Quantum maximizes capacity, translating it
into time and cost savings; solution produces industry-specific
analyses in seconds
BLUE
BELL, Pa., Oct. 16, 2023 /PRNewswire/ -- Unisys
(NYSE: UIS) has unveiled Unisys Logistics Optimization™, a new
quantum-powered solution designed to help organizations solve
complex logistics optimization challenges in seconds. As logistics
costs continue to rise, companies are urgently trying to redefine
the shipping process to improve the customer experience, decrease
their costs and drive additional incremental revenue. This is
where Unisys Logistics Optimization™ steps in. Populated with
industry-specific insights, the solution leverages a combination of
quantum computing, advanced analytics and artificial intelligence
(AI) to drive business outcomes.
The company will debut Unisys Logistics Optimization™ during a
virtual launch event on October 17,
2023, and anyone interested in attending is encouraged to
register in advance. Those who attend will have the opportunity to
see a demonstration of the solution and hear from industry leaders
such as from global analyst firm IDC and trade publication
FreightWaves.
Unisys Logistics Optimization™ uses pre-trained models to
generate answers to complex queries in seconds. This
represents a substantial leap forward, as this rapid turnaround was
not possible previously. Traditional computational tools would
require years to collect and learn from operational data to produce
similar results. The solution provides logistics companies, such as
air cargo carriers, with an optimal plan for packing, storing and
routing shipments across multiple vehicles more efficiently and
cost-effectively.
Piloting the new solution in pursuit of its next breakthrough in
logistics optimization is Malaysia Aviation Group's (MAG) cargo
arm, MAB Kargo Sdn Bhd (MASkargo), which serves nearly 100
destinations worldwide. Currently, the airline's flight planners
spend a significant amount of time manually selecting and assigning
each shipment to unit load devices (ULDs), resulting in high
operational overhead. Unisys will implement a secure and reliable
solution that provides MASkargo flight planners with a graphic
cargo plan tailored to maximize their cargo capacity, profitability
and ability to manage priority shipments that meet customer
expectations.
"MASkargo is continuously seeking ways to enhance efficiency,
improving the customer experience and touchpoints," commented
Mark Jason Thomas, CEO of MASkargo.
"Our collaboration with Unisys represents part of MASkargo's
digitalization journey by employing the use of quantum computing,
artificial intelligence and machine learning to optimize processes,
supporting network planning, and ensuring reliable, clear
communication of accurate information."
Unisys has an extensive track record of serving and innovating
for logistics and transportation companies for more than 30 years,
putting the company in a unique position to offer a wealth of
industry expertise. Unlike other solutions in the market, Unisys
Logistics Optimization™ does not require any additional data
training to begin deployment, and it does not upend existing IT
infrastructure or operations – providing immediate and ongoing
value to clients as its accuracy self-improves over time through
daily use, so it is never out of date.
"Containing logistics costs is mission critical, and companies
are seeking solutions that will meet that important need," said
Chris Arrasmith, senior vice
president, Enterprise Computing Solutions at Unisys. "We have built
true operational foresight by integrating advanced analytics,
reinforced machine learning, and the best of classical and new
quantum computing architectures, enabling us to drive value in near
real-time for clients."
Unisys Logistics Optimization™ is built for air cargo, ground
handlers and freight forwarders and is designed to help logistics
companies optimize in three ways:
- Capacity: The solution evaluates loading strategies
for companies by predicting and prescribing scenarios for pallet
and ULD builds, allowing for more day-of shipment departures. It
also helps identify opportunities for additional carrier revenue by
detecting unused space.
- Inventory: The solution can predict and prescribe
locations and packaging requirements on inventory, as well as
amounts of inventory and freight sensitivity. This reduces packing
and build times, minimizing freight damage or spoilage, preventing
costly claims.
- Routing: The solution evaluates all potential
routes and incorporates dynamic data sets, such as weather and
travel times, to optimize and identify ideal outbound and reverse
logistics routes.
To learn more about Unisys Logistics Optimization™ and to sign
up for the virtual launch, click here.
About Unisys
Unisys is a global technology solutions company that powers
breakthroughs for the world's leading organizations. Our solutions
– digital workplace; cloud, applications & infrastructure;
enterprise computing; and business process – help our clients
challenge the status quo and create new possibilities. To learn how
we deliver breakthroughs for our clients – and have been pushing
the possible for 150 years – visit unisys.com and follow
us on LinkedIn. #Unisys150.
About MASkargo
MAB Kargo Sdn Bhd (MASkargo) is the air cargo arm and subsidiary
of the Malaysia Aviation Group (MAG), a global aviation
organisation comprising three focused business portfolios from
Airlines, Loyalty and Travel Solutions (LTS) and Aviation Services.
MASkargo operates three A330-200F freighters from its home base in
the Kuala Lumpur International
Airport. MASkargo offers a range of services in the air logistics
trade, including belly space capacity, which serves almost 100
destinations worldwide as well as warehouse facilities in KLIA,
Penang International Airport,
Kuching International Airport and Kota Kinabalu International
Airport.
RELEASE NO.: 1016/9924
Unisys and other Unisys products and services mentioned herein, as
well as their respective logos, are trademarks or registered
trademarks of Unisys Corporation. Any other brand or product
referenced herein is acknowledged to be a trademark or registered
trademark of its respective holder.
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SOURCE Unisys Corporation