Order Management State Aggregation for Fallout Resolution
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Solution Overview
Problem
Current computerized order management systems face inefficiencies in managing and monitoring the lifecycle of electronic orders due to unreliability in tracking the state of order content across multiple hierarchical layers, leading to challenges in detecting and resolving failed orders.
Innovation Solution
The system processes order entities using an orchestration plan that aggregates state information from multiple order components, allowing for the determination of a current processing state and cascading status updates across layers to maintain relational links between order instances, thereby supporting the detection and resolution of failed orders.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If state information is tracked at custom calculation level across multiple hierarchical layers, then order processing flexibility is improved, but measurement precision and reliability of order state tracking deteriorates
Solution Approach 1:
The patent introduces a new dimensional approach by creating a separate state information aggregation layer that operates independently from the custom calculation layer. This aggregation layer collects state information from multiple hierarchical levels and presents a unified, reliable view of order state, thereby resolving the contradiction between processing flexibility and tracking precision.
Solution Approach 2:
The patent introduces an intermediary aggregation layer that mediates between the custom calculation operations at various hierarchical levels and the final order state determination. This intermediary collects, standardizes, and aggregates state information, ensuring reliable and precise tracking while preserving the flexibility of custom calculations at each level.
2Device complexity
If manual monitoring and intervention methods are used for order lifecycle management, then system complexity is reduced, but productivity and efficiency deteriorate
Solution Approach 1:
The patent implements self-service mechanisms through automated state information aggregation and cascade propagation. The system automatically collects state information from various order components, aggregates it according to defined rules, and propagates updates throughout the hierarchical structure without requiring manual intervention, thereby maintaining manageable complexity while significantly improving productivity.
Solution Approach 2:
The patent establishes feedback loops where state information automatically flows from child order entities back to parent order entities through the aggregation layer. This automated feedback mechanism enables real-time monitoring and decision-making, improving efficiency while keeping system complexity manageable through structured information flow.
3Reliability
If state information is aggregated from multiple order components, then reliability of order state determination is improved, but device complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the state information aggregation function into distinct modular components: state information collection modules at each hierarchical level, aggregation rules engines, and cascade propagation mechanisms. This segmentation improves reliability through comprehensive data collection while managing complexity through modular, reusable components with clear interfaces.
Data Source
AI summary
Methods, systems, and computer readable media for managing order processing and fallout are disclosed. One exemplary method includes processing, in accordance to an orchestration plan, an order entity containing an order item, wherein the orchestration plan is functioning on a processing layer executed by electronic order management system. The method further includes respectively receiving, from each of one or more orchestration order components associated with the orchestration plan, state information corresponding to a child order item contained in a child order entity, wherein the state information respectively received by each of the one or more orchestration order components is respectively reflected in an order component order item included within the one or more orchestration order components and determining a current processing state for the order item by aggregating the state information reflected in all of the order component order items.