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Welcome to this presentation
about artificial intelligence,
inventory management,
aligned with
sustainable operations
and monitoring policies.
My name is Antonio Pesqueira.
I'm affiliated with ISCTE
University of Lisbon,
and also with an
organization called DCOPI,
that is the Dynamic Capabilities
Operational Institute
that mainly does research
and also activities
around inventory and supply
chain management strategy.
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I'm an expert in life sciences,
healthcare operations, and
supply chain management.
My specialization goes
in terms of implementing
advanced digital technologies
like AI and blockchain.
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This talk will be about
three major changes affecting
inventory management.
Those major changes are
artificial intelligence,
sustainability, and real-time
policy intelligence.
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When we start thinking
regarding inventory management,
sustainability, and
policy monitoring,
it's important to understand
first how these concepts
work all together,
and especially when
we start combining
AI into the mix.
Companies' boards, right now,
are asking for two major things.
That first, money
needs to be released
at the same time,
and that carbon be
reduced as well.
That combination most of
the times can be
extremely complex.
Meaning, combining the
carbon emissions reduction
with the reduction on the costs.
That makes that combination
extremely challenging.
But AI can make it easier
to reach certain
levels of efficiency.
That's why we
believe the time of
the single factor forecasting,
for example, might be over,
because some of the
current examples
that we have as of
today are examples of
hospitals starting
inventory management tasks
with order history data,
and they monitor and manage
consumption patterns versus
the transactional patterns,
which gives those hospitals
the visibility end-to-end
of the entire process.
Because they are able to go into
refilling decisions
that are more aligned,
with automated counts
and defaulting when needed
to suppliers that are
more effective in
sustainable operations
and actually identifying
clear patterns of efficiency.
But also now, with
more advanced sensors
