Automated Assistant Calls Based on Entity Operating Data
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Solution Overview
Problem
Automated assistants often waste computational and network resources by initiating unnecessary automated telephone calls due to inadequate consideration of available data and timing factors.
Innovation Solution
Implement a system that determines whether and when to initiate automated telephone calls based on relevant data associated with the entity and task, using processor(s) to analyze data and generate notifications or initiate calls at optimal times.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If automated assistants initiate automated telephone calls to perform user-requested tasks, then task completion capability is improved, but computational and network resources are wasted when calls are unnecessary
Solution Approach 1:
The system performs preliminary actions by retrieving and analyzing entity data (such as business hours, holiday schedules, and operational status) before initiating an automated telephone call. This preliminary data gathering and analysis allows the system to determine whether a call is necessary, thereby avoiding wasteful consumption of computational and network resources while still maintaining the capability to complete tasks when appropriate.
2Reliability
If automated assistants call entities during operating hours, then likelihood of successful task completion is improved, but calls may be made at inappropriate times when entities are busy
Solution Approach 1:
The system dynamically determines the optimal timing for automated telephone calls by continuously monitoring and considering multiple factors including current time, entity business hours, holiday schedules, and operational status. This dynamic timing approach allows the system to adapt call scheduling to real-world conditions, maximizing the likelihood of successful task completion while avoiding inappropriate call times when entities are busy or closed.
3Productivity
If automated assistants use readily available data to perform tasks, then resource efficiency is improved, but the system complexity increases due to data retrieval and analysis requirements
Solution Approach 1:
The system employs a universal data retrieval and analysis mechanism that serves multiple functions: it gathers entity operational data, analyzes timing factors, determines call necessity, and optimizes call scheduling. This multi-functional approach consolidates what would otherwise be separate complex subsystems into a unified data handling framework, thereby improving resource efficiency across multiple task types while managing system complexity through functional integration.
Data Source
AI summary
In various implementations, processor(s) of a system can receive user input to cause an automated assistant to initiate an automated telephone call. Based on the user input, the processor(s) can identify an entity to engage with during the automated telephone call and a task to be performed during the automated telephone call. However, and prior to causing the automated assistant to initiate the automated telephone call, the processor(s) obtain data that is associated with the entity to engage with during the automated telephone call and that is relevant to the task to be performed during the automated telephone call. In some implementations, the processor(s) can determine whether to initiate the automated telephone call based on the data. In additional or alternative implementations, the processor(s) can determine when to initiate the automated telephone call based on the data.


