Too much paperwork
Sequence Number
5
Industry
Logistics
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How 5G enabled
Collecting all relevant data in a storage and use reporting/AI/etc. to make end-to-end procedures.
Data Flows
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Devices
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Description
- Sensors and input devices required to collect relevant data
- Where needed, add sensors to collect more data
- Interfaces to more systems
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Connectivity
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Description
- All data collected to be transmitted to cloud
- Critical data and AI processing at the Edge compute
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Edge Compute
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Description
- Data collected required for real-time processing, hence the importance of 5G
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Cloud Compute & Storage
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Description
- All data is stored in enterprise data storage, where data ownership belongs to the company
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Applications & Services
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Description
- AI activities applied on historical data to improve planning and operations
- New models deployed back to Edge for automated alerts
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Inform Decision Makers
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Description
- Alert operations only in the cases of exceptions
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Support Decision Making
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Description
Application Logic
Description
- Identify relevant data sources required and sensors required for data collection.
- Sensors could be of such as cameras or scanners to automate data collection.
- Define and implement E2E business workflows to stop and minimise paper flows.
Description
- Integrate data and determine storage location (edge and/or cloud storage), and also evaluate:
- Automation of flow of information
- Methods to link data sources
- Methods to integrate use of mobile devices with rest of information flow
- Advantages that 5G-Edge could provide
- Based on all data collected, the flow of information is created.
Description
- Based on the flow of information, AI (ML/MV) models to be developed.
- Right SME expertise together with data scientists required to build a proper model.
- Incremental approach – start with simple tasks and expand over time.
Expected benefits
- Improve productivity by reducing data entry work
- Accurate information collection
- Data collection in real-time enabling immediate action
Key value created
- Increased work efficiency