Automated Heavyweight Route Quote Generation
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Solution Overview
Problem
Current logistical systems manually calculate quotes for transporting goods, struggle to automatically determine optimal routes, classify goods for each service provider, assess heavyweight regulations, predict heavyweight costs, and calculate transportation timing, leading to inaccurate quoting and product delays.
Innovation Solution
A system using a processor and memory to receive user requests, locate service carriers, classify goods based on specifications and carrier requirements, determine transportation edges, and generate potential routes with cost and time estimates, utilizing machine-learning models and cargo databases to automate route planning and quoting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual calculation methods are used to determine routes and classify goods, then flexibility in handling complex scenarios is improved, but productivity and time efficiency deteriorate
Solution Approach 1:
The patent segments the complex routing and classification problem into distinct components: graph data structure for route representation, service carrier identification module, good classification module, and quote generation module. Each component handles a specific aspect independently, enabling automated processing while maintaining the flexibility to handle complex multi-carrier, multi-stop scenarios through modular design.
2Productivity
If automated systems are implemented to calculate quotes and determine routes, then productivity and time efficiency are improved, but device complexity increases
Solution Approach 1:
The patent implements a universal graph data structure that can represent multiple transportation modes (truck, train, flight), multiple service carriers, and various route configurations in a unified framework. This multi-functional approach allows the system to handle diverse transportation scenarios through a single automated platform, reducing the need for separate specialized systems while maintaining high productivity.
3Manufacturing precision
If comprehensive service carrier classification requirements are enforced, then manufacturing precision and service quality are improved, but device complexity and processing time increase
Solution Approach 1:
The patent performs preliminary classification of goods and identification of suitable service carriers before route optimization and quote generation. By pre-establishing classification rules and matching goods to appropriate service carriers upfront, the system ensures high service quality and regulatory compliance while reducing the complexity of subsequent processing steps through filtered and organized data.
4Adaptability or versatility
If multiple intermediate locations and service carriers are considered in route planning, then adaptability and service quality are improved, but loss of time in calculation and processing increases
Solution Approach 1:
The patent replaces manual mechanical routing calculations with an automated computational system that uses graph data structures and algorithms to efficiently evaluate multiple intermediate locations and service carriers. This substitution enables the system to process complex multi-stop routes with multiple carriers instantly, providing route flexibility without the time loss associated with manual calculation methods.
Data Source
AI summary
A system and method for generating a route quote for the transportation of heavyweight goods. The route quote is generated based on the mode of transportation, classification of the good, and the classification requirements of service providers along a preferred route.