Ping.AI enables access to data visualisations, analytics and reporting so organisations know what is happening, where and why. The analytics platform highlights patterns and trends that can be harnessed to improve inventory networks, fleet and asset management, inventory production.
Ping.AI
A fully dynamic reporting and analytics feature that collects,
cleans, processes and delivers insights to IoT networks.
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Daily Dwell per location
AI Inferred location dwell time of an asset (IoT Device). We can confirm shock and temperature data with respect to the relationship between location and dwell accuracy.
Inter-Location Movements
An aggregation of movements between either known, AI-generated or both known and AI-generated locations, covering distance, air distance and time between locations. Again, data validation is required
Fleet Dwell Per Location
This is a snapshot of the entire fleet of devices and the dwell per location. Similarly to the daily dwell, we try and verify dwell across a number of other locations within the customer network
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Movement & Routing
Movements across the fleet of devices and routing data, historical and predictive.
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AI Detected Hotspots
This is an AI location generating tool to infer locations of interest or significance to reporting.These hotspots are generated based on a number of variables which require validation
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Shock Event Network
An aggregation of AI detected hot spots and location events, helps enterprises map shock events and risks across their supply chain network.
