THE EVOLUTION OF MODERN CRM SYSTEMS: A TECHNICAL DEEP DIVE
INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING & TECHNOLOGY,
Год журнала:
2025,
Номер
16(1), С. 717 - 733
Опубликована: Янв. 17, 2025
This
technical
article
explores
the
transformative
evolution
of
Customer
Relationship
Management
(CRM)
systems,
examining
their
progression
from
traditional
database-driven
platforms
to
sophisticated,
AI-enabled
ecosystems.It
investigates
key
technological
advancements
including
artificial
intelligence
and
machine
learning
integration,
omnichannel
architecture
implementation,
workflow
automation,
analytics
capabilities,
security
frameworks.The
demonstrates
how
modern
CRM
systems
have
revolutionized
customer
engagement
through
enhanced
The
Evolution
Modern
Systems:
A
Technical
Deep
Dive
https://iaeme.com/Home/
Язык: Английский
Deciphering the Mind of the CEO: Is Artificial Intelligence a Valuable Investment in Customer Acquisition?
International Journal of Human-Computer Interaction,
Год журнала:
2025,
Номер
unknown, С. 1 - 18
Опубликована: Март 5, 2025
Язык: Английский
Optimizing customer relationship management through AI for service effectiveness: Systematic literature review
Applied Computer Science,
Год журнала:
2025,
Номер
21(1), С. 153 - 163
Опубликована: Март 31, 2025
The
current
technological
evolution
has
resulted
in
changes
the
global
business
landscape.
have
an
organization's
processes
changing
due
to
increased
customer
expectations
that
also
changed
service
standards
with
management
tools.
adoption
of
new
technologies,
namely
artificial
intelligence,
become
innovative
approach
strategy
Customer
Relationship
Management
for
organizational
sustainability.
This
article
aims
provide
literature
about
integrating
AI
into
CRM
using
a
systematic
review
bibliometric
analysis
explore
latest
trends
development
influenced
by
technology
and
benefits
challenges
faced
organizations
from
technology.
study
is
essential
any
industry
adopts
organizations.
research
was
conducted
reading
analyzing
25
articles
papers
related
CRM.
studies
will
be
processed
Vos
Viewer
tool
visualize
found
AI-CRM
increasing
operational
efficiency
effectiveness,
interaction,
personalizing
services.
However,
face
require
aligning
AICRM
models
their
specific
needs,
cultural
transformation,
balancing
roles
responsibilities
humans
within
operations.
In
conclusion,
thorough
understanding
impact
purpose
role
needed,
conditioned
situation,
maximize
minimize
risks
organization.
Язык: Английский
Next-Gen College CRM: Leveraging BERT for Student Feedback Classification in a Full Stack Framework
Algorithms for intelligent systems,
Год журнала:
2025,
Номер
unknown, С. 41 - 61
Опубликована: Янв. 1, 2025
Язык: Английский
Enhancing Customer Relationships With AI
Advances in computational intelligence and robotics book series,
Год журнала:
2025,
Номер
unknown, С. 191 - 228
Опубликована: Апрель 25, 2025
In
contemporary
Customer
Relationship
Management
(CRM),
empathy
plays
a
pivotal
role
in
cultivating
trust
and
long-term
engagement.
This
chapter,
Building
Empathy
with
AI:
Enhancing
Relationships,
explores
how
Emotion
AI,
Robotics
Sentiment
Analysis
are
reshaping
CRM
by
enabling
context-aware,
emotionally
responsive
interactions.
Through
tools
such
as
facial
recognition,
vocal
tone
analysis,
sentiment
detection,
firms
can
interpret
emotional
cues
real
time
tailor
responses
that
resonate
customer
needs.
The
chapter
critically
examines
the
integration
of
these
technologies,
emphasizing
they
enhance
service
personalization
while
preserving
human-centric
ethos.
Drawing
on
case
studies
across
sectors,
it
evaluates
ethical
boundaries
automation
proposes
framework
to
responsibly
align
AI
innovation
empathy,
privacy,
trust—offering
practical
insights
for
scholars,
practitioners,
policymakers
alike.
Язык: Английский
CRM-Systems' Role in Marketing Optimization Strategies
Bulletin of Science and Practice,
Год журнала:
2024,
Номер
10(12), С. 399 - 404
Опубликована: Дек. 14, 2024
This
article
analyzes
the
role
of
CRM
(customer
relationship
management)
systems
in
enhancing
effectiveness
companies'
marketing
strategies.
It
examines
impact
on
personalization
and
adaptation
campaigns
a
highly
competitive
environment.
The
ability
to
structure
process
customer
data
better
understand
their
needs
preferences
is
studied.
importance
CRM’s
analytical
capabilities
for
predicting
behavior
improving
targeting
accuracy
highlighted.
Challenges
associated
with
implementation,
including
high
costs,
security
concerns,
integration
complexities,
are
discussed.
concludes
insights
into
prospects
marketing.
Язык: Английский
CLOUD COMPUTING AND GENERATIVE AI: TRANSFORMING CRM ACROSS INDUSTRIES
Опубликована: Дек. 26, 2024
This
technical
article
examines
the
transformative
impact
of
cloud
computing
and
generative
artificial
intelligence
(AI)
on
Customer
Relationship
Management
(CRM)systems
across
diverse
industries.Integrating
these
technologies
fundamentally
reshapes
customer
engagement
strategies,
enabling
organizations
to
achieve
unprecedented
levels
personalization,
automation,
service
delivery
optimization.
Язык: Английский