Unified Visitor Data Pre-Push for Real-Time Privacy Compliance
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Solution Overview
Problem
In-store electronic device experience management systems fail to comply with data protection and privacy laws, such as GDPR and CCPA, and suffer from latency issues when dynamically configuring user interactions in real-time according to user permissions, leading to unacceptable delays in responsiveness and data retrieval.
Innovation Solution
A real-time digital device interaction control system that generates user interactions by configuring a unified visitor structured data file with user-specified settings, prepopulating and publishing it to a live database for immediate access, allowing sensors to determine what data to record in real-time without querying a remote server, thus reducing latency and ensuring privacy compliance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the system queries a remote server to retrieve user profile data and display rules in real-time, then data privacy compliance is achieved, but system latency increases and responsiveness deteriorates
Solution Approach 1:
The system performs preliminary actions by obtaining user consent and retrieving display rules from the server before the customer actually visits the store. This pre-fetching of data ensures that when the customer arrives, all necessary permissions and configuration rules are already cached locally, eliminating real-time server query latency while maintaining GDPR/CCPA compliance through pre-validated user consent records
2Measurement precision
If the system retrieves display rules and user profile data from a remote server, then data accuracy and privacy compliance are ensured, but network latency affects real-time responsiveness
Solution Approach 1:
The system retrieves and validates user profile data and display rules from the remote server in advance, before the customer interaction occurs. This preliminary data fetch ensures data accuracy is verified against the server's authoritative records while the actual customer experience runs on cached data, achieving both accuracy and speed
Solution Approach 2:
The system introduces a local cache or intermediary storage layer between the remote server and the real-time display system. This intermediary holds pre-fetched user data and display rules, allowing the real-time system to query local storage instead of the remote server, thus maintaining data accuracy through the intermediary's validated copies while dramatically improving retrieval speed
3Measurement precision
If facial recognition and customer identification are performed in real-time with server queries, then customer identification accuracy is achieved, but the computational latency becomes unacceptable
Solution Approach 1:
The system performs customer identification through facial recognition or other methods before the customer enters the store or approaches the display. The identified customer's profile data is then pre-fetched and cached locally. When the customer interacts with the display, the system already has their identity confirmed and data ready, achieving high identification accuracy without real-time server query latency
Data Source
AI summary
A real-time digital device user interaction control system generates user interactions in substantial real-time in accordance with user-specified attribute settings. A server, in operable communication with an electronic device experience management subsystem, generates a unified visitor structured data file comprising configured privacy setting attributes and pre-pushes the unified visitor structured data to the electronic device experience management subsystem. The electronic device experience management subsystem is then able to generate digital experiences in accordance with the configured attributes in substantial real-time without adverse network latency effects by not having to query the server. The structured data file may also be pushed to sensors to control the data capture thereof.
