Social Network Inventory Management with Automated Access Categories
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Solution Overview
Problem
Existing inventory management systems require multiple listings for products with different transaction terms, leading to resource consumption and increased costs due to manual relationship determinations and multiple listing fees.
Innovation Solution
Implementing a social network-based inventory management system that allows users to define access categories based on relationship criteria, automatically determining which users qualify for specific transaction terms and product listings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple listings are created for products with different transaction terms, then different transaction terms can be offered to different user groups, but resource consumption and costs increase due to manual relationship determinations and multiple listing fees
Solution Approach 1:
The patent applies universality by creating a single product listing that serves multiple functions: it automatically adapts to display different transaction terms based on the buyer's relationship with the seller. The listing system universally handles various user groups (friends, family, acquaintances, strangers) through one unified mechanism rather than requiring separate listings for each group, thereby reducing resource consumption while maintaining adaptability
Solution Approach 2:
The system implements self-service by automatically determining the buyer-seller relationship and selecting appropriate transaction terms without manual intervention. The automated relationship determination system eliminates the need for sellers to manually assess each buyer's relationship status and configure different listings, allowing the system to serve itself in managing diverse transaction terms
2Adaptability or versatility
If multiple listings are created for products with different transaction terms, then different user groups can access different terms, but the process requires manual relationship determinations which increases complexity
Solution Approach 1:
The patent replaces the manual mechanical process of relationship determination with an automated electronic system. Instead of sellers manually evaluating and categorizing each buyer's relationship status, the system automatically determines relationships using electronic data from social networks and predefined criteria, thereby reducing process complexity while maintaining adaptability across different user groups
Solution Approach 2:
The system introduces an intermediary automated relationship determination mechanism that mediates between the seller's product listing and the buyer's profile. This intermediary automatically assesses relationship criteria and determines appropriate access categories, eliminating the need for direct manual interaction and simplifying the overall process complexity
3Adaptability or versatility
If multiple listings are created for products with different transaction terms, then specific groups can be targeted, but listing fees and operational costs increase
Solution Approach 1:
The patent merges multiple separate listings into a single unified listing that automatically adapts to different user groups. By combining what would traditionally require multiple distinct listings into one, the system eliminates redundant listing fees while maintaining the capability to target specific groups with appropriate transaction terms, thereby reducing costs without sacrificing adaptability
Data Source
AI summary
An example embodiment includes a system server configured for social network-based inventory management. The system server includes processors and non-transitory computer-readable storage media communicatively coupled to the processors. The media store instructions that, in response to execution by the processors, cause the processors to perform operations. The operations include receiving category specifications and access category definitions for access categories. The access category definitions include relationship criteria for the access categories. The operations include identifying a relationship between a second user and a first user, comparing an identified relationship with the relationship criteria, and determining which of the access categories the second user is included based on the comparison. In response to a received product request for a product offered by the first user, the operations include providing a product listing to the second user that is consistent with the category specification of the access category of the second user.


