Virtual Shopping Parties for Personalized Product Discovery
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Solution Overview
Problem
In peer-to-peer e-commerce marketplaces, buyers face difficulties in identifying relevant items among diverse sellers, and sellers struggle to find interested buyers, as conventional systems rely on cold, objective metrics without considering social networking interactions.
Innovation Solution
The implementation of virtual shopping parties, where users can create themed events with specific items and invitees, allowing for personalized feeds based on compatibility and social connections, facilitating real-time product discovery and transactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional search systems are used to identify relevant items, then the system structure remains simple, but the relevance and personalization of item recommendations deteriorate due to reliance on cold objective metrics without social networking considerations
Solution Approach 1:
The patent introduces a virtual shopping party as an intermediary social structure that mediates between buyers and sellers. This virtual party serves as a mediator that organizes items, buyers, and sellers around a common theme or interest, enabling personalized recommendations while maintaining system manageability through the party framework
Solution Approach 2:
The patent segments the marketplace into multiple virtual shopping parties, each with its own theme, curators, and participant group. This segmentation allows the system to handle complexity by dividing the overall marketplace into smaller, theme-based communities, improving recommendation relevance within each segment while keeping the overall system structure organized
2Productivity
If themed virtual parties with curators are implemented, then item discovery and user engagement improve, but the ease of operation deteriorates due to the complexity of creating and managing virtual parties
Solution Approach 1:
The system enables self-service by allowing users to automatically create virtual shopping parties based on their browsing history, purchased items, or liked items. The curators are automatically assigned based on user expertise or interests, reducing the manual effort required to create and manage parties while maintaining high item discovery efficiency
Solution Approach 2:
The system performs preliminary actions by pre-configuring virtual parties with themes, curators, and initial item selections based on user data before the user needs to browse. This advance preparation reduces the operational complexity when users want to create or join parties, as much of the setup is already completed
3Productivity
If virtual shopping parties with specific time spans are organized, then transaction efficiency improves through focused shopping events, but the loss of time increases due to the temporary nature and need to join within specific windows
Solution Approach 1:
The system implements periodic virtual shopping parties that recur at regular intervals with the same theme and curators. This periodic action allows users to join parties at convenient times while still benefiting from focused shopping events, reducing time loss by providing multiple opportunities to participate in efficient transactions
Data Source
AI summary
Virtual shopping parties on a peer-to-peer marketplace are facilitated. A virtual party initiated is reserved by a user of the peer-to-peer marketplace. The virtual party comprises a specific set of items available to a specific set of users during a specific time span. A theme is set for the virtual shopping party dictating parameters for whether an item can be added to the virtual shopping party. The theme also dictates parameters for who can add an item to the virtual shopping party. Invitations are sent for the virtual shopping party to the specific set of users, based on the theme. A customized feed is then presented to each of the set of users that join the virtual shopping party.


