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FrontusedbyUber Freight

How Uber Freight uses Front

ConfirmedVendor case study · Checked Nov 13, 2026
View captured proof

The use case: how Uber Freight deploys Front

Uber Freight's operations and support teams use Front as a shared inbox and collaboration platform, replacing Outlook and Microsoft Teams. They use it to handle communication with customers, carriers, and receivers, and to apply rules, routing, SLA management, and analytics.

More reported results

Figures published in Front’s case study. They are not independently measured by usedby.

1,200 users

Following the pilot, they scaled the platform to 1,200 users in six months, using two-week sprints orchestrated by just two program managers.

250 users

“I was able to launch Front to our first 250 users in just three weeks,” says Jordan.

In the customer’s words

Having collaboration, communication, and tasks all in Front makes everything faster and more efficient
Jordan Dunn, Senior Manager, Strategic Customer Success, Uber Freight — Source

Other AI tools used by Uber Freight

Other public relationships recorded on usedby.

GongConfirmedSmartlyConfirmedDatadogObservedQualifiedObservedhireEZObserved
Explore Uber Freight’s AI stack

Front users in Logistics & Supply Chain

Companies in the same sector, with public evidence.

Echo Global LogisticsConfirmed
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More stories

Go straight to the source

Based on Front’s published case study. We check the public evidence; the results are reported by the vendor.

front.com
Source published
Jan 10, 2025
Last checked
Nov 13, 2026
front.comCaptured Front case study about Uber FreightOpen source capture
What the story claims, and what we checked

What we compared with the page.

  • The figure: 50%Checked

    Printed word for word on the page, near the name of Uber Freight.

  • The passage quoted aboveChecked

    Copied word for word from the page, near the name of Uber Freight.

  • The publication dateChecked

    Read from the page’s own metadata, never guessed.

  • Uber Freight uses FrontChecked

    Confirmed line.

  • The result itselfNot checked

    We quote it; we did not measure it.

During the initial pilot phase, they reduced reply time from just over three hours to under 1.5 hours — a remarkable improvement achieved through auto-assignment, tagging, and auto-archiving.
From the page. front.com