Appliance Demand Processing for Automated Warehouse Matching
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Solution Overview
Problem
Existing systems face challenges in efficiently determining matching appliance providers and warehouses for delivery, often leading to inventory shortages and increased manual intervention, especially in cross-warehouse transfers.
Innovation Solution
A method and server system that processes appliance demand information by determining a matching appliance provider and warehouse based on delivery address, optimizing selection through criteria like proximity, provider alignment, and cost, and updating appliance states using RFID and NFC technologies for accurate logistics management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual intervention is used to determine matching appliance providers and warehouses, then flexibility in selection is improved, but labor costs and processing time increase
Solution Approach 1:
The system enables automatic self-service functionality where the server autonomously determines matching appliance providers and warehouses based on delivery addresses without requiring manual intervention. The automated matching process compares delivery addresses with warehouse coverage areas and appliance inventory data to independently generate demand orders, eliminating the need for manual selection while maintaining operational flexibility.
Solution Approach 2:
The patent replaces manual mechanical operations with an automated information processing system. The server uses computational algorithms to substitute human decision-making processes, automatically matching delivery addresses with warehouse locations and appliance inventory data to determine optimal providers and warehouses, thereby reducing both labor costs and processing time.
2Productivity
If automated matching is implemented, then processing efficiency is improved, but accuracy in determining matching providers and warehouses may deteriorate
Solution Approach 1:
The system incorporates feedback mechanisms where the server continuously updates and refines its matching algorithms based on order fulfillment outcomes, delivery address patterns, and inventory availability data. This feedback loop ensures that automated matching maintains high accuracy by learning from past performance and adjusting selection criteria accordingly.
Solution Approach 2:
The patent implements preliminary action by pre-establishing comprehensive appliance information sets that include detailed warehouse coverage areas, delivery address ranges, and inventory data before demand occurs. This preliminary preparation enables the automated system to quickly and accurately determine matching providers and warehouses when demand orders are received, maintaining both efficiency and accuracy.
3Measurement precision
If comprehensive appliance information sets are maintained, then matching accuracy is improved, but system complexity and data management burden increase
Solution Approach 1:
The patent segments the comprehensive appliance information set into modular components including warehouse information modules, appliance inventory modules, and delivery address range modules. Each segment is independently managed and updated, reducing overall system complexity while maintaining comprehensive data for accurate matching. The segmented structure allows parallel processing and easier maintenance of large datasets.
Data Source
AI summary
Disclosed in embodiments of the present invention are a method and server for processing appliance demand information. One specific embodiment of the method comprises: obtaining appliance demand information, wherein the appliance demand information comprises the number of required appliances and an appliance delivery address; determining a matching appliance provider and a matching warehouse from a preset appliance information set according to the appliance delivery address in the obtained demand information; generating a demand order according to the obtained appliance demand information and the matching appliance provider; updating an available state of the appliance corresponding to the demand order in the appliance information set; and sending the demand order to a target electronic device corresponding to the matching warehouse.