Smart Queue for Automated Response Generation
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Solution Overview
Problem
Automated response generating systems face inefficiencies when interfacing with non-API applications, leading to prolonged response times and wastage of computational resources, as they often require human intervention due to the lack of available APIs for all applications.
Innovation Solution
An automated response generating tool that records and analyzes workflows to generate custom APIs and headless browser steps, enabling it to interface with non-API applications and provide responses efficiently, even in the absence of existing APIs, by leveraging metadata and machine learning algorithms to automate interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If chat bots interface with non-API applications through human agents, then responses can be generated, but response time increases significantly and computational resources are wasted
Solution Approach 1:
The system enables automated response generation for non-API applications through self-service mechanisms. The chat bot automatically performs workflows by capturing user interactions with the application interface, extracting necessary information, and generating responses without requiring human agent intervention. This self-service approach resolves the contradiction by maintaining reliability while dramatically reducing response time.
Solution Approach 2:
The patent replaces the mechanical system of human agents manually navigating application interfaces with an automated computational system. The chat bot uses screen capture, image recognition, and workflow automation technologies to substitute human manual operations with automated processes, thereby eliminating the time loss associated with human intervention while maintaining the ability to generate responses.
2Ease of operation
If human agents manually navigate through application pages to generate responses, then responses can be provided, but processing speed decreases and resources are consumed
Solution Approach 1:
The system enables automated self-service for interfacing with applications. The chat bot autonomously captures user interactions, extracts information from application interfaces using image recognition, and executes workflows without requiring human operators. This maintains ease of operation for diverse applications while dramatically improving productivity through automated processing.
Solution Approach 2:
The patent uses copying techniques by capturing screen images and creating digital representations of application interfaces. These captured images are then processed through image recognition to extract information and reproduce the workflow automatically. This copying approach enables the system to interface with any application visually without manual intervention, maintaining operational flexibility while boosting processing speed.
3Adaptability or versatility
If the system waits for human agents to process requests, then complex queries can be handled, but computational resources are wasted and users may abandon the channel
Solution Approach 1:
The system handles complex queries through self-service automation. The chat bot independently performs information extraction, workflow execution, and response generation without transferring requests to human agents. This maintains the ability to handle complex queries while eliminating the wasteful consumption of computational resources associated with idle waiting and manual processing.
Solution Approach 2:
The patent implements preliminary action by pre-capturing and storing workflow information during initial user interactions. The system learns and stores the sequence of actions required to complete tasks, so that when similar queries arise, the chat bot can execute pre-learned workflows immediately. This preliminary preparation enables the system to handle complex queries efficiently without wasting computational resources on real-time analysis.
Data Source
AI summary
A system includes a memory and a processor. The memory stores a queue that includes a sequence of slots, each of which is configured to store a request. The processor receives, from a user device, a request for information. In response, the processor stores the request in an end slot of the queue. The processor collects values for parameters associated with the system. The processor determines, based on the request and the collected values for the parameters, an estimate of a time to generate a response to the request. Generating the response includes identifying an application for use in generating the response, generating, based on a set of videos of processes previously performed using the application, instructions for interfacing with the application to generate the response, and executing the instructions to interface with the application. The processor further transmits, to the user device, the estimate of the time.