SPEAKER_00
0:42
The
real
answer
is
to
proactively
track
what's
going
on
within
your
shipping
and
notify
you
before
you
know
you've
spent
a
lot
of
money.
If
you've
got
to
go
back
and
save
and
collect
money,
that's
money
that
you
spent.
We
want
to
uh
project
what
you're
doing
and
prevent
that
from
happening
uh
in
the
get-go.
And
so
that's
really
the
impetus
behind
the
evolution
of
our
product.
And
you
know,
I
say
we
started
out
as
a
managed
service,
we
transformed
to
a
SaaS
business,
and
we're
currently
in
the
process
of
transforming
to
an
AI
business.
SPEAKER_02
1:19
Welcome
into
another
episode
of
our
AI
Use
Cases
in
Logistics
series
from
Cargo
Rex.
Today
we
are
talking
with
Sean
McCarrick.
He
is
the
CEO
of
Sifted.
It's
a
SaaS-based
business
optimization
and
parcel
spend
management
platform.
So,
Sean,
welcome
in.
I'm
excited
to
have
this
conversation.
Thank
you.
Great
talking
to
you.
Now,
for
folks
who
may
not
be
aware
of
your
platform
and
sort
of
your
ICP,
your
ideal
customer,
give
us
sort
of
that
high-level
overview
of
where
Sifted
came
from
and
then
who
are
your
target
customers.
SPEAKER_00
1:54
You
know,
Sifted
emerged
out
of
the
consulting
and
audit
business
that
goes
back
20
years
and
parcel
shipping
companies
coming
in
and
consulting,
helping
shippers
figure
out
how
to
uh
reduce
their
cost
and
auditing
invoices.
And
it's
a
very
reactive,
backward
looking.
Hey,
you
spent
a
bunch
of
money
that
you
need
to
spend,
I
could
save
you
like
$500,000,
uh,
etc.
And
VeraShip,
when
I
started,
I
think
was
15
years
old,
and
we
went
down
the
path
of
really
transforming
it
to
a
uh
a
SaaS
business
and
really
uh
kind
of
completed
that
journey
uh
in
2024
and
basically
building
a
product
that
shippers
can
use
themselves
to
proactively
manage
their
shipping
spend.
Uh
um
and
then
we
most
recently
we
attempted
in
2023
actually
to
uh
build
an
AI
uh
client
facing
AI
solution
technology
really
was
not
there
yet.
And
so
most
recently
releasing
our
co-pilot
um
product,
if
you
think
about
the
evolution
of
SaaS,
SaaS
has
evolved
to
being
a
very
efficient,
you
attempt
to
build
a
very
efficient
tool
to
make
it
easier
for
people
to
do
work.
And
really
with
AI
and
our
co-pilot
solution,
we're
moving
from
a
place
for
our
shippers
to
do
work
to
a
solution
that
does
work
for
them.
And
so
um,
you
know,
the
intent
is
you
don't
need
to
log
in,
you
don't
need
to
like
come
visit
the
uh
our
product,
you
are
set
up
alerts,
you
set
up
triggers,
and
we're
monitoring
your
shipping
spend.
Uh
um,
and
then
we
communicate
proactively
to
you
when
there's
a
variance
that
you
need
to
take
uh
uh
pay
attention
to.
And
the
big
change
in
this
industry,
you
hear
is
savings
a
lot.
And
in
reality,
if
you
have
a
big
ticket
number
that
you
can
save,
that's
a
problem.
That
means
you
already
spent
the
money.
And
so
the
real
answer
is
to
proactively
track
what's
going
on
within
your
shipping
and
notify
you
before
you
know
you've
spent
a
lot
of
money,
right?
So
we
should
avoid
like
needing
to
like
if
you've
got
to
go
back
and
save
and
collect
money,
that's
money
that
you
spent.
We
want
to
we
want
to
uh
project
what
you're
doing
and
prevent
that
from
happening
uh
in
the
get-go.
And
so
that's
really
the
impetus
behind
the
evolution
of
our
product.
And
you
know,
I
say
we
started
out
as
a
managed
service,
we
transformed
to
a
SaaS
business,
and
we're
currently
in
the
process
of
transforming
to
an
AI
business.
