Conveyance Request Matching for Real-Time Preference-Based Dispatch
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Solution Overview
Problem
Existing conveyance industry systems lack the capability to analyze and secure conveyance service requests in substantially real time, leading to inefficiencies for both representatives and clients, and do not allow representatives to apply their preferences effectively, resulting in suboptimal service requests and reduced earning potential.
Innovation Solution
An interactive network and method that utilizes a Representative Automated Platform (RAP) and Autonomous Vehicle Automated Platform (AVAP) to continuously analyze and secure preferred conveyance service requests in real time based on representative or AV preferences, optimizing vehicle utilization and decision-making processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If representatives manually evaluate conveyance service requests in real time, then they can make informed decisions based on preferences, but the system complexity and time required increase significantly
Solution Approach 1:
The system pre-calculates and stores optimal conveyance service requests based on representative preferences before requests are made. When a request comes in, the system has already prepared matching recommendations, eliminating the need for complex real-time analysis by representatives.
Solution Approach 2:
The system automatically evaluates incoming conveyance service requests against stored representative preferences and generates recommendations without requiring representative intervention. The system serves itself by autonomously matching requests to preferences and presenting optimized options.
2Adaptability or versatility
If the system presents only one conveyance service request at a time, then the interface remains simple, but representatives cannot compare options and make optimal decisions
Solution Approach 1:
The system segments conveyance service requests into distinct, comparable options based on representative preferences. Each request is presented as a separate, evaluated candidate with clear differentiation, allowing representatives to compare discrete options without overwhelming complexity.
Solution Approach 2:
The system changes the presentation parameters of conveyance service requests by sorting and filtering them according to representative preferences. Requests are transformed from raw data into preference-aligned options with varying degrees of match quality, enabling comparative decision-making.
3Productivity
If representatives work across multiple conveyance industry segments simultaneously, then earning potential increases, but the ability to rapidly evaluate and secure requests decreases
Solution Approach 1:
The system creates a universal preference profile for each representative that works across multiple conveyance industry segments. The same preference framework evaluates requests whether they are for ride-hail, rideshare, on-demand delivery, or other segments, eliminating the need for separate evaluation processes for each segment.
Solution Approach 2:
The system maintains continuous evaluation of conveyance service requests across all industry segments simultaneously. As requests arrive in real-time from any segment, the system continuously matches them against stored preferences and presents recommendations without interruption, allowing representatives to maintain steady productivity across segments.
4Productivity
If conveyance service requests are secured without real-time analysis, then the process is fast, but representatives receive suboptimal requests that do not match their preferences
Solution Approach 1:
The system pre-evaluates incoming conveyance service requests against representative preferences before presenting them. This preliminary filtering ensures that only preference-matching requests are considered, guaranteeing quality without sacrificing speed since the evaluation work is done automatically in advance.
Solution Approach 2:
The system provides feedback to representatives about how well each conveyance service request matches their stored preferences. This feedback mechanism ensures representatives receive high-quality, preference-aligned requests while maintaining fast processing through automated matching algorithms.
Data Source
AI summary
The inventive platform and method address a long felt need for optimizing the efficiency of operation within the conveyance industry for goods and services by providing for the filtering, selection and securing of conveyance services in accordance with one or more of client and representative preferences in substantially real time. An efficiency preference may be employed to pool conveyance services for optimizing vehicle utilization.


