Page 8 - Savoye PR Report - April 2025

Role of digital twin tech in optimising intra-logistics
comprehensive view of logistics activities. Companies can leverage this technology to
simulate various scenarios, predict potential disruptions, and make important data-
driven decisions.

Streamlining operations across the supply

chain

Within the intra-logistics sector in particular, digital twins play a critical role in

warehouse management, inventory tracking, order fulfilment, and automated systems.
Moreover, by utilising its ability to visualise and analyse real-time data, businesses can
streamline their operations, enhance productivity, and minimise inefficiencies.

Presently, the supply chain sector is being shaped by several dynamic factors, such as

consumer demand for low-priced products delivered via fast-and-free shipping, rising
wages for manufacturing, warehouse, and delivery employees, and lack of insights into
probable future macroeconomic disruptions. In such a scenario, organisations that fail
to realign their supply chain operations might not be able to find enduring success in

this highly volatile sector. Hence, forward-looking players are already implementing
requisite changes to ensure their supply chains remain flexible, agile, and responsive

enough to overcome unforeseen disruptions.

As part of this progressive strategy, several leading organisations are adopting digital
twins to optimise their operations, plan potential scenarios, and enhance decision-
making. This is further reflected in a recent market analysis report by McKinsey, which
indicated that the global market for digital twins will grow by around 30-40% annually

in the next few years, reaching $125 billion to USD 150 billion by 2032.

End-to-end logistics overview

One of the most remarkable features of digital twin technology is its ability to provide a
comprehensive, real-time, end-to-end view of logistics operations. Furthermore, digital

twins leverage AI-driven predictive analytics, enabling logistics operators to anticipate
potential delays, equipment failures, or fluctuations in demand. This further empowers
businesses to take proactive measures, such as adjusting inventory levels, reallocating

resources, or scheduling maintenance to prevent disruptions before they occur. In
addition, as logistics facilities become more automated, digital twin technology can
ensure smooth integration between robotic systems, automated storage solutions, and

conveyor networks. Businesses can also optimise automation processes, reduce errors,
and improve overall warehouse efficiency by simulating different workflow scenarios.

Harnessing the advanced capabilities of digital twin technology, logistics managers can
test multiple strategies in a risk-free virtual environment before implementing them in

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