Journal of Engineering Research and Reports,
Journal Year:
2023,
Volume and Issue:
25(10), P. 102 - 109
Published: Oct. 28, 2023
In
the
era
of
digital
transformation,
optimizing
supply
chains
is
paramount
for
businesses
to
remain
competitive.
This
research
article
delves
into
creation
an
enhanced
chain
algorithm
ERP
systems
using
Ant
Colony
Optimization
(ACO),
Genetic,
and
Floyd-Warshall
algorithms.
Through
a
comparative
analysis
dummy
data
from
two
companies,
Alco
Palto,
we
demonstrate
efficacy
our
approach.
English
Language-Based
Virtual
Assistants
(ELB-VAs)
are
AI-powered
systems
designed
to
comprehend
and
respond
user
queries
in
the
language,
exemplified
by
virtual
assistants
like
Siri
or
Alexa.
The
need
for
balancing
transparency
privacy
ELB-VAs
is
paramount
due
their
pervasive
integration
into
daily
life.
Ensuring
imbues
trust,
while
safeguarding
addresses
ethical
concerns
associated
with
personal
data.
Existing
methods
involve
clear
policies,
user-controlled
data
sharing
settings,
encryption.
However,
drawbacks
include
confusion
potential
biases.
To
address
these
limitations,
this
study
proposes
a
novel
approach.
Methodologically,
it
integrates
pre-processing
techniques
such
as
lowercasing
tokenization,
coupled
Natural
Language
Understanding
model.
This
model
undergoes
intent
entity
recognition
training,
enhancing
accuracy,
incorporates
privacy-aware
response
generation,
ensuring
informative
yet
privacy-conscious
interactions.
implementation
of
study's
results
carried
out
using
Python
tools,
showcasing
improved
metrics
times.
approach
contributes
more
transparent
privacy-respecting
experience,
aligning
evolving
norms
setting
stage
advancements
ELB-VA
technology.
comprehensive
exploration
bridges
existing
gaps,
emphasizing
imperative
user-centric
AI
interactions
ELB-
VAs.
proposed
NLU
exhibits
substantial
increase
accuracy
compared
other
methods,
an
impressive
value
99.1
%
•
On
average,
outperforms
Random
Forest
Decision
Tree
models
15.7
percentage
points,
highlighting
its
superior
predictive
capabilities
evaluated
task.
aligns
establishes
foundation
future
Journal of Ecohumanism,
Journal Year:
2024,
Volume and Issue:
3(5), P. 216 - 229
Published: Sept. 3, 2024
In
the
much-evolving
digital
age
landscape,
it
is
difficult
to
overlook
artificial
intelligence's
enormous
role
in
people.
This
study
entails
an
empirical
examination
of
impact
AI-powered
chatbots
on
improving
customer
experience,
satisfaction,
and
potential
benefits
era.
was
handled
by
use
quantitative
data
collection
methods
through
online
survey
from
221
users
Palestine.
The
collected
then
analyzed
using
descriptive
statistics
structural
equation
modeling
techniques.
According
results,
shown
that
service
quality
significantly
influenced
intention
customers
or
thus
indirectly
influencing
net
enjoyed
Similarly,
provided
found
influence
them,
chatbots.
Additionally,
user
satisfaction
with
chatbots,
which
users/customers
On
other
hand,
directly
this
regard,
contributed
chatbot's
body
knowledge
Palestinian
context
identifying
factors
era
users’
point
view
capacity
help
transform
business
landscape
Journal of Engineering Research and Reports,
Journal Year:
2023,
Volume and Issue:
25(9), P. 211 - 219
Published: Oct. 16, 2023
This
article
explores
the
transformative
potential
of
Natural
Language
Processing
(NLP)
in
enhancing
Supply
Chain
Management
(SCM)
software.
With
digital
age
ushering
vast
amounts
unstructured
data,
especially
customer
feedback,
there
is
a
pressing
need
for
advanced
analytical
tools.
NLP,
subset
artificial
intelligence,
offers
techniques
such
as
sentiment
analysis,
topic
modeling,
and
text
classification
to
interpret
this
data.
By
integrating
these
techniques,
businesses
can
gain
unparalleled
insights
into
their
supply
chain
operations,
leading
improved
operational
efficiency,
stakeholder
satisfaction,
proactive
issue
management.
The
reviews
studies
across
various
industries,
from
food
delivery
railways,
underscoring
versatility
efficacy
NLP
diverse
contexts.
findings
highlight
NLP's
role
game-changer
SCM,
promising
more
data-driven,
efficient,
customer-centric
landscape.
Journal of Engineering Research and Reports,
Journal Year:
2023,
Volume and Issue:
25(10), P. 102 - 109
Published: Oct. 28, 2023
In
the
era
of
digital
transformation,
optimizing
supply
chains
is
paramount
for
businesses
to
remain
competitive.
This
research
article
delves
into
creation
an
enhanced
chain
algorithm
ERP
systems
using
Ant
Colony
Optimization
(ACO),
Genetic,
and
Floyd-Warshall
algorithms.
Through
a
comparative
analysis
dummy
data
from
two
companies,
Alco
Palto,
we
demonstrate
efficacy
our
approach.
