Voice Assistant Contextual Service System
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Solution Overview
Problem
Consumers face a lack of continuity and relevance in their shopping experiences across online and offline platforms, with existing technologies failing to integrate in-store and online interactions effectively, leading to irrelevant product promotions and search results.
Innovation Solution
A system that authenticates user credentials via voice input, provides contextual information to merchants, and transmits personalized offers based on user data, allowing seamless interaction across platforms and locations, using BLE beacons and voice personal assistants to enhance user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If cookies are used to promote products from previously visited websites, then product promotion capability is improved, but integration with in-store experiences and consumer control are lost
Solution Approach 1:
The patent introduces a centralized server as an intermediary that receives contextual information from multiple sources (website visits, in-store visits, mobile device data) and processes it to generate personalized offers. This mediator integrates data across online and offline platforms, solving the fragmentation problem while maintaining consumer control through opt-in mechanisms and selective data sharing.
Solution Approach 2:
The system creates a universal offer delivery mechanism that works across multiple platforms (websites, mobile devices, physical stores) using a single coordinated approach. The server can deliver offers to any platform the consumer uses, making the system adaptable to various contexts while maintaining consistent personalization.
2Adaptability or versatility
If consumer data is collected across multiple platforms, then contextual personalization is improved, but system complexity and privacy concerns increase
Solution Approach 1:
The centralized server acts as a simplifying intermediary that consolidates complex data integration logic in one location. Rather than requiring complex point-to-point integrations between multiple platforms, all data flows to the server which processes it centrally, reducing overall system complexity while enabling comprehensive personalization.
Solution Approach 2:
The system implements consumer-controlled data sharing where users actively opt-in to share specific contextual information with merchants. This self-service approach simplifies the system by only collecting data that consumers explicitly authorize, reducing the complexity of managing unauthorized or unwanted data while still enabling personalization.
3Measurement precision
If contextual information is shared with merchants, then offer personalization is improved, but consumer control and transparency are reduced
Solution Approach 1:
The system provides consumers with feedback mechanisms including the ability to view what contextual information has been shared, which merchants have received it, and what offers have been generated. Consumers can modify their preferences and revoke consent at any time, creating a feedback loop that maintains control while enabling personalization.
Solution Approach 2:
The server acts as a transparent intermediary that clearly delineates what data is shared with which merchants and for what purposes. Rather than direct data access by merchants, the server mediates all data sharing through controlled APIs and protocols, providing consumers with visibility and control over their information while enabling precise targeting.
Data Source
AI summary
A system may store a first merchant identifier in response to a registration of a first merchant and a user identifier in response to a registration of a user. The system may also store an access permission to control access by the first merchant to a first context. The access permission may be configured for retrieval by a query including at least one of the user identifier or the first merchant identifier. A user may access the system using a voice personal assistant. The system may authenticate the user based on spoken input to the voice personal assistant. The system may return the first context in response to a first application programming interface (API) call and in response to the access permission authorizing access to the first context. The system may facilitate transactions using a voice personal assistant.