Offline Product Availability Middleware Using Threshold Categorization
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Solution Overview
Problem
Existing systems face challenges in minimizing the time required to update product availability information on offline computers, as they need to frequently connect to a central logistics system, which is inefficient due to the volatility of exact quantity inventory information and limited transmission capacity.
Innovation Solution
Implementing a middleware messaging system that allows product availability categories to be determined and transmitted between computer systems, using threshold-based categorization to reduce the need for frequent updates and optimize data transfer, even when the systems are offline.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If product availability information is updated frequently on offline computers, then the information remains current, but the transmission capacity is overwhelmed and update time increases
Solution Approach 1:
The patent segments product availability information into multiple categories (e.g., in-stock, out-of-stock, low-stock, back-order) based on threshold values. Instead of transmitting complete quantitative inventory data, only the categorical information is transmitted to offline computers. This segmentation reduces data volume and transmission time while maintaining sufficient information for sales personnel to make informed decisions.
Solution Approach 2:
The patent transforms the parameter of product availability from exact quantitative values to categorical representations. By changing the parameter from continuous inventory quantities to discrete availability categories, the system reduces the complexity and volume of data that needs to be transmitted and stored on offline computers, thereby reducing update time while preserving essential information.
2Loss of information
If exact quantity inventory information is transmitted, then complete information is provided, but transmission capacity is exceeded due to data volume
Solution Approach 1:
The patent extracts only the essential information needed for product availability assessment by comparing inventory quantities against predefined thresholds. Instead of transmitting complete inventory quantity data, only the resulting category (e.g., in-stock, out-of-stock) is extracted and transmitted to offline computers. This extraction process eliminates unnecessary data volume while retaining the critical information needed for sales operations.
Solution Approach 2:
The patent segments continuous inventory quantity data into discrete availability categories based on threshold values. This segmentation transforms large volumes of quantitative data into compact categorical representations that convey the same operational information in a much smaller data format, suitable for transmission to offline computers with limited capacity.
3Reliability
If offline computers connect frequently to the central system, then information is updated, but system performance degrades due to connection overhead
Solution Approach 1:
The patent changes the parameter of data transmission from detailed quantitative inventory information to simplified categorical availability data. This parameter change reduces the amount of data that needs to be synchronized between the central system and offline computers, allowing updates to be performed more efficiently with less impact on overall system performance.
Solution Approach 2:
By segmenting inventory information into categories, the patent reduces the complexity of data synchronization. Offline computers receive only the essential categorical information needed for their operations, reducing the time and resources required for each connection and update cycle, thereby minimizing the impact on central system performance.
Data Source
AI summary
Techniques describe providing product availability information for use by offline computers. More particularly, a category of product availability for a product is determined at one computer system, often a central logistics or sales system, and transmitted to another computer, typically, though not necessarily, a mobile computer. The category of product availability is accessible at the mobile computer even when the computer is offline—that is, is not connected to the computer that determined the category of product availability.