Cross-industrySolution
Logistics Control Tower and Freight Visibility
Track every shipment across carriers, modes and borders in one live view, with predicted arrival replacing carrier promises and exceptions raised while there is still time to act.
Solution
Analytics & BI
Industry
Cross-industry
Company Size
Solution Overview
industry
Cross-industry
solution
Analytics & BI
technologies
Microsoft Fabric, Fabric Real-Time Intelligence, Azure Machine Learning, Azure Maps, Power BI, Azure API Management
The Challenge
Freight moves through multiple carriers, modes and forwarders, each with their own portal and their own definition of a status update, so establishing where a shipment actually is requires logging into several systems or emailing someone.
- 1Shipment status spread across carrier and forwarder portals with inconsistent definitions
- 2Carrier estimated arrival times optimistic, so downstream planning rests on dates that will not hold
- 3Delays discovered on non-arrival, when the remaining options are all expensive
Our Approach
CloudGate builds a logistics control tower ingesting carrier, forwarder, telematics and port data into one live shipment view, with machine learning producing an independent predicted arrival rather than relaying the carrier promise.
- Multi-carrier, multi-modal shipment tracking consolidated into one live view
- Independent predicted arrival from telematics, port and historical performance data
- Exception alerting when predicted arrival breaches commitment, while action is still possible
Typical Outcomes
1
LIVE VIEW ACROSS CARRIERS AND MODES
Predicted
ARRIVAL INDEPENDENT OF CARRIER PROMISE
Early
EXCEPTIONS WHILE ACTION IS STILL POSSIBLE
Typical outcomes for this solution pattern, not the results of a named client engagement.
Technologies Used
Microsoft FabricFabric Real-Time IntelligenceAzure Machine LearningAzure MapsPower BIAzure API Management


