Intelligent Transport Greener Future 2025
Page 20 of 33 · WEF_Intelligent_Transport_Greener_Future_2025.pdf
Critical actions
needed to embrace
the AI opportunity
Maximizing the power of AI to help decarbonize
freight logistics will take changes in behaviour,
collaboration across the ecosystem and
commitment from business leaders.
4
Behaviour change is key to maximizing the
impact of AI4.1
Despite end-consumers, business customers and
regulators signalling a desire for lower emissions,
the green logistics market remains in its early
stages. Research shows that over 67% of logistics
customers are unwilling to pay more than a 10%
premium for greener options, with only 10% willing
to pay a 20% premium.28 On the corporate side,
internal incentives often need to align more closely
with stated sustainability targets, but as companies
approach deadlines for their net-zero commitments,
we are seeing a gradual shift. The green logistics
market is estimated to grow from $50 billion in
2025 to $350 billion by 2030, indicating a growing
demand for greener solutions.29
What sets AI applications apart from traditional
sustainability strategies is their ability to deliver
results without requiring immediate behavioural shifts from consumers or corporate clients. AI-
driven improvements do not rely on convincing
customers to pay more for sustainable choices.
However, maximizing any AI-powered gains will still
require some mindset and behavioural shifts at the
end-user level.
For example, live recommendations from an
AI-powered truck maintenance system on
braking would still require drivers to change
their behaviour. Similarly, consumers could be
encouraged to play their part by not opting for
same-day delivery for less urgent purchases.
To unlock the full potential of AI, companies
may potentially consider a more drastic rethink.
For example, instead of network optimization,
companies could leverage AI for network
redesign in the long-term. The green
logistics market is
estimated to grow
from $50 billion in
2025 to $350 billion
by 2030.
Intelligent Transport, Greener Future: AI as a Catalyst to Decarbonize Global Logistics
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