
If the system provides personalized recommendations, then consumer shopping efficiency improves, but the requirement for accurate consumer profile data increases
Solution Approach 1:
The patent implements feedback mechanisms where consumer interactions with recommendations, service dialogs, and purchasing behaviors continuously update and refine the consumer profile. This feedback loop improves profile accuracy over time, enabling better personalized recommendations while maintaining shopping efficiency.
Solution Approach 2:
The system performs preliminary data collection and profile creation before the consumer makes purchasing decisions. By gathering service dialog information, preferences, and behavioral data in advance, the system prepares accurate consumer profiles that enable immediate personalized recommendations, improving both accuracy and efficiency.
3Ease of operation
If consumers actively search for products and services, then they can find what they need, but their time expenditure increases
Solution Approach 1:
The patent enables the system to automatically serve consumers by proactively delivering personalized content and recommendations based on their profiles. Instead of consumers actively searching, the system self-services by identifying and presenting relevant products and information, dramatically reducing search time while maintaining ease of access to needed information.
Solution Approach 2:
The system performs preliminary analysis of consumer profiles and prepares personalized recommendations before consumers need them. By pre-processing data and identifying relevant content in advance, the system eliminates the need for active searching, delivering tailored information ready for immediate consumption.
Data Source
AI summary
The present disclosure identifies and/or delivers tailored content based upon a service dialog. For example, the systems may receive a request for tailored content, facilitate a service dialog to obtain information related to the request, and communicate a plurality of tailored content based upon the information related to the request. Further, the systems may identify tailored content based upon a consumer profile, communicate the tailored content to a web client, and/or receive a selection of the tailored content. Further still, the systems may modify a magazine (e.g., content that is presented electronically) based upon tailored content.