SPEAKER_02
4:37
And
so,
what
do
you
think
you've
learned
from
those
two
initiatives
that
have
uh
kind
of
put
you
in
a
unique
position
to
where
you
can
say
these
are
the
red
flags
or
the
early
warning
signs
that
you
should
be
on
the
lookout
for?
Is
it
you
know
years
of
data,
or
is
it
maybe
the
years
of
data
plus
you
know,
the
the
layer
of
the
customer-specific
data?
SPEAKER_00
4:59
What
are
maybe
the
great
question?
Uh
um
because
my
criticism
of
our,
I'm
gonna
call
it
legacy
solution
now,
is
that
hey,
it's
a
wonderful
tool.
It
has
uh
um,
it's
very
complex,
it
covers
a
lot
of
ground.
Uh
however,
you
have
to
know
you
know
what
you're
looking
at.
So
we
have
what
20
years
of
experience
in
partial
shipping.
We
have
built
that
into
our
software.
Uh
however,
like
I
said,
you
you
needed
to
know
what
you're
doing
and
uh
invest
the
time
and
energy
as
opposed
to
having
a
natural
language
interface
that
says,
hey,
uh
really,
I
want
to
know
if
my
cost
per
pack
increases
within
a
variance
of
one
to
two
percent.
I
want
to
know
the
following
things.
Like,
so
you
don't
have
to
be
now
you
don't
have
to
be
an
expert.
You're
gonna
talk
to
uh
our
natural
language
interface
like
you
know,
it's
uh
an
employee
for
you.
And
that's
really
the
way
we
position
the
product.
This
is
an
employee
for
you
that's
gonna
do
the
work
and
you're
gonna
interact
with
the
same
way
you
would,
same
way
you
would
one
of
your
employees,
but
simple.
SPEAKER_02
6:04
And
so
on
on
your
website,
I
love
how
it's
laid
out
with
all
of
the
different
use
cases
because
that
makes
it
hyper
specific.
And
so
for
a
lot
of
these,
you
know,
you
have
finance
pros,
logistics
pros,
uh,
for
3PLs,
uh,
for
manufacturing,
all
of
those
different
use
cases.
Is
that
at
the
enterprise
level,
or
do
you
have
some
some
SB
type
customers,
or
is
it
maybe
a
blend
of
the
two?
SPEAKER_00
6:27
Uh
I
would
say
uh
um
mid-market
in
the
enterprise.
You
need
to
have
enough
parcel
spend
that
it
is
worth
your
time
or
you
it's
necessary
for
you
to
manage
it.
And
it
to
be
candid
with
you,
it
really,
you
know,
parcel
spend
is
something
that's
kind
of
uh
snuck
up
on
the
industry
and
really
exploded
post-COVID.
Uh
and
so
it
really
comes
down
to
the
ICP,
really
is
uh
comes
down
to
the
um
sophistication
and
maturity
of
that
particular
shipper
and
desire
to
get
their
hands
around
uh
what's
impacting
their
gross
margin
or
what's
impacting
their
PL.
And
so
uh
we
have
shippers
that
are
in
the
high
SMB
mid-market
all
the
way
up
uh
through
large
enterprise
that
want
to
control
their
shipping
spend
and
understand
what's
driving
it.
Outside
of,
hey,
I'm
gonna
have
somebody
come
in
and
do
some
consulting
with
me
or
uh
audit
some
invoices.
SPEAKER_02
7:27
No,
that
that
that
definitely
makes
a
lot
of
sense
because
especially
since
uh
everybody
on
their
mother,
well,
I
don't
want
to
say
everybody
on
their
mother
now
knows
about
supply
chain,
but
you
know,
ever
since
you
know
the
Evergiven
got
stuck
in
the
Suez
Canal,
you
know,
the
supply
chain
managers
and
VPs
and
executives
seem
to
have
that
seat
at
the
conference
room
table
now
or
at
the
boardroom
table.
And
so
they
want
to
have
their
their
lives,
you
know,
kind
of
made
a
little
bit
easier
with
with
some
different
you
know
products
that
can
give
them
that
eagle-eye
view
and
help
to
explain
you
know
cost
savings,
which
everybody
understands
and
everybody
wants.
And
so,
how
what
does
I
guess
sort
of
the
the
one?
SPEAKER_00
8:05
Cost
avoidance.
