Smart Communication Network for Supply Chain Asset Tracking
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Solution Overview
Problem
In supply chain management, communication disruptions lead to inefficient information dissemination, often resulting in a 'game of telephone' where unnecessary parties are involved, causing delays and inefficiencies in addressing asset-related issues such as spoilage, loss, and on-time delivery.
Innovation Solution
Implementing a smart communication network that uses an intelligence engine to create targeted communication groups based on historical user interactions and asset data, ensuring that relevant parties are directly notified and involved in resolving issues, thereby streamlining communication and reducing unnecessary involvement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional supply chain communication methods are used, then all parties in the supply chain are notified of disruptions, but this results in communication clutter and inefficient information dissemination
Solution Approach 1:
The patent segments the supply chain communication network into multiple groups based on asset type, location, and role. Each group receives notifications only when relevant to their specific context, eliminating unnecessary communications while ensuring targeted information reaches the right parties efficiently
Solution Approach 2:
The communication groups are dynamically created and modified based on real-time supply chain conditions, asset locations, and disruption types. The system adapts group compositions automatically, ensuring that communication networks remain optimized as supply chain configurations change
2Reliability
If a 'game of telephone' communication approach is used, then information can reach the source, but this results in unnecessary involvement of intermediate parties and delayed resolution
Solution Approach 1:
The patent introduces an intelligence engine as a mediator that uses machine learning to directly identify and connect parties with information needs to the appropriate sources. This eliminates the need for intermediate relays while maintaining information accuracy through AI-driven routing based on historical interaction data and asset context
Solution Approach 2:
The system pre-establishes communication groups and relationships based on historical data before disruptions occur. When a disruption happens, the pre-configured groups enable immediate direct communication between relevant parties, eliminating the time-consuming search and relay process
3Productivity
If targeted communication groups are created using intelligence engine, then communication efficiency is improved, but this requires processing of historical user interactions and asset data
Solution Approach 1:
The intelligence engine processes and analyzes historical user interaction and asset data in advance to pre-establish communication groups and relationships. This preliminary processing occurs during normal operations rather than during disruptions, distributing the computational energy load and enabling rapid response when needed
Data Source
AI summary
This disclosure describes systems, methods, and devices related to providing smart communication networks using asset information in a supply chain environment. Techniques described herein may relate to collecting real-time asset tracking data for an asset, detecting an event associated with the asset, identifying two or more users to add to a smart communications groups based on historical user interactions and historical tracking data, and creating an asset-centric smart communications groups with the identified two or more users.