Observation Platform Moderating External System Queries via Context
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Solution Overview
Problem
Retailers face challenges in managing and training associates, providing customer satisfaction, and maintaining brand awareness in a competitive environment, especially with the rise of online shopping.
Innovation Solution
The Observation Platform provides a structured communication system that connects people, groups, machines, IoT devices, and external computer systems, enabling efficient communication and data management within retail settings and beyond.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If action requests are moderated using context, policy, status, and device information, then communication reliability and brand awareness are improved, but system complexity and processing time increase
Solution Approach 1:
The moderation system is divided into separate modular components: context information module, policy information module, status information module, and device information module. Each module independently processes specific aspects of action requests, allowing the system to maintain high reliability through comprehensive checking while managing complexity through functional separation and independent deployment of moderation components.
Solution Approach 2:
The computer system acts as an intermediary between users and external systems, intercepting and moderating action requests before they reach target systems. This intermediary layer applies context, policy, status, and device information to filter and control communications, ensuring reliability while centralizing complexity management in a dedicated moderation component.
2Measurement precision
If comprehensive context information is collected and analyzed, then communication precision and customer service quality improve, but processing time and system resource consumption increase
Solution Approach 1:
Context information, policy information, status information, and device information are collected and prepared in advance before action requests are submitted. This preliminary preparation ensures that when requests are moderated, the system can quickly make precise decisions without time-consuming analysis, thereby improving communication precision while minimizing processing delays.
Solution Approach 2:
The system automatically collects, analyzes, and applies context information without requiring manual intervention. The moderation process is self-serving, where the computer system autonomously evaluates action requests against stored context, policy, status, and device information, reducing processing time while maintaining high communication precision through automated decision-making.
Data Source
AI summary
In a method of moderating action requests and structured communications using context, responsive to a request interaction, a computer system sets up an action request regarding a structured communication in an observation platform. The action request is a query. The computer system analyzes the query with respect to context in the observation platform. The context is one of user context in the observation platform and device context in the observation platform. The computer system analyzes the query with respect to status in the observation platform. The status is one of user status in the observation platform and device status in the observation platform. The computer system moderates interactions with an external system with respect to the structured communication based on results of the context and status analyses, wherein the external system is external to the observation platform.