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Case Study
Bicycle Transit Systems

“With Loom we are now more confident, that as we grow, we can detect and resolve issues, in real-time, while keeping our business unaffected”

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Based in Philadelphia, PA, Bicycle Transit Systems is a
bike share system with citywide programs in Los
Angeles, Las Vegas, Oklahoma City, and Philadelphia.

With interfaces between equipment providers, clients
in the municipal, business, and institutional sector,
and customers, not to mention a distributed
workforce spanning multiple office locations, Bicycle
Transit Systems hosts all of its corporate data in the
cloud - with no physical IT footprint. That rising IT
complexity increasingly led to issues that impacted
their services.

Bicycle Transit Systems had its eye on new cities and wanted to feel confident about system stability before approaching new cities. With so many stakeholders on their platform and data on over one
million bicycle rides across four cities, Bicycle Transit
Systems approached Loom to monitor key
performance criteria and get to the root cause of
system errors and inefficiencies in real time.

With zero configuration or maintenance of the IT stack, Loom represented a low-cost and low-complexity option to start leveraging operational analytics.

True to form, Loom enabled Bicycle Transit Systems' IT team to predict events and issues before they escalated and reduced their impact on the day-to-day business. “The efficiency of the machine learning in Loom detects issues across environments and applications to give us full visibility of our digital environment, and provide us with the root-cause of problems in the most simple and comprehensive way,” said Tim McGraw, IT Director, Bicycle Transit Systems. “With Loom we are now more confident, that as we grow, we can detect and resolve issues, in real-time, while keeping our business unaffected.” 

The Company | Bicycle Transit Systems

Location | Los Angeles, Las Vegas, Oklahoma,
Philadelphia

Service | +1M bicycle rides a month

Challenge | Monitor a distributed environment in
real-time and proactively solve issues before
affecting the riders

Solution | Monitor key performance criteria, with
Loom, and get to the root cause of system errors
and inefficiencies in real time.

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