Like
I,
you
know,
I
would
tell
you
that
on
average
our
clients
see
a
17
to
20
percent
reduction
in
cost
per
pack.
The
more
important
part
of
that
is
avoidance
up
front.
The
way
you
get
the
number
lower
is
by
making
sure
you
don't
incur
things
to
begin
with.
And
so,
and
you
know,
you
were
you
were
going
through
those
profiles.
What
we
see
is
that
depending
on
the
company,
partial
spend
might
be
managed
by
operations,
it
might
be
by
supply
chain,
it
might
be
managed
by
finance,
and
every
group
kind
of
has
their
own
viewpoint
of
what's
important
to
them.
SPEAKER_02
8:43
And
so,
as
you're
you're
making
these
uh,
I
guess
the
cost
uh
increase
avoidance
of
maybe
those
red
flags,
how
do
you
know
or
how
do
they
know
what
to
look
for?
Is
it
based
on
the
the
years
of
proprietary
data
that
you
already
have
or
a
mix
of
the
you
know
the
two
with
the
customer
data
and
your
data?
How
do
they
how
do
they
know
or
how
do
they
find
out
what
they
don't
already
know
about?
SPEAKER_00
9:06
Yeah,
no,
I
I
I
I
would
say
we
made
a
huge
investment
starting
in
22,
building
out
our
uh
simulation
and
tracking
machine
learning
modules
that
are
the
heart
of
the
platform
and
when
we
originally
rebranded
to
sifted
AI,
uh,
that
we've
recently
just
made
it
exposed
to
our
clients
through
our
natural
language
interface,
the
uh
co-pilot
release.
But
all
that
institutional
knowledge
has
been
built
into
our
platform
so
that
we
can
proactively
communicate
to
a
shipper,
hey,
here's
what's
going
on.
But
some
things
are
blake,
you
know,
pretty
straightforward
address
corrections.
You
know,
if
you
continue
the
trend
you're
on
right
now,
you're
gonna
have
$150,000
in
address
correction
fees.
Uh
let's
get
that
fixed
before
you
get
to
that
point.
And
that's
the
difference
between,
you
know,
having
an
employee
that's
got
to
log
on
and
check
versus
having
something
running
continuously
in
the
background
that's
just
proactively
communicating
when
there's
an
issue.
And
then
if
there's
no
news,
that's
good
news.
SPEAKER_02
10:10
Oh,
that's
super
interesting.
So
it's
not
just,
you
know,
oh,
I
gotta
log
into
another
site,
you
know,
I
have
to
create
another
account,
I
have
to
download
another
app.
This
kind
of
only
bugs
you
when
there's
something
that
they
need
to
be
paying
attention
to.
SPEAKER_00
10:25
And
bugs
you
the
way
that
you
want
to
um
be
bugged.
And,
you
know,
if
you
just
look
at
the
SaaS
industry,
uh
I'm
a
firm
believer
that
pretty
soon
most
SaaS
products
are
gonna
be
headless,
and
you
will
interface
with
them
through
whatever
your
enterprise
chatbot
is
of
choice,
Claude,
uh
Chat
GPT.
You're
gonna
come
in
and
you're
gonna
work
out
a
Cloud
and
like,
okay,
hey,
sifted,
uh
um
what's
going
on?
Uh
what
are
my
how
do
my
K?
I
got
to
go
talk
to
my
boss
later.
What
do
my
KPIs
look
like?
Um
you're
gonna
interface
with
Salesforce,
you're
gonna
interface
with
all
those
SaaS
products
through
something
like
uh
Cloud,
and
you're
gonna
expect
to
be
able
to
get
proactive
communication
as
well
as
interact
with
it
in
a
very
simple
way.
SPEAKER_02
11:11
And
so
what
are
what
are
maybe
some
of
those
light
bulb
moments
for
for
folks
who
recognize
that
they
want
to
get
smarter
about
their
parcel
spend
and
they're
looking
for
different
solutions.
How
do
they
know
what
to
look
for
to
find
a
company
like
yours,
to
find
sift
it?
SPEAKER_00
11:29
That
is
uh
that's
a
great
question.
You
know,
you
have
to
have
an
appreciation
and
understanding
where
parcel
uh
shipping
fits
in
your
company
profile.
Uh
um
increasingly
it
is
it's
like,
especially
in
e-commerce,
like
the
third
or
fourth
uh
largest
spend
items
in
a
PL.
Uh
and
then
uh
um
obviously
we
would
like
you
just
to
come
to
sifted,
but
uh
um
understanding
what
your
options
are
around
parcel
spend
management,
but
more
as
much
in
the
cost
savings,
having
a
view
to
cost
prevention.
I'm
just
gonna
I'm
gonna
keep
reiterating
that
because
uh
um
the
name
of
the
game
is
just
not
to
spend
the
money
to
begin
with.
SPEAKER_02
12:14
And
so
uh,
you
know,
as
your
your
or
a
customer
is
using
the
platform,
so
they
they
become
aware,
they
they
start
the
onboarding
process.
What
does
that
process
look
like?
Uh
are
you
integrating
into
their
existing
systems?
Is
it
a
new
system
that
they
have
to
set
up,
maybe
some
new
work
processes?
Uh
walk
me
through
that
onboarding
process,
which
I'm
sure
is
different.
SPEAKER_00
12:36
It
it
is.
It's
pretty
simple
though.
It's
it's
uh
a
matter
of
syncing
your
carrier
data
to
the
platform.
Uh
we
have
a
lot
of
different
options
uh
to
do
that.
We
try
to
make
it
as
easy
as
possible
uh
um
for
our
clients.
We
support,
I'm
gonna
say,
30
different
carrier
formats.
We're
actually
rolling
out
uh
a
new
solution
that
just
is
universal.
It's
leveraging
AI
to
make
it
just
uh
super
easy.
You
know,
onboarding
takes
uh
a
matter
of
a
few
days
to
a
week
uh
then
to
ingest
and
get
your
data
and
then
uh
start
presenting
you
results.
And
then
our
client
success
team
walks
through
hey,
here's
our
here
are
our
learnings
on
the
things
that
you
need
to
pay
attention
to,
we
think
you
need
to
pay
attention
to.
The
platform,
when
you
immediately
log
in,
uh
um
it
provides
you
recommendations
based
on
our,
again,
our
algorithms,
but
then
we
have
the
ability
to
customize
it
to
what
uh
is
important
to
that
particular
shipper.
SPEAKER_02
14:30
Now
there's
for
a
lot
of
you
know,
sort
of
the
the
main
use
cases
for
for
LLMs
is,
you
know,
oh
they
hallucinate
or
oh
they're
not
always
accurate.
You
know,
there's
obviously
at
the
enterprise
level,
there
there's
uh,
you
know,
there's
governance
around
your
data
and
and
your
your
documentation.
So
how
do
you
help
those
customers
who
have
probably
never
done
any
of
this
before,
or
maybe
they've
done
it
in
a
smaller
aspect,
but
how
do
you
help
walk
them
through
of
what
makes
for
good
data,
how
to
know
when
to
spot,
when
when
things
are
hallucinating,
and
even
from
the
the
product
lens
of
how
you
adjust
for
the
the,
I
guess
the
maybe
some
limitations
of
like
an
older
Chat
GPT
model
versus
a
newer
model?
SPEAKER_00
15:12
Yeah,
that's
a
great,
that's
a
great
question.
And
you
know,
when
I
said
we
tried
to
do
this
in
2023,
uh
those
are
the
things
that
we
just
could
not
uh
solve
for.
And
our
solution
is
very
unique.
I'm
not
gonna
get
into
a
tremendous
amount
of
detail.
That
the
the
LLM
that
we
use
in
our
solution
is
self-contained
within
our
environment.
Uh
so
when
we
uh
ingest
uh
a
client's
a
shipper's
data,
it
never
leaves
our
environment.
So
it
is
not
getting
used
out
in
the
wild
to
train
models
or
to
do
anything.
And
so
that's
a
really
data
governance,
a
really,
really
important
thing.
Our
shippers
have
agreements
with
their
carriers.
We
have
agreements
with
our
shippers,
we
have
agreements
with
carriers
uh
around
data
governance
and
making
sure
that
it
doesn't
get
used
for
anything
that
it's
not
uh
approved
for.
So
that's
a
that's
a
huge
thing
that's
built
into
our
platform.
The
other
thing
I'd
say
is
that
is
uh
very
unique
about
us,
we
built
a
third-party
verification
process
so
that
when
we
get
uh
queries
that
come
through
co-pilot,
our
co-pilot
solution
independently,
we're
validating
the
responses
that
go
back
so
that
we
can
we're
we're
confident
that
the
solution
that
we're
giving
back
to
our
shippers
is
accurate.
Uh
um
and
that's
maintained
by
our
team.
The
results
of
that
are
maintained
by
our
team
so
that
we
can
look
at
the
accuracy
and
make
sure
that
we're
we're
responding
the
way
that
uh
we
would
respond
if
somebody
was
using
the
platform.
SPEAKER_02
16:47
And
now
I
I
imagine
for
your
your
target
customers,
they're
almost
excited
maybe
to
use
some
of
this
because
in
some
of
my
other
conversations,
you
know,
there
there's
there's
pushback,
there's
uh
a
hesitancy
to
adopt
these
kinds
of
solutions,
or
even
just
AI
in
general.
But
I
imagine
on
on
your
side
of
things,
it's
almost
an
encouraged
and
that
you
you
know
the
the
shippers
need
this
help.
Is
that
an
accurate
assumption?
SPEAKER_00
17:11
The
adoption
has
been
phenomenal.
The
adoption
rate
has
uh
um
just
been
absolutely
phenomenal.
I
think
we're
up
to
60%
now
after
going
live
over,
I
think
we
went
live
six
weeks
ago
with
uh
rolling
out
to
our
our
entire
client
base.
So
the
adoption
rate
has
been
absolutely
phenomenal.
And
the
utilization
around
um,
and
there
are
three
components
to
our
uh
natural
language
interface,
just
asking
questions,
uh
setting
up
tasks
and
triggers
and
alerts,
and
then
sophisticated
simulation.
And
the
simulation
component,
we're
continuing
to
add
more
capability
to.
As
you
might
imagine,
there's
a
lot
more
uh
rigor
that
goes
into
that.
So
you
can
do
really
interesting
analysis
with
your
shipping
data,
your
contracts,
and
your
own
third-party
uh
data
as
well.
But
the
adoption
rate
has
just
been
absolutely
phenomenal.
SPEAKER_02
18:08
And
so
then
that
way,
uh
from
an
adoption
standpoint,
is
it
as
simple
as,
you
know,
I'm
I'm
just
logging
in
and
I
can
see
all
of
these
different
alerts?
Do
I
get
an
email?
Uh
what
does
that
alert
system
look
like?
SPEAKER_00
18:21
Yeah,
you're
you're
you
can
log
in
and
see
it
uh
on
the
um
home
page,
or
you
can
set
it
up
to
get
push
notifications
to
the
platform.
You
can
set
it
up
to
get
uh
email
notifications.
And
so
part
of
the
whole
intent,
the
whole
intent
is
to
make
the
shipper's
life
easier.
Hey,
let's
set
this
up
for
you,
and
then
we'll
communicate
back
to
you
on
an
as-needed
basis
the
way
that
you
want
to
get
communicated
to.
SPEAKER_02
18:47
And
now
for
a
lot
of
those
shippers,
you
you
mentioned
the
the
60%
adoption
rate.
I'm
sure
during
this
process,
you're
you're
you're
getting
feedback
on
maybe
improvements
or
additions
that
you
can
make
into
the
platform
itself.
Is
there
maybe
anything
that
you
weren't
thinking
about
before,
but
are
or
have
put
it
in
the
product
roadmap?
SPEAKER_00
19:04
It's
interesting
because
AI,
this
the
whole
AI
push
in
the
industry
is
educating
everybody
on
what
to
expect.
Some
of
the
things
that
we
didn't
expect
is
how
robust
and
the
amount
of
data
that
uh
shippers
were
going
to
want
to
crunch
and
that
we
needed
to
be
able
to
not
we
were
handling
it,
processing
it
was
fine,
but
give
it
to
them
in
them
in
an
output
that
they
wanted
to,
and
that's
extremely
variable.
Now,
thankfully,
the
tools
in
the
marketplace
are
making
it
easier
and
easier
uh
to
handle
large
amounts
of
data
and
to
graphically
represent
those.
But
uh
I
would
say
just
some
things
like
that
kind
of
caught
us
a
little
bit
off
guard.
Well,
what
what
when
you
find
out
you're
kind
of
like,
well,
duh,
we
should
have
thought
about
that.
SPEAKER_02
19:49
And
maybe
I
if
I'm
reading
between
the
lines,
is
a
little
bit
of
uh
the
phrase
around
token
economics
or
tokenomics,
uh
how
you
can
manage
what
you're
querying
to
the
co-pilot
or
to
AI
based
on
the
type
of
response
or
the
type
of
data
you're
dealing
with.
Am
I
uh
Exactly
Perfect?
Okay,
yeah,
yeah,
because
I
think
I
just
heard
the
other
day
like
stop
uploading
PDFs,
you
know,
to
your
AI
or
to
Claude,
because
I
kept
running
into
an
issue
where
I
was
maxing
out
on
my
tokens
each
day.
And
so
I
imagine
some
of
that
has
to
be
taught
to
shippers.
SPEAKER_00
20:21
Yeah,
we
we
uh
again,
our
uh
intent
is
to
abstract
our
shippers
from
that.
So
we
manage
that
on
the
back
end,
but
it's
something
that
we
have
to
proactively
manage
again.
We
we
want
it
to
be
low
friction
for
and
as
simple
as
possible
for
our
shippers.
So
you
it
is
very
rare
that
a
shipper
is
gonna
get
a
note
that
you've
reached
your
limit.
We've
all
probably
gotten
that
note.
Hey,
you've
reached
your
limit.
I
love
it.
Hey,
you've
reached
your
limit.
You
have
to
wait
17
minutes
before
you
can
uh
really
17
minutes.
Uh
um,
we
do
not
do
that.
SPEAKER_02
20:55
Oh,
so
I
would
imagine
that
that's
uh
almost
like
a
hidden
perk
for
a
lot
of
these
shippers
that
you
don't
have
to
worry
about,
you
know,
whether
you
gotta
upload
a
PDF
into
you
know
Google
Drive
and
save
it
as
a
markdown
file
or
extract
the
text,
or
you
don't
have
to
do
any
of
that.
You
you
can
you
know
just
use
your
business
as
efficiently
as
possible,
and
we're
we
will
worry
about
that
for
you.
SPEAKER_00
21:16
In
the
background,
exactly.
SPEAKER_02
21:17
Perfect.
SPEAKER_00
21:18
Okay,
well
Now
you
can
see
why
it
took
us
a
while.
It
took
us
a
while
to
get
the
whole
platform
architected.
Uh
so
we
can
handle
the
data
security,
we
can
handle
the
validation,
and
we
can
handle
the
monetization,
the
way
that
that
uh
AI
monetizes
the
utilization.
SPEAKER_02
21:35
And
so
what
are
shippers,
I
guess,
able
to
do
after
they
have
that
that
insight?
Is
it
per
cost
prevention
that
you
mentioned
a
couple
times,
but
is
there
any
other
maybe
hidden
aspects
that
that
they
might
not
be
aware
of?
SPEAKER_00
21:46
Well,
I
mean,
the
the
key
is
uh
educating,
you
know,
our
our
platform,
the
intent
is
to
educate
and
alert
on
what's
driving
the
spend
in
this
space,
and
then
to
give
recommendations
on
what
they
can
do
uh
to
manage
that,
and
or
give
recommendations
if
uh
client
experience,
their
client
experience
is
important.
Uh
um,
you
know,
during
COVID,
you
know,
cost
kind
of
to
a
certain
extent
became
less
important
and
prompt
delivery
became
important.
So
it's
it's
really
about
what's
driving
uh
um
your
need.
Is
it
is
it
cost,
is
it
client
experience,
is
it
gross
margin?
And
then
we
can
uh
tailor
the
platform
to
help
you
focus
on
that.
SPEAKER_02
22:34
That
makes
sense.
So
customize
it
per
their
KPIs
of
what
they're
looking
for
and
what
that
you
know
supply
chain
manager
is
looking
to
present
to
their
team.
SPEAKER_00
22:42
Yeah,
and
it's
it
and
literally
could
be
different
for
somebody
in
their
comp
in
the
in
supply
chain
than
in
somebody
in
finance.
SPEAKