User Specific Data Provision System for Merchant Inventory Matching
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Solution Overview
Problem
Existing systems face challenges in presenting user-specific data, such as product availability and recommendations, to consumers due to the volume and arrangement of data from multiple sources like transaction data and real-time inventory data, making it difficult to provide relevant information to users about their preferred items at frequented merchants.
Innovation Solution
A system comprising a computer processor and data storage device with modules for determining user frequented merchants, identifying user preference items, looking up inventory data, analyzing merchant information, and communicating user-specific data to devices, which includes modules for analyzing transaction data, image recognition, and generating user alerts or recommendations based on item availability and pricing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If detailed inventory data from multiple sources is collected to provide comprehensive product information, then the completeness and accuracy of product information is improved, but the difficulty of presenting this data to consumers increases
Solution Approach 1:
The patent segments the complex inventory data from multiple sources into distinct categories (transaction data, real-time inventory data, near real-time inventory data) and processes each segment through dedicated modules. The user frequented merchant determination module, user preference item determination module, and merchant inventory data look up module each handle specific data segments, making the overall system more manageable despite the volume of information.
Solution Approach 2:
The patent introduces an intermediary processing layer that sits between the raw inventory data sources and the consumer interface. This intermediary layer includes modules that aggregate, filter, and format data from multiple sources into a unified structure that can be easily presented to consumers, thereby reducing the complexity of data presentation while maintaining information completeness.
2Adaptability or versatility
If user data is analyzed to determine frequented merchants and preference items, then the personalization of user information is improved, but the processing time and computational resources increase
Solution Approach 1:
The patent performs preliminary analysis of user data to determine frequented merchants and preference items in advance, before a consumer needs specific product information. By pre-processing user transaction data and establishing user profiles with frequented merchants and preferred items, the system reduces the computational burden and processing time when a consumer actually queries for product availability information.
Solution Approach 2:
The system enables self-service by automatically analyzing user transaction data and maintaining updated profiles of frequented merchants and preference items without requiring manual input from consumers. This automated self-service approach allows continuous personalization while minimizing the time and resources needed at the point of query.
3Measurement precision
If real-time inventory data is integrated with transaction data to provide up-to-date product availability, then the accuracy of product availability information is improved, but the system complexity and data integration challenges increase
Solution Approach 1:
The patent merges real-time inventory data and near real-time inventory data with transaction data into a unified data structure. By combining these different data sources through the merchant inventory data look up module and user specific merchant information determination module, the system achieves accurate product availability information while managing system complexity through integrated processing.
Solution Approach 2:
The patent creates a universal data processing framework that handles multiple data types (transaction data, real-time inventory data, near real-time inventory data) through a common architecture. The user specific data provision server performs multiple functions including data aggregation, filtering, matching, and presentation, reducing overall system complexity by using a multi-functional platform rather than separate specialized systems.
Data Source
AI summary
An apparatus for providing user specific data to a user includes a computer processor and a data storage device, the data storage device comprising instructions operative by the processor to: analyze user data associated with the user to determine a set of user frequented merchants for the user, each user frequented merchant having an associated merchant identifier; analyze the user data associated with the user to determine a set of user preference items for the user; look up inventory data for each merchant in the set of user frequented merchants, using the merchant identifier, and determine user specific merchant information from the inventory data, the user specific merchant information comprising information for each of the user preference items at that merchant; analyze the user specific merchant information for each of the merchants to determine a user recommendation indication; and transmit the user recommendation indication to a device associated with the user.