Dynamic Delivery Route Generation with Office Activity Segmentation
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Solution Overview
Problem
Current delivery systems face inefficiencies in route optimization due to static route generation that does not account for variances in delivery points, traffic, and time-based changes, leading to inaccurate estimates of service time and performance evaluation for carriers.
Innovation Solution
The system processes GPS data from carriers to dynamically generate or augment delivery routes, incorporating street and office activities, and calculates expected durations for travel, street activities, and office preparations, enabling real-time route optimization and evaluation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If static route generation is used, then route planning is simple, but route efficiency and accuracy deteriorate due to inability to account for dynamic conditions
Solution Approach 1:
The patent implements dynamic route generation that adapts to changing conditions such as traffic patterns, delivery point accessibility, and time-based variations. The system continuously updates route parameters based on real-time and historical data, transforming the static route planning process into a dynamic one that optimizes delivery efficiency while managing computational complexity through iterative refinement.
Solution Approach 2:
The system incorporates feedback mechanisms by analyzing actual delivery data, carrier performance metrics, and route completion information to continuously improve route generation algorithms. This feedback loop enables the system to learn from past deliveries and adjust future route planning, balancing the complexity of analysis with the benefits of improved route accuracy and efficiency.
2Measurement precision
If detailed tracking data is collected, then route accuracy improves, but data processing complexity increases
Solution Approach 1:
The patent extracts and focuses on specific critical data points from comprehensive tracking information, such as key delivery point coordinates, timestamp data, and carrier location markers. By selecting only the most relevant data elements needed for route accuracy rather than processing all available data, the system maintains high measurement precision while reducing overall data processing complexity.
Solution Approach 2:
The system segments delivery routes into discrete delivery points with individual tracking data, allowing processed analysis of specific segments rather than treating the entire route as one complex data set. This segmentation enables precise measurement at each delivery point while simplifying overall data management through modular processing of route segments.
3Productivity
If dynamic route augmentation is implemented, then route efficiency improves, but system complexity increases
Solution Approach 1:
The system performs preliminary analysis of delivery patterns, traffic conditions, and route characteristics before finalizing delivery routes. By pre-processing and pre-planning route augmentations based on historical data and predicted conditions, the system improves delivery productivity while managing complexity through advance preparation rather than real-time complex calculations during active delivery.
Solution Approach 2:
The patent dynamically adjusts route parameters such as delivery sequence, stop timing, and carrier assignment based on changing conditions. By modifying specific numerical parameters of existing routes rather than completely redesigning route structures, the system achieves improved productivity through targeted parameter optimization while avoiding the complexity of complete route regeneration.
Data Source
AI summary
Methods and systems for coordinating item delivery are disclosed. In one aspect, a method comprises receiving delivery route data from a carrier device, generating, based on the delivery route data, a digital route for a delivery resource, the digital route comprising a street portion and an office portion, wherein the street portion comprises: a plurality of delivery points at which the carrier is to perform a service, and a segmented travel course for the carrier to travel to each of the plurality of delivery points in a determined sequence, and wherein the office portion comprises details regarding one or more office activities performed by the carrier to prepare for or conclude the street portion of a delivery route. The method further comprises determining an expected duration of time for: (1) travel of each segment of the travel course, (2) completion of each of the street activities, and (3) completion of the one or more office activities.