Telematics Marketplace Model Evaluation for Multi-Party Data Sharing

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Solution Overview

Problem

Conventional telematics data collection is party-specific, requiring multiple devices for customers interested in exploring products from various parties, necessitating a need for systems and methods that enhance data collection and sharing universality.

Innovation Solution

A telematics marketplace system that collects and manages user data using sensing modules to determine telematics inferences, including predicted and actual profitability, and updates predictive models based on match evaluations.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If conventional party-specific devices are used for telematics data collection, then each party can collect data for their own use, but customers interested in multiple parties must install multiple devices sequentially, increasing device complexity and loss of time

Engineering Contradiction:
Improvedata collection reliabilityVSAvoidnumber of devices required
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent implements a universal telematics data collection system where a single device or sensor module can collect and share data across multiple parties through a centralized marketplace platform. Instead of requiring separate party-specific devices, the system allows one device to serve multiple purposes and multiple customers, eliminating the need for sequential device installation while maintaining reliable data collection for each party's needs

Inventive Principle:
Principle #6Universality (Multi-functionality)

2Reliability

If multiple party-specific devices are installed sequentially, then each party gets dedicated data collection capability, but the process loses time and reduces ease of operation

Engineering Contradiction:
Improveparty-specific data accuracyVSAvoidtime for device installation
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The system performs preliminary actions by pre-configuring a universal data collection device with the capability to serve multiple parties. The marketplace platform is established in advance with data collection infrastructure ready, so when a customer joins, the device is already configured and can immediately begin collecting data for multiple parties simultaneously, eliminating sequential installation time while maintaining party-specific data accuracy

Inventive Principle:
Principle #10Preliminary action

3Adaptability or versatility

If a universal telematics marketplace is implemented, then data sharing across multiple parties is improved, but the system complexity and difficulty of managing multiple data streams increases

Engineering Contradiction:
Improvedata sharing capabilityVSAvoidsystem management complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent introduces a marketplace platform as an intermediary that manages the complexity of universal data collection and sharing. This intermediary layer handles the coordination between the single data collection device and multiple parties, providing automated data distribution, authentication, and management functions. This reduces the burden on customers and simplifies the user experience while enabling versatile data sharing across the network

Inventive Principle:
Principle #24Intermediary (Mediator)

Data Source

PatentUS20250307849A1Systems and methods for user management model evaluation based on telematics inferences via a telematics marketplace
Publication Date: 2025.10.02 QUANATA LLC
  • US20250307849A1 patent drawing
  • US20250307849A1 patent drawing
  • US20250307849A1 patent drawing

AI summary

A computer-implemented method includes: collecting a first set of operator data associated with a first group of vehicle operators; collecting a second set of operator data associated with a second group of vehicle operators; determining and updating a first set of telematics inferences based at least on the first set of sensor data; determining and updating a second set of telematics inferences based at least on the second set of sensor data; determining a first model evaluation based at least on the first set of operator data and the first set of telematics inferences; determining a second model evaluation based at least on the second set of operator data and the second set of telematics inferences; and transmitting the first model evaluation and the second model evaluation to the marketplace participant. Other embodiments are described.