Language Model Intermediary for Multi-Platform Service Comparison

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Solution Overview

Problem

End-users face frustration when comparing service options across multiple service provider applications, as they need to manually access and compare offerings, which is tedious and prone to changes, especially in real-time scenarios like ride sharing or lodging bookings.

Innovation Solution

A pre-trained language model acts as an intermediary, communicating with multiple service provider platforms to gather and present service options to the user, eliminating the need for manual comparison by providing a unified interface and preemptive analysis based on user preferences and activity patterns.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If end-users manually access and compare service options across multiple service provider applications, then they can evaluate service offerings, but the process becomes tedious and time-consuming

Engineering Contradiction:
Improveease of comparing service optionsVSAvoidtime spent on manual comparison
Core Design Contradiction:
Ease of operationVSLoss of time

Solution Approach 1:

A language model serves as an intermediary between the end-user and multiple service provider platforms. The language model automatically queries multiple service provider applications, compares service options, and presents consolidated results to the user, eliminating the need for manual switching between applications and reducing comparison time

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The system performs preliminary actions by proactively querying multiple service provider platforms before the user needs to make a decision. The language model pre-gathers service options, prices, and availability information, so when the user asks for comparisons, the data is already ready, significantly reducing the time required for evaluation

Inventive Principle:
Principle #10Preliminary action

2Adaptability or versatility

If end-users switch between multiple service provider applications to compare service options, then they can view different service offerings, but service options may change or become unavailable during evaluation

Engineering Contradiction:
Improveability to compare service optionsVSAvoidstability of service options during comparison
Core Design Contradiction:
Adaptability or versatilityVSReliability

Solution Approach 1:

The language model queries multiple service provider platforms simultaneously and caches the service option data before the user begins evaluation. This preliminary data gathering ensures that the user views consistent, stable service options rather than seeing changing or unavailable options that occur when switching between applications in real-time

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The language model acts as a mediator that captures service option snapshots from multiple platforms and presents them as a stable, consolidated view to the user. This intermediary layer freezes the dynamic service options at the moment of query, preventing changes or unavailability during the user's evaluation process

Inventive Principle:
Principle #24Intermediary (Mediator)

3Productivity

If end-users manually enter parameters into each service provider application, then they can search for service options, but the process becomes repetitive and frustrating

Engineering Contradiction:
Improveefficiency of service option searchVSAvoidtime spent on repetitive data entry
Core Design Contradiction:
ProductivityVSLoss of time

Solution Approach 1:

The language model serves as an intermediary that automatically extracts and inputs search parameters across multiple service provider applications. Instead of the user manually entering parameters into each application, the language model handles this repetitive task, significantly improving search efficiency and eliminating user frustration

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The system performs self-service by automatically handling the repetitive parameter entry process. The language model autonomously queries multiple service provider platforms with the extracted parameters, eliminating the need for user intervention in the data entry process and improving overall productivity

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS20240296186A1Language models and machine learning frameworks for facilitating interactions between end-users and multiple service provider platforms
Publication Date: 2024.09.05 MARROW IP LLC
  • US20240296186A1 patent drawing
  • US20240296186A1 patent drawing
  • US20240296186A1 patent drawing

AI summary

This disclosure relates to improved techniques for accessing and presenting service offerings and/or services options from multiple service provider platforms. In some embodiments, a front-end of the user application includes a client interface that enables an end-user to communicate with a pre-trained language model. The language model can serve as an intermediary between the end-user and a plurality of service provider platforms. The language model can communicate with each of the of service provider platforms to identify and present service options to the end-user via the client interface. Other embodiments are disclosed herein as well.