Transfer Path Optimization for Delivery Accuracy
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Solution Overview
Problem
Existing methods for path selection in delivering goods suffer from inaccuracy in predictions, leading to inefficient delivery processes.
Innovation Solution
A system and method for transfer path optimization that generates fast transfer paths by identifying originators within a threshold distance, determining time to destination, ordering, scoring, and assigning the highest-scoring path to accelerated delivery components, while also generating a separate path for non-accelerated components, utilizing a computing device and machine-learning processes to optimize routing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing path selection methods are used, then delivery paths can be generated, but prediction accuracy is insufficient leading to inefficient delivery processes
Solution Approach 1:
The patent segments the delivery path selection into multiple independent components: originator identification, transfer path generation, scoring mechanism, and component prioritization. Each segment handles specific aspects of the delivery optimization, allowing independent refinement and improvement of prediction accuracy without compromising overall delivery efficiency.
Solution Approach 2:
The system changes multiple parameters simultaneously including originator location thresholds, transfer path variables, scoring weights, and delivery priority levels. By adjusting these parameters dynamically based on delivery requirements, the system achieves both high prediction accuracy and maintained productivity in the delivery process.
2Measurement precision
If multiple transfer paths are generated and optimized, then delivery accuracy improves, but computational complexity increases
Solution Approach 1:
The complex path optimization problem is divided into manageable segments: originator identification, individual path generation, path scoring, and final selection. This segmentation reduces computational complexity by handling each aspect separately rather than optimizing all paths simultaneously, while still achieving high path selection accuracy.
Solution Approach 2:
The system applies different optimization qualities to different parts of the path selection process. High-computation scoring mechanisms are applied only to critical paths, while less critical paths use simplified evaluation. This local quality approach maintains high accuracy for important deliveries without unnecessarily increasing overall system complexity.
3Loss of time
If accelerated delivery is prioritized for certain components, then delivery time is reduced, but resource allocation complexity increases
Solution Approach 1:
The system performs preliminary identification and prioritization of components requiring accelerated delivery before path optimization begins. By pre-categorizing components based on delivery urgency and pre-identifying suitable originators, the system reduces resource allocation complexity during the actual path optimization while still achieving reduced delivery times for priority components.
Solution Approach 2:
Different resource allocation strategies are applied to different components based on their delivery requirements. Accelerated components receive optimized resource allocation with priority handling, while standard components use常规 allocation. This local quality approach reduces overall complexity by applying complex resource management only where necessary for time-critical deliveries.
Data Source
AI summary
A system for transfer path optimization is disclosed. The system comprises a computing device configured to receive a plurality of inputs from a user device at a current geographical location. The computing device is configured to generate a plurality of originators as function of the plurality of inputs, by identifying originators within a threshold distance relative to current geographical location of the user device. The computing device is configured to generate a fast transfer path. Computing device is configured to pair the fast transfer path with the first component and to assign a transfer agent to the fast transfer path. Computing device is configured to generate a second component path to transfer the second component. A method for transfer path optimization is also disclosed.