Bot Network Orchestration for Enriched Service Responses
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The increasing number of Internet robots (bots) available for automated tasks leads to complexity in usage, resulting in users receiving less enriched and personalized responses due to the difficulty in determining relevant bots for service requests.
Innovation Solution
An orchestration service that selects and orchestrates multiple bots based on aspects of a service request, integrates their responses, and provides a unified service response to users, leveraging user information and machine learning to enhance relevance and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the number of available bots increases to provide more automated tasks, then service capability and versatility are improved, but usage complexity increases making it difficult for users to determine relevant bots
Solution Approach 1:
An orchestration service is introduced as an intermediary between users and the bot network. This mediator receives service requests from users, automatically determines which bots are relevant to the request, orchestrates their execution, and integrates their responses. This resolves the contradiction by shielding users from the complexity of the large bot network while maintaining access to diverse service capabilities.
Solution Approach 2:
The orchestration service performs multiple functions within a single system: it acts as a request receiver, bot selector, task orchestrator, and response integrator. This universal approach allows one system to handle the complexity of managing numerous bots while providing simplified access to users, thereby maintaining versatility without increasing user-facing complexity.
2Loss of information
If all relevant bots are determined and orchestrated to process service requests, then response enrichment and personalization are improved, but processing complexity and network bandwidth requirements increase
Solution Approach 1:
The processing of service requests is segmented into distinct phases: request reception, bot determination, task orchestration, response collection, and response integration. Each phase is handled by the orchestration service in sequence, breaking down the complex task of managing multiple bots into manageable steps. This reduces processing complexity by providing a structured approach rather than simultaneous complex coordination.
Solution Approach 2:
The orchestration service performs preliminary determination of which bots are relevant to a service request before actually executing the tasks. By pre-identifying the subset of relevant bots from the larger network, the system prepares the necessary configuration and parameters in advance, reducing the complexity of real-time coordination and allowing for more efficient processing while maintaining response enrichment.
Data Source
AI summary
An increasing number of bots become available each day that perform automated tasks over the Internet to help facilitate a variety of service requests for a user. Thus, embodiments are directed to an orchestration service configured to perform bot network orchestration in order to provide enriched responses to service requests and/or in order to find one accurate answer among large numbers of bot responses to a specific query. For example, a service request for a user that involves at least one service provider may be received. A plurality of bots to orchestrate a processing of the service request may be determined. Instructions may be provided to the bots associated with aspects of the service request, where each bot is selected based on an aspect of the service request. Responses received from the bots may be integrated into a service response and provided to a requestor of the service request.