Connected Logistics Platform Role-Based Data Access
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Solution Overview
Problem
The logistics industry faces challenges in integrating and sharing data across various stakeholders, such as carriers, hub operators, and service providers, due to the difficulty in integrating their unique systems and the need to protect sensitive information.
Innovation Solution
A platform that uses geofencing and telematics data to provide real-time logistics information, allowing selected stakeholders to access relevant data while ensuring data privacy, and integrates user roles into a cloud-based application for efficient data sharing and management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If stakeholders integrate their unique logistics systems to share data, then information sharing and logistics efficiency improve, but system complexity and integration difficulty increase
Solution Approach 1:
The patent implements a centralized data exchange platform that acts as an intermediary between different stakeholders (carriers, hub operators, service providers). This platform uses standardized APIs and protocols to facilitate data sharing without requiring direct integration between each stakeholder's systems, thereby reducing overall system complexity while enabling comprehensive information exchange.
Solution Approach 2:
The system employs a universal data exchange framework that can handle multiple types of logistics data (telematics, hub operations, traffic information) through a single integrated platform. This multi-functional approach allows different stakeholders with unique systems to connect through common standards, improving data sharing without proportionally increasing integration complexity.
2Productivity
If stakeholders share sensitive logistics information, then operational efficiency improves, but data security and privacy protection become concerns
Solution Approach 1:
The patent implements role-based access control that provides different levels of data access to different stakeholders based on their specific needs and authorization. For example, carriers can access their own telematics data and relevant hub information, while hub operators can access vehicle scheduling data but not sensitive carrier commercial information. This localized data sharing approach enables operational efficiency while protecting sensitive information through differentiated access permissions.
3Loss of time
If real-time telematics data is monitored and shared across the logistics network, then traffic management and delay reduction improve, but data transmission requirements and system resource consumption increase
Solution Approach 1:
The system implements periodic data transmission where telematics information is updated and shared at scheduled intervals rather than continuously in real-time. This approach maintains sufficient operational efficiency by providing timely data for traffic management and delay reduction while significantly reducing data transmission frequency and associated energy consumption compared to continuous real-time monitoring.
Data Source
AI summary
A connected logistics platform is provided to integrate data from various logistics sources. The platform can provide rule-based messaging and/or tracking. The platform can also provide selective access to the integrated data based on user role profile. Related system, method, apparatus, and non-transitory computer readable medium are also provided.