AI in transportation reduces employee workloads

How a transportation company used Intelligent Automation to reduce paperwork

The transportation industry is loaded with paperwork.

A few years ago, Polaris, a Canada and U.S. cross-border transport company (not to be confused with the snowmobile maker) struggled to keep up with all its paperwork. It suffered from slow turnaround times and had difficulty ingesting the many different document types its diverse clientele sent in.

AI in transportation

So, Polaris’ executives decided to use intelligent process automation, a form of robotic process automation (RPA), still not widely used in the transportation industry, to more quickly and cheaply ingest flow administrative documents. They decided to use technology from intelligent automation vendor WorkFusion.

Now, using RPA and machine learning technology from WorkFusion and in-house teams, Polaris automates about 80% of the customs clearance document workflow, with over 100 bots working the front and back ends.

“In our customs process, we had about 22 people touching that process,” Brajkovich said. “We now have about two and a half to three people at most, managing only exceptions.”

Even as Polaris was able to transition to remote work during the pandemic, many other businesses that did not use automation couldn’t. COVID-19 pushed many organizations to use automated tools, said Forrester analyst Craig Le Clair, who also took part in the roundtable.

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