Adaptive Delivery Route Revision via User-Defined Disruption Constraints
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Solution Overview
Problem
Existing digital navigation solutions are inadequate in addressing environmental disruptions, shipping timelines, and costs associated with product delivery, as they fail to account for user-defined disruptions and do not provide accurate route planning that balances timeliness and cost efficiency.
Innovation Solution
A method and system that allow users to define environmental disruptions and constraints, using a graphical user interface to generate a revised delivery route that avoids disruptions while meeting delivery timelines and budget parameters, by integrating user input with data from a corpus of knowledge to predict optimal delivery routes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If digital navigation systems use standard route planning algorithms, then routes can be generated quickly, but the routes do not account for environmental disruptions and delivery constraints
Solution Approach 1:
The system performs preliminary actions by allowing users to define environmental disruptions and delivery constraints before route generation. This advance input enables the system to pre-process disruption data and constraints, so that when generating routes, it already has all necessary information to account for disruptions without adding complex real-time analysis during route calculation.
Solution Approach 2:
The patent introduces an intermediary layer between standard navigation algorithms and disruption data. This intermediary component processes user-defined disruptions and constraints, translating them into parameters that standard routing algorithms can utilize. This mediator enables complex disruption handling without requiring complete redesign of underlying navigation systems.
2Reliability
If the system generates multiple alternative routes to account for disruptions, then route reliability improves, but computation time and system load increase
Solution Approach 1:
The system applies partial action by generating alternative routes selectively rather than exhaustively. It focuses computational effort on generating a limited number of high-quality alternative routes that specifically address identified disruptions and constraints, rather than generating all possible routes. This approach achieves sufficient reliability for delivery timeliness without excessive computation.
Solution Approach 2:
The system changes parameters by allowing users to define specific disruption types and constraints that alter route evaluation criteria. By adjusting these parameters upfront, the system can optimize route generation to prioritize delivery timeliness under specific disruption scenarios, reducing the need for extensive alternative route generation during execution.
3Measurement precision
If the system allows users to define custom disruptions and constraints, then route planning accuracy improves, but ease of operation decreases
Solution Approach 1:
The system performs preliminary action by providing structured templates and pre-defined disruption categories that users can select. This allows users to define custom disruptions and constraints in advance using organized frameworks, improving accuracy while maintaining ease of operation through guided input processes rather than requiring complex free-form specifications.
Data Source
AI summary
Revising a delivery route for a user based on, at least, identified disruptions is provided. A computer device identifies delivery parameters for a delivery, wherein the delivery parameters include (i) a delivery route from a shipping location to a delivery location, and (ii) one or more delivery constraints. The computing device displays the delivery route on a graphical user interface (GUI), wherein the GUI is configured to be interacted with by one or more users. The computing devices receives from a user via the GUI, a definition of an environmental disruption. The computing device generates a revised delivery route, wherein the revised delivery route modifies the delivery route to avoid the environmental disruption while satisfying the one or more delivery constraints. The computing device displays the revised delivery route on the GUI.