How UPS delivers predictive analytics

The global shipping company’s BI and big data analytics platform offers increased visibility and control and the capability to identify patterns and movement across its transportation network. For customers this means foul weather won’t blow critical shipments off course.

UPS truck
REUTERS/Mike Segar (Reuters)

UPS operates in more than 220 countries and territories with more than 1,800 facilities, with a delivery fleet of over 100,000 ground vehicles and over 500 aircraft (both owned and charter). So when the company’s vice president of IT Kim Felix talks about the challenge of building a business intelligence system to manage UPS’s transportation network, you can imagine the size and scale of data she’s dealing with — 8,700 events per second, every second of the day, Felix says.

In a presentation at last month’s CIO 100 event, Felix outlined the challenge she was given: To build something that presented a complete picture of UPS’s network, including integrating several IT systems bringing together these events and data — both structured and unstructured. And to deliver a production system “within 7 months and in front of our peak season.”

The solution: A new platform based on the company’s existing visibility infrastructure that gives UPS a view on the operational side equal to the visibility each individual customer has.

Click play below to watch the full presentation and learn more about how UPS is changing the customer conversation with predictive analytics.

This story, "How UPS delivers predictive analytics " was originally published by CIO.

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