Customizable Communication Path Metrics Using External Goal Data
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Solution Overview
Problem
Existing systems for determining the success of communication process flows in cloud platforms are inefficient and inaccurate, as they rely on user engagement metrics that fail to account for broader goals, leading to unreliable path success determinations.
Innovation Solution
Implementing AI/ML models to analyze data from external data platforms and generate automation events, allowing for dynamic traffic allocation based on the satisfaction of predefined goals, thereby enhancing the accuracy of path success determination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If user engagement metrics are used to determine path success, then the system is simple to operate, but the measurement precision is insufficient
Solution Approach 1:
The patent introduces AI/ML models as intermediary components that process raw user engagement metrics and transform them into accurate path success determinations. These models act as mediators between the simple data collection mechanism and the complex analysis requirement, enabling precise measurements without directly complicating the underlying system architecture.
Solution Approach 2:
The patent replaces traditional rule-based or simple threshold-based path success determination mechanisms with AI/ML-based intelligent systems. This substitution allows the system to achieve high measurement precision by using learned patterns from data rather than rigid mechanical rules, thereby resolving the contradiction between accuracy and complexity.
2Measurement precision
If AI/ML models are implemented to analyze external data, then the measurement precision improves, but the device complexity increases
Solution Approach 1:
The patent designs the AI/ML model framework to serve multiple functions: analyzing user engagement metrics, evaluating path success, generating insights, and supporting decision-making. This multi-functionality reduces the need for separate specialized systems, thereby limiting the increase in overall system complexity while maintaining high measurement precision.
Solution Approach 2:
The AI/ML models are configured to automatically ingest data from external platforms, perform analysis, and generate results without requiring manual intervention for each analysis task. This self-service capability reduces operational complexity and automates the complex processes, allowing the system to maintain precision while managing complexity through automation rather than manual procedures.
3Reliability
If traditional user engagement metrics are used, then the ease of operation is maintained, but the reliability of path success determination deteriorates
Solution Approach 1:
The system implements automated AI/ML-based analysis that performs complex evaluations without requiring users to manually configure or interpret metrics. The system self-manages the complex determination processes, maintaining ease of operation for users while significantly improving reliability through intelligent analysis.
Solution Approach 2:
The patent incorporates feedback mechanisms where AI/ML models continuously learn from outcomes and refine their path success determinations. This feedback loop improves reliability over time by adapting to actual results, while the automated nature of the feedback process maintains operational simplicity for users.
Data Source
AI summary
A computing device of a data processing system may receive an indication of a creation of a communication process flow object that includes a set of paths for a set of actions that control electronic communications between an entity and a set of users. The computing device may receive a first user input indicating a goal for the set of paths where the goal is based on data stored within an external data platform. The computing device may then route at least a subset of the set of users via one or more paths of the set of paths based on a result of the one or more paths satisfying the goal for the set of paths of the communication process flow. Further, the computing device may distribute a subset of the electronic communications to the subset of the set of users in accordance with the one or more paths.