Order Data Merging for Logistics Server Load Reduction
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Solution Overview
Problem
Conventional on-line shopping methods result in increased logistical costs and reduced transaction success rates due to separate shipment of each transaction order, leading to server burden and network congestion from frequent inquiries for logistics information.
Innovation Solution
A data processing method and system that merges order data based on address matching conditions, allowing multiple orders to be combined and inquired through a single order number, reducing server load and logistics costs while improving transaction success rates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If separate shipment is performed for each transaction order, then individual order processing is simplified, but logistical cost increases and transaction success rate decreases
Solution Approach 1:
The patent merges multiple separate shipment orders into a single consolidated shipment when destination addresses match or are geographically close. The system automatically groups orders by destination, combines them into one shipment package, and processes them together, thereby reducing total shipment count and logistical costs while maintaining operational simplicity through automated routing algorithms.
2Ease of operation
If separate shipment is performed for each transaction order, then individual order tracking is simplified, but transaction success rate decreases
Solution Approach 1:
The system consolidates multiple orders into single shipments for matching destinations, which improves transaction success rates by reducing handling steps and potential errors. While tracking becomes slightly more complex, the system compensates by providing unified tracking for merged shipments and maintaining individual order visibility within the consolidated shipment framework.
3Measurement precision
If frequent queries for logistics information are sent to courier company server, then real-time tracking accuracy is improved, but server burden increases and network congestion occurs
Solution Approach 1:
The patent merges multiple logistics inquiries into a single batch query when multiple orders are consolidated into one shipment. Instead of sending separate tracking requests for each individual order, the system sends one unified inquiry for the consolidated shipment, dramatically reducing the number of server interactions and network traffic while maintaining real-time tracking capability for all merged orders through the single shipment's tracking data.
4Productivity
If multiple orders are merged and inquired through single order number, then server load and logistics costs are reduced, but order data processing complexity increases
Solution Approach 1:
The system merges multiple orders into consolidated shipments based on destination matching algorithms, which reduces server load and logistics costs. The increased data processing complexity is managed through automated routing systems that group orders by destination, calculate optimal consolidation groups, and generate unified tracking identifiers, thereby balancing efficiency gains with manageable system complexity.
Data Source
AI summary
Example data processing methods and systems are provided. A server obtains first order data submitted by a client. The first order data includes user address information. A matching operation is performed according to the user address information in a preset database to find second order data that satisfies an address matching condition. A merging operation is applied to merge second order data that satisfies the address matching condition with the first order data from the client.