Packing Optimization System Minimizes Shipping Costs

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Solution Overview

Problem

Existing packing methods fail to optimize shipping costs by not considering a wide range of cost factors beyond item dimensions, leading to suboptimal packing solutions that can result in high shipping cost estimates, cart abandonment, or increased costs for online retailers.

Innovation Solution

A system and method that rank products and containers based on weight and dimension information, using shipping rate tables and zone information to determine cost-optimal layout configurations for packing, providing a visual or machine-readable packing instruction that minimizes shipping costs.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Volume of stationary object

If existing packing methods optimize based on volume utilization or dimensional values, then the number of boxes is reduced, but shipping cost optimization is not achieved

Engineering Contradiction:
Improvevolume utilizationVSAvoidshipping cost
Core Design Contradiction:
Volume of stationary objectVSLoss of energy

Solution Approach 1:

The system changes the optimization parameters from purely dimensional (volume, length, width, height) to include multiple cost-related parameters such as shipping rates, fuel surcharges, handling fees, and insurance costs. This allows the packing solution to minimize total shipping cost rather than just volume usage.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The shipping cost is segmented into multiple components (base rate, fuel surcharge, handling fee, insurance cost) and each component is considered separately in the optimization process. This enables targeted optimization of different cost drivers.

Inventive Principle:
Principle #1Segmentation

2Loss of energy

If shipping cost estimates are overestimated, then retailer profits decrease, but cart abandonment is reduced

Engineering Contradiction:
Improveshipping cost accuracyVSAvoidonline retailer profitability
Core Design Contradiction:
Loss of energyVSProductivity

Solution Approach 1:

The system uses feedback from actual shipping costs and customer behavior data to continuously refine shipping cost estimates. By monitoring whether estimates lead to cart abandonment or profitability issues, the system adjusts its cost calculation model to achieve optimal accuracy.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system performs preliminary cost calculations and optimizations before finalizing shipping estimates, incorporating multiple cost factors and packing configurations in advance to provide accurate estimates that balance customer acceptance and retailer profitability.

Inventive Principle:
Principle #10Preliminary action

3Device complexity

If packing methods only consider item and container dimensions, then packing simplicity is maintained, but cost-optimal solutions are not achieved

Engineering Contradiction:
Improvepacking method complexityVSAvoidshipping cost
Core Design Contradiction:
Device complexityVSLoss of energy

Solution Approach 1:

The packing system integrates multiple functions into a single optimization process: dimensional fitting, weight calculation, cost estimation, and layout generation. This multi-functional approach achieves cost-optimal solutions without requiring separate complex procedures for each factor.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system automatically retrieves shipping rates, calculates costs, and generates optimized packing layouts without requiring manual input of cost parameters. The automated process incorporates multiple cost factors while maintaining ease of use.

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS11216774B2Systems and methods for packing optimization and visualization
Publication Date: 2022.01.04 PACCURATE INC
  • US11216774B2 patent drawing
  • US11216774B2 patent drawing
  • US11216774B2 patent drawing

AI summary

Systems and methods are disclosed for packing optimization and visualization. In one example, a method for managing a shipment of a plurality of products, comprises: obtaining a request for a packing instruction from a user via a user interface; ranking the products based on their weight information and dimension information to generate a first ranking list; ranking one or more containers based on their dimension information to generate a second ranking list; determining, based on the first ranking list and the second ranking list, a plurality of layout configurations for packing the products into at least one container selected from the one or more containers; selecting a layout configuration from the plurality of layout configurations based at least partially on a rate table including shipping rate information of one or more shipping carriers identified by the user, wherein the selected layout configuration minimizes a cost of shipping the products; generating a visual illustration of the layout configuration; and providing a packing instruction comprising the visual illustration to the user via the user interface.