Kmart Group looks at “multiple” ChatGPT use cases

Kmart
Group
has
joined
a
growing
list
of
Australian
enterprises
to
explore
potential
use
cases
for
the
conversational
AI
platform
ChatGPT.

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Kmart Group looks at "multiple" ChatGPT use cases
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Kmart
Group
has
joined
a
growing
list
of
Australian
enterprises
to
explore
potential
use
cases
for
the
conversational
AI
platform
ChatGPT.

Chief
information
officer
Brad
Blyth
told
a
Microsoft-convened
webinar
last
month
that
the
tool
had
challenged
thinking
about
the
role
that
such
technology
could
play
in
a
retail
environment.

“I
dont
think
we’ve
got
enough
time
yet
with
it
to
kind
of
tap
into
it,
but
it’s
really
changed
what
we
think
is
our
strategy
going
forward
of
what’s
capable
with
technology
in
this
area,”
Blyth
said.

“I
don’t
think
we’ve
quite
comprehended
exactly
what
it’s
capable
of
doing
yet.”

However,
Blyth
indicated
that
the
retailer
saw
“multiple”
potential
use
cases
emerging
that
it
could
seek
to
experiment
with
in
the
future.

“The
obvious
ones
are
how
we
interact
with
and
service
customers,”
he
said.

“Is
there
a
way
we
can
use
this
tool
to
give
our
customers
a
much
more
meaningful
experience
than
what
they
have
today? 

“If
they’re
ringing
up
to
find
a
product
or
to
get
some
more
information
or
to
ask
us
a
[challenging]
question,
is
[ChatGPT]
now
an
option?

“We’re
really
starting
to
kind
of
explore
all
these
potential
use
cases.”

In
addition
to
customer
service,
Blyth
suggested
that
ChatGPT
could
also
have
human
resources-related
use
cases,
from
employee
onboarding
to
training.

“Even
onboarding
staff
and
helping
staff
navigate
their
day-to-day
tasks,
is
ChatGPT
an
option
to
basically
train
our
staff?”
he
posed.



iTnews

reported
last
week

that
in
the
financial
services
sector,
the
Commonwealth
Bank
and
ANZ
Banking
Group
are
exploring
ChatGPT
“and
similar
technologies”,
though
neither
wanted
to
speculate
as
to
what
kinds
of
use
cases
they
saw.

It
was
also
recently

reported

that
Coles
and
Wisetech
Global
had
also
been
experimenting,
though
it
appears
mostly
informal
and
not
on
specific
enterprise-oriented
use
cases.

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