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https://www.wsj.com/articles/truck-drivers-bear-big-burden-on-data-collection-some-companies-want-to-change-that-37fe8324

 1. CIO Journal


TRUCK DRIVERS BEAR BIG BURDEN ON DATA COLLECTION. SOME COMPANIES WANT TO CHANGE
THAT.


ESTES EXPRESS LINES IS LOOKING TO AUTOMATE MORE DATA COLLECTION AND STREAMLINE
DATA SHARING TO REDUCE THE BURDEN ON TRUCKERS AND DOCKWORKERS TO TRACK GOODS

By

Isabelle Bousquette


April 26, 2023 9:00 am ET

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Former truck driver Darren Suarez is terminal manager at Estes Express Lines’
Pine Brook loading dock in New Jersey. Photo: Isabelle Bousquette

Being a truck driver in the 1980s was terrible. Just ask former driver Darren
Suarez, who spent years perched in boiling hot cabs with no air conditioning and
only crank-down windows. But it wasn’t just the discomfort: The paperwork was
voluminous. Mr. Suarez recalls how he would have to write down information about
shipment sizes and pickup times at red lights, scribbling so quickly that his
notes were often unreadable even to himself.

Truck cabs today typically have air conditioning, and a lot else has changed
since then, but one thing hasn’t: Drivers are still tasked with collecting and
keeping track of detailed shipment data for logistics companies. And although
that process has transitioned from paper to digital via app, drivers still bear
the brunt of that burden—and it is one of the modern supply chain’s major
inefficiencies. 

“Every time I go out on a terminal visit, I will have at least one driver or one
dockworker look at me and refer to themselves as having sausage fingers,” said
Estes Express Lines Chief Information Officer Todd Florence. “They didn’t sign
on to want to be a data-entry clerk. It’s frustrating for them.”

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Now the trucking industry’s digital evolution may be at a tipping point, driven
by the rise in e-commerce, the supply-chain challenges laid bare during the
pandemic and customer demand for more real-time tracking, among other forces.
Some CIOs are looking to reduce the amount of tedious and repetitive data
collection drivers are doing by better integrating data from other company
systems, tapping better software and investing in automated data-collecting
devices like cameras and sensors. The upshot, Mr. Florence said, could be more
accurate and more real-time data.

For Richmond, Va.-based Estes and other trucking companies, real-time data is
increasingly vital to optimizing operations and planning pickups, deliveries and
driver assignments most efficiently—as well as providing greater visibility to
customers. 

“Frankly it just comes down to: If you don’t have the data, you’re not going to
get the customer,” said Avery Vise, a vice president at freight research firm
FTR Transportation Intelligence. 

Still, the system at many companies is far from optimal. In most cases, drivers
and dockworkers are typing in information, taking pictures and scanning bar
codes throughout a package’s life cycle, said Mr. Florence. Sometimes they are
inputting the same information over and over in multiple formats—and the data
may already exist in other company systems, Mr. Florence said. The process is
prone to errors and frustrating for employees, added the CIO, whose company is
the largest privately held freight transportation company in North America.

Here are some of the ways Estes, which employs more than 10,000 drivers and
makes roughly 50,000 deliveries a day, is working to automate its system and
solve tracking problems:


STREAMLINE DATA SHARING

Estes Express Lines truck driver Juan Gonzalez shows the app used for keeping
track of detailed shipment data. Photo: Isabelle Bousquette

Breaking down silos between data in different company systems could be one
solution, Mr. Florence said. If all the information about a given piece of
freight—including information collected by drivers, tracked by office workers
and sent in directly from customers—flowed into one single location, there would
be less need to collect data that the company may already have elsewhere.

To make that a reality, Mr. Florence said he has built a digital twin, which
acts as a virtual representation of each piece of freight passing through the
network, and can function as that single location. The platform was built
leveraging data-management platform Denodo as the foundation, he said.

Building out the platform meant that, for example, when a customer inputs
information about freight, the driver won’t separately have to upload all the
same information when picking it up. So far the company said it has internal
savings of about 10% in infrastructure and labor costs by eliminating the need
to duplicate or store data across multiple platforms. It is continuing to scale
out the platform across the company.

Advertisement - Scroll to Continue




DIGITIZE DATA FASTER

Better software also could help lighten the burden, Mr. Florence said.

Typically when freight is picked up, the customer provides a bill of lading,
which contains the complete address of the shipper and consignee, number of
pieces, description, weight and other key information. It is still industry
standard for this bill to be a physical piece of paper, said Evan Armstrong,
president of Armstrong & Associates Inc., a logistics-industry research group.

Mr. Florence said the company is now working to roll out a system where drivers
would be able to just take a photo of the bill and upload it—rather than typing
in each piece of information into the app. As the system rolls out, back-end
employees are looking at the photo and doing the manual data input themselves,
Mr. Florence said.




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But the ultimate goal is to leverage optical character recognition, or OCR,
technology and artificial intelligence to automate that process.

Using OCR and AI on the bill of lading would be much more challenging than on
standardized forms, such as checks, since each customer can format its bill of
lading in its own unique way as there is no clear industry standard, Mr.
Florence said.

“So we want to get to a point where we’re extracting that data out of the image
for those customers so that my driver doesn’t have to enter it in,” said Mr.
Florence.

Automate data collection

Mr. Florence also is looking for more automated ways to collect data, such as
cameras and sensors. For example, in the Estes Pine Brook loading dock in New
Jersey, there are ground sensors that automatically collect information on tire
pressure as tires run over them—a task that was previously manual, performed
with tire pressure gauges or other instruments.

“We used to kick them,” said Mr. Suarez, who is now retired from driving and
works as the terminal manager at Estes’s Pine Brook loading dock.

SHARE YOUR THOUGHTS

Who does your company rely on to collect data, and could those processes be more
efficient? Join the conversation below.

GPS and telematics data, mounted cameras and other devices on trailers also have
provided information that drivers used to have to manually keep track of,
including hours of work and locations, said Kyle Perillo, operations manager at
Estes.

According to Mr. Vise, companies have the opportunity to leverage devices like
sensors more than they already do to automate more data collection. For example,
he said, at the moment, drivers typically need to signal when they have made a
delivery, but using cameras or sensors could allow for automatic signals about
the movement of that freight. However, Mr. Vise said he doesn’t know of any
companies doing that, and scaled-out deployment of such solutions are likely
further in the future.

Despite challenges, the transformation at Estes is ongoing, according to Mr.
Florence. He also said he expects a big payoff given the tens of thousands of
deliveries a day. “If I only save my city driver two minutes per pickup a
day…that’s a lot of time. And that’s a lot of dollars.”

Write to Isabelle Bousquette at isabelle.bousquette@wsj.com

Copyright ©2023 Dow Jones & Company, Inc. All Rights Reserved.
87990cbe856818d5eddac44c7b1cdeb8

Appeared in the April 27, 2023, print edition as 'Truck Drivers Bear
Data-Collection Burden'.

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