Transport Token Tracking for Supply Chain Efficiency
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Solution Overview
Problem
Modern supply chain management systems are inefficient due to numerous points of contact during delivery, leading to challenges in tracking and managing transport data effectively.
Innovation Solution
An apparatus and method utilizing a processor and memory to identify transport tokens from transport data, compare them with criteria, and generate summate values, enabling efficient tracking and management of transport lifecycles through a graphical user interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional supply chain management systems are used with multiple points of contact during delivery, then comprehensive tracking coverage is achieved, but system efficiency and tracking effectiveness deteriorate
Solution Approach 1:
The patent extracts and isolates specific critical attributes from the complex transport data (location, temperature, humidity, shock events) to create discrete transport tokens. This extraction approach maintains comprehensive tracking of essential parameters while eliminating the inefficiency of processing all raw data points, thereby improving system efficiency without sacrificing tracking reliability
Solution Approach 2:
The system transforms continuous transport data into discrete token states by applying threshold criteria (e.g., temperature ranges, shock thresholds). This parameter transformation converts complex continuous data into manageable discrete states, improving processing efficiency while maintaining reliable tracking of significant transport conditions
2Loss of information
If comprehensive transport data is collected at multiple points, then complete monitoring is achieved, but data organization and processing complexity increase
Solution Approach 1:
The patent segments comprehensive transport data into distinct attribute categories (location, environmental conditions, shock events, delivery status). Each attribute is processed independently through specific criteria to generate corresponding tokens, reducing processing complexity while maintaining complete monitoring coverage through systematic segmentation of the data stream
Solution Approach 2:
The transport token serves as an intermediary data structure that organizes and standardizes information from multiple transport attributes. This token intermediate layer simplifies subsequent processing by presenting unified, structured data with defined properties, reducing the complexity of handling raw multi-source transport data while preserving information completeness
Data Source
AI summary
In an aspect an apparatus for transport token tracking is presented. An apparatus may include at least a processor and a memory communicatively connected to the at least a processor. A memory may include instructions configuring at least a processor to receive transport data of a transport. Processor may be configured to identify a transport token as a function of the transport data. Processor may also be configured to generate one or more summate values as a function of a comparison between the transport token and a token criteria. Processor may be configured to generate a data query requesting or searching for updated transport data of the transport. Processor may be configured to update the one or more stage subgroups as a function of the data query.