Transforming Sourcing and Supply Chain Management: The Evolution of AI Agents in Modern Procurement
International Journal of Scientific Research in Computer Science Engineering and Information Technology,
Год журнала:
2025,
Номер
11(1), С. 1219 - 1226
Опубликована: Янв. 28, 2025
This
article
examines
the
transformative
impact
of
artificial
intelligence
and
machine
learning
technologies
on
procurement
supply
chain
management
practices.
The
shows
how
AI
agents
are
revolutionizing
traditional
processes
through
advanced
data
analytics,
automated
decision-making,
predictive
capabilities.
By
analyzing
implementations
across
manufacturing,
retail,
technology
sectors,
research
demonstrates
AI-powered
solutions
addressing
longstanding
challenges
in
supplier
selection,
demand
forecasting,
contract
management,
risk
mitigation.
explores
evolution
from
manual
to
AI-driven
processes,
highlighting
improvements
operational
efficiency,
cost
optimization,
strategic
decision-making.
Furthermore,
it
integration
emerging
like
blockchain
smart
contracts
systems,
while
considering
critical
implementation
such
as
privacy,
legacy
system
integration,
skill
gaps.
provides
comprehensive
insights
into
organizations
leveraging
transform
a
purely
function
driver
business
value,
also
growing
importance
sustainable
ethical
practices
modern
landscape.
Язык: Английский
Foundations of Autonomous Cyber Defense Systems
Advances in computational intelligence and robotics book series,
Год журнала:
2025,
Номер
unknown, С. 1 - 34
Опубликована: Апрель 23, 2025
Traditional
cybersecurity
methods
are
becoming
inadequate
due
to
the
growing
complexity
and
frequency
of
cyber
threats.
This
chapter
explores
autonomous
defense
systems—self-sustaining,
intelligent
frameworks
that
detect,
analyze,
respond
threats
in
real
time
without
human
intervention.
Leveraging
AI,
Machine
Learning,
Reinforcement
NLP,
Explainable
these
systems
enable
adaptive
scalable
security
operations.
The
analyzes
system
architectures
across
varying
autonomy
levels—human-in-the-loop,
on-the-loop,
out-of-the-loop—and
discusses
enabling
technologies
such
as
Cyber
Threat
Intelligence.
It
reviews
modern
including
zero-day
exploits,
AI-driven
malware,
APTs,
highlighting
advantages
resilience
responsiveness.
Practical
frameworks,
deployment
strategies,
real-world
case
studies
presented
with
performance
ethical
evaluation.
concludes
future
directions
quantum-resilient
sustainable
strategies.
Язык: Английский
AI-POWERED INNOVATION IN DEPARTMENTAL STORES: A STUDY OF ITS INFLUENCE ON CUSTOMER EXPERIENCE, EFFICIENCY, AND BUSINESS GROWTH
Kushal Desai .,
Meetal Mehta
ShodhKosh Journal of Visual and Performing Arts,
Год журнала:
2024,
Номер
5(7)
Опубликована: Июль 31, 2024
Several
industries
are
changing
as
a
result
of
AI-driven
innovation
that
improves
efficiency,
sustainability,
and
decision
making.
This
shift
is
occurring
in
East
Government,
Robotics,
workplaces,
industry
mobile
networks.
AI’s
capacity
to
automate
processes,
optimized
resources,
stimulate
creativity
primarily
responsible
for
these
advancements.
The
retail
business
has
seen
thanks
artificial
intelligence
(AI),
which
created
new
potential
continuous
service
delivery,
quality
improvement,
personalization.
research
papers
goal
assess
AI
powered
department
stores
how
it
affects
consumer
satisfaction,
productivity,
company
expansion.
present
study
used
structural
equation
modelling
its
methodology.
study’s
conclusions
showed
the
integration
major
effect
on
customer
expansion,
efficiency.
Язык: Английский