Package Aggregation System Using Compatibility Factor Matching
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Solution Overview
Problem
Current shipping consolidation methods do not effectively consider various shipping parameters, leading to inefficiencies and increased costs, as they primarily focus on destination country without evaluating other critical factors.
Innovation Solution
A system and method for identifying compatible packages to consolidate into a pouch by comparing package details with predefined compatibility and incompatibility factors, using a processor to manage package inclusion in a pouch manifest and display options to users, while also considering questionable compatibility factors for further consideration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If shipments are consolidated based only on destination country, then consolidation is achieved, but other shipping parameters are not considered leading to inefficiencies
Solution Approach 1:
The patent applies parameter changes by expanding the consolidation criteria from a single parameter (destination country) to multiple parameters including delivery service type, package dimensions, weight, and other shipping characteristics. This allows for more precise matching of compatible packages while maintaining systematic consolidation processes.
Solution Approach 2:
The system segments the consolidation process into distinct evaluation stages: initial destination-based grouping, followed by detailed parameter compatibility assessment, and final pouch manifest generation. This segmentation enables comprehensive parameter consideration without overwhelming system complexity.
2Measurement precision
If multiple shipping parameters are considered for consolidation, then compatibility accuracy is improved, but processing complexity increases
Solution Approach 1:
The system performs preliminary actions by pre-defining compatibility rules and criteria for different package types and delivery services. These pre-established parameters are stored and automatically applied during consolidation, enabling accurate multi-parameter evaluation without real-time complex calculations.
Solution Approach 2:
The patent uses copying by creating standardized templates for different pouch types and compatibility criteria. These templates can be replicated and applied across multiple consolidation operations, ensuring consistent parameter evaluation while reducing the need for custom processing logic for each shipment.
3Loss of energy
If packages are consolidated into pouches, then shipping costs are reduced, but incompatible packages may be incorrectly included
Solution Approach 1:
The system implements feedback mechanisms by continuously monitoring package compatibility against defined criteria and providing alerts or corrections when potential incompatibilities are detected. This feedback loop ensures that cost-saving consolidations do not compromise delivery reliability or service requirements.
Solution Approach 2:
The patent applies beforehand cushioning by pre-identifying and flagging potential compatibility issues before final pouch consolidation. This preventive approach allows operators to review and adjust package groupings to avoid including incompatible packages, thereby maintaining both cost efficiency and reliability.
4Measurement precision
If manual package evaluation is performed, then compatibility accuracy is maintained, but processing time increases
Solution Approach 1:
The system applies self-service by automatically evaluating package compatibility using pre-defined criteria and algorithms. The system independently performs the evaluation that would otherwise require manual review, significantly reducing processing time while maintaining accuracy through systematic parameter comparison.
Solution Approach 2:
The patent replaces manual mechanical evaluation processes with automated computational systems that compare package parameters against compatibility rules. This substitution eliminates human labor while maintaining or improving evaluation accuracy through consistent, rule-based automated decision-making.
Data Source
AI summary
Various embodiments for aggregating packages into a pouch in a shipping environment are disclosed. For example, package details associated with a package are compared to one or more incompatibility factors, and if the package details do not match the one or more incompatibility factors, a package identifier uniquely identifying the package is added to a pouch manifest. If the package is not compatible with the pouch, an error message may be displayed to a user indicating that the package is incompatible. In addition, package details may be compared with compatibility factors identifying criteria for packages that are compatible with the pouch and questionable compatibility factors identifying criteria for packages that may be compatible with the pouch. Compatibility factors and questionable compatibility factors may include, for example, service options, delivery notification options, or destination zip code(s).