Dynamic Route Optimization for Mobile Recipient Delivery

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Solution Overview

Problem

Conventional item delivery methods face delays when recipients are mobile or their locations change, as they rely on pre-defined delivery points or manual location updates, which are inefficient in dynamic environments like restaurants or office buildings.

Innovation Solution

An optimized item delivery system that calculates routes in real-time, using algorithms like Dijkstra's or Bellman-Ford, and provides access credentials to automated or user-driven delivery mechanisms, allowing for dynamic updates based on recipient location changes.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of time

If conventional delivery methods use pre-defined delivery points or manual location updates, then the delivery system is simple to operate, but delivery delays occur when recipients are mobile or locations change

Engineering Contradiction:
Improvedelivery delayVSAvoiddelivery system complexity
Core Design Contradiction:
Loss of timeVSDevice complexity

Solution Approach 1:

The patent implements dynamic delivery points that automatically update based on real-time recipient location data from mobile devices. Instead of static pre-defined delivery locations, the system continuously tracks recipient movement and adjusts delivery coordinates, enabling adaptive routing that follows mobile recipients while maintaining operational simplicity through automated updates.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system establishes a feedback loop where mobile device location data continuously feeds back to the delivery management system. This real-time location information is processed to recalculate optimal delivery routes and update delivery points dynamically, creating a closed-loop control system that automatically responds to recipient movement without manual intervention.

Inventive Principle:
Principle #23Feedback

2Productivity

If the system implements real-time route optimization with dynamic updates, then delivery efficiency improves, but the complexity of the delivery system increases

Engineering Contradiction:
Improvedelivery efficiencyVSAvoiddelivery system complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The delivery system implements self-service automation where the routing algorithm automatically optimizes delivery paths based on real-time location data without requiring manual route planning or intervention. The system autonomously calculates optimal routes, updates delivery points, and provides turn-by-turn navigation to delivery personnel, reducing the need for complex manual coordination while maintaining high efficiency.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent replaces manual mechanical route planning and location tracking with automated electronic systems. Mobile device GPS data substitutes for manual location reporting, and computerized routing algorithms replace human route optimization efforts, significantly improving efficiency while managing complexity through software automation rather than mechanical processes.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

3Measurement precision

If manual location updates are required for mobile recipients, then the system remains simple to implement, but delivery accuracy decreases when recipients move between locations

Engineering Contradiction:
Improverecipient location accuracyVSAvoidoperational simplicity
Core Design Contradiction:
Measurement precisionVSEase of operation

Solution Approach 1:

The patent introduces mobile devices as intermediary components between recipients and the delivery system. These devices automatically transmit location data via GPS and network connectivity, serving as mediators that bridge the gap between mobile recipients and the delivery management system. This intermediary layer maintains operational simplicity for recipients while providing continuous accurate location data to improve delivery precision.

Inventive Principle:
Principle #24Intermediary (Mediator)

Data Source

PatentUS11651325B2Item delivery optimization
Publication Date: 2023.05.16 OMNISSA LLC
  • US11651325B2 patent drawing
  • US11651325B2 patent drawing
  • US11651325B2 patent drawing

AI summary

Item delivery optimization may be provided. Items may be identified as available for delivery at a first location to at least one second location. A route from the first location to the second location may be calculated and at least a portion of the route from the first location to the second location may be provided to a delivery mechanism, such as an automated delivery device and/or a user.