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PARK, Calif., Feb. 22,
2024 /PRNewswire/ -- Cyngn Inc. (the "Company"
or "Cyngn") (Nasdaq: CYN), today announced results from its
customer deployment with U.S. Continental ("USC"). With a sprawling 100,000-square-foot
factory, USC stands as a leading
private label leather and fabric care company. USC has become the trusted partner for leading
brands like Michael Kors, Birkenstock, and Monster Energy that seek
top-tier commercial packaging and private label care product
services. USC has enjoyed tremendous
growth over the three decades it's been in business. In that time,
the company has become familiar with the hurdles intrinsic to
manufacturing and distribution: supply chain disruptions, soaring
labor costs, and the relentless pursuit of operational
efficiency.
Download the full case study here.
Enter Cyngn and its Enterprise Autonomy Suite ("EAS") to offer
self-driving industrial vehicles with the AI-powered DriveMod tech
stack, introducing novel data and analytics about how things move
at customer sites. DriveMod Stockchasers began transporting pallets
around USC's Corona, California facility in early 2023,
doing supply runs between two buildings. Over several months of
operation, Cyngn's self-driving vehicles enhanced operational
speed, fostered organizational precision, and delivered substantial
cost savings. The DriveMod Stockchasers have produced 4x efficiency
gain, and the introduction of EAS even enabled a former forklift
operator's promotion. This success led to USC recently renewing its commercial contract to
extend its deployment of DriveMod Stockchasers.
Approach
Deploying DriveMod-powered vehicles at U.S. Continental,
involved a simple set of steps:
- Conduct a site assessment. First, Cyngn's customer
success team worked with USC's
operations managers to obtain a thorough understanding of process
flows and goals. In parallel, Cyngn's field engineers surveyed
USC's facility to document the
operational design domain ("ODD") including the lighting, lane
widths, and types of obstacles the vehicles could encounter. From
this, Cyngn was able to identify transporting pallets from the
inventory warehouse to the production facility as the optimal use
case for the deployment.
- Build the map. In order for an AV to operate, it must
know where it is within its environment. Cyngn scanned USC's facility to create a detailed 3D
representation of the physical world. DriveMod vehicles use this
localization map to safely navigate within the environment with
centimeter-level accuracy, which is achieved from the onboard
vehicle computer and doesn't require constant internet connection
or special infrastructure installations.
- Design the application. Once the map was created,
Cyngn worked with management on application design, which
included the routes the vehicle would take, the stops where pallets
would be loaded and unloaded onto the vehicle, how employees would
interact with the vehicles, and permissible driving zones and other
operating rules.
- Train key personnel. Finally, before the vehicle
was let loose with full autonomous operation, Cyngn trained
USC employees on safe use of the
vehicle and the various interfaces available to interact with the
vehicles and data dashboards. Finally, the vehicle was seamlessly
integrated into daily workflows.
Curious to see our bring-up process in action? Watch it
here.
While this process seems complex, it is standard operating
procedure for a robotics company like Cyngn. The company recently
brought up a deployment at a 1 million square foot manufacturing
facility in less than 10 days.
Throughout the deployment period, the vehicle continuously
collected data on vehicle usage and labor productivity in
real-time. This data was used both to effectively monitor the
vehicle's performance as well as to eventually calculate cost
savings.
Results
Since kicking off the deployment at USC in early 2023, the Autonomous DriveMod
Stockchasers produced:
- 4x Gains in Efficiency. Previously, a substantial human
effort of 200 trips per week was required to fulfill pallet
delivery between the two buildings at USC. After the introduction of DriveMod
Stockchasers, this workload has been seamlessly absorbed. Cyngn's
vehicles surpass traditional manual labor, as they can transport
four pallets in a single trip, as opposed to one pallet at a time
that was being accomplished with a forklift. This not only
multiplies efficiency, but also allows for labor to be reallocated
to other more valuable tasks, such as order picking and
pulling.
- Reallocation of Labor. Beyond operational enhancements,
the adoption of EAS and DriveMod has sparked positive developments
in USC's workforce. Opportunities for
employee growth within the company have emerged, leading to
promotions and role reallocations. Employees are now exposed to
more digital interfaces and empowered to take on different
responsibilities, contributing to a more versatile and skilled
workforce. Importantly, this evolution in job roles highlights that
autonomy is more about task reallocation and the creation of new
opportunities than job displacement.
- Increased Organizational Precision. Teams working
directly with the autonomous robots revised their workflows to
better align with the vehicles' predictable schedules. This simple
change made a big difference, reducing variability, boosting
overall efficiency, and making it easier to train new
employees.
About Cyngn
Cyngn develops and deploys scalable,
differentiated autonomous vehicle technology for industrial
organizations. Cyngn's self-driving solutions allow existing
workforces to increase productivity and efficiency. The Company
addresses significant challenges facing industrial organizations
today, such as labor shortages, costly safety incidents, and
increased consumer demand for eCommerce.
Cyngn's DriveMod Kit can be installed on new industrial vehicles
at end of line or via retrofit, empowering customers to seamlessly
adopt self-driving technology into their operations without high
upfront costs or the need to completely replace existing vehicle
investments.
Cyngn's flagship product, its Enterprise Autonomy Suite,
includes DriveMod (autonomous vehicle system), Cyngn Insight
(customer-facing suite of AV fleet management, teleoperation, and
analytics tools), and Cyngn Evolve (internal toolkit that enables
Cyngn to leverage data from the field for artificial intelligence,
simulation, and modeling).
Find Cyngn on:
- Website: https://cyngn.com
- Twitter: https://twitter.com/cyngn
- LinkedIn: https://www.linkedin.com/company/cyngn
- YouTube: https://www.youtube.com/@cyngnhq
Investor/Media Contact: Bill
Ong, bill@cyngn.com; 650-204-1551
Forward-Looking Statements
This press release contains forward-looking statements within
the meaning of the Private Securities Litigation Reform Act of
1995, Section 27A of the Securities Act of 1933, as amended, and
Section 21E of the Securities Exchange Act of 1934, as amended. Any
statement that is not historical in nature is a forward-looking
statement and may be identified by the use of words and phrases
such as "expects," "anticipates," "believes," "will," "will likely
result," "will continue," "plans to," "potential," "promising," and
similar expressions. These statements are based on management's
current expectations and beliefs and are subject to a number of
risks, uncertainties and assumptions that could cause actual
results to differ materially from those described in the
forward-looking statements, including the risk factors described
from time to time in the Company's reports to the SEC, including,
without limitation the risk factors discussed in the Company's
annual report on Form 10-K filed with the SEC on March 17, 2023. Readers are cautioned that it is
not possible to predict or identify all the risks, uncertainties
and other factors that may affect future results No forward-looking
statement can be guaranteed, and actual results may differ
materially from those projected. Cyngn undertakes no obligation to
publicly update any forward-looking statement, whether as a result
of new information, future events, or otherwise.
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SOURCE Cyngn