An average shipment emits tens of thousands of sensor and third-party data points. Our customers have hundreds of lanes that contain thousands of shipments per day.
Dots on a map and streaming temperature data are nice, but they fail to tell us what action needs to be taken, limiting visibility program ROI.
Manually extracting patterns, trends and insights is not scalable or optimal – the process must be automated, and it must be self-learning.
Whether it’s a delayed shipment or a temperature excursion, reacting to OTIF excursions puts products at risk, reduces operational efficiencies and strains customer relationships.
If you don't know what's causing your historical excursions, it's impossible to identify and predict when, where and how they'll strike again.
Visibility should not be about responding to alerts and alarms. Action what matters and leave the rest.
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