Dynamic Delivery Route Optimization Across Geographic Boundaries

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Solution Overview

Problem

Existing delivery route management systems are inefficient when assigning routes to carriers across geographic boundaries, as they often prioritize primary geographic regions, leading to suboptimal route generation and increased costs when additional orders need to be integrated.

Innovation Solution

A method that identifies and modifies delivery routes across geographic regions by comparing costs of incorporating additional stops, allowing routes to be optimized by assigning orders to carriers based on the most efficient geographic distribution, even if it means temporarily deviating from primary region designations.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If delivery routes are assigned strictly by primary geographic region, then carrier territory management is simplified, but route efficiency deteriorates when additional orders need to be integrated

Engineering Contradiction:
Improvecarrier territory managementVSAvoidroute efficiency
Core Design Contradiction:
Ease of operationVSProductivity

Solution Approach 1:

The system dynamically reassigns delivery orders between carriers based on real-time route efficiency calculations. When an additional order is identified, the system evaluates whether modifying a carrier's primary geographic region assignment would result in lower overall costs, allowing flexible cross-boundary assignments that adapt to changing delivery requirements while maintaining clear territory management protocols.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system changes the geographic region parameter assignment dynamically. Instead of fixed geographic boundaries, the system allows carriers to temporarily deliver orders outside their primary region when cost analysis shows this optimization is beneficial. The geographic region parameter becomes flexible rather than static, enabling efficient route modifications while tracking carrier performance across different regions.

Inventive Principle:
Principle #35Parameter changes

2Reliability

If routes are generated after assigning to carriers, then carrier-specific constraints are respected, but overall route optimization is reduced

Engineering Contradiction:
Improvecarrier constraint complianceVSAvoidroute optimization
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

The system performs preliminary route generation across all carriers' geographic regions before final assignment. Routes are initially planned considering all possible carrier assignments and geographic distributions, allowing the system to identify the most efficient overall route network. Only after this preliminary optimization does the system assign routes to specific carriers, ensuring both global optimization and subsequent constraint compliance.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system introduces a central routing optimization platform that acts as an intermediary between carrier constraints and route efficiency requirements. This intermediary analyzes carrier-specific constraints, geographic regions, and delivery requirements to generate optimized routes that satisfy both carrier limitations and overall system efficiency goals, then coordinates the final assignment to appropriate carriers.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Adaptability or versatility

If additional stops are added to delivery routes, then order fulfillment capability is improved, but operational costs increase

Engineering Contradiction:
Improveorder fulfillment capabilityVSAvoidoperational costs
Core Design Contradiction:
Adaptability or versatilityVSLoss of energy

Solution Approach 1:

The system implements feedback-based cost analysis by continuously evaluating the operational impact of adding additional delivery stops. When a new delivery request is received, the system calculates the cost of modifying existing routes to include this stop, compares it against alternative solutions, and only approves modifications when the overall cost impact is minimized. This feedback loop ensures adaptability to new orders while controlling operational cost increases through data-driven decision-making.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS10990911B2Delivery route management and optimization
Publication Date: 2021.04.27 TARGET BRANDS INC
  • US10990911B2 patent drawing
  • US10990911B2 patent drawing
  • US10990911B2 patent drawing

AI summary

In some implementations, a method performed by data processing apparatuses includes identifying a first delivery route that includes delivery stops at multiple locations within a first geographic region, and identifying a second delivery route within a second geographic region. The first delivery route can be assigned to a first carrier that is designated to deliver orders within the first geographic region, and the second delivery route can be assigned to a second carrier that is designated to deliver orders within the second geographic region. An additional order can then be identified that is requested to be delivered to a location within the first geographic region. The second delivery route can be modified to include the additional delivery stop for the additional order, including assigning the additional order to the second carrier even though the second carrier is designated to deliver orders within the second geographic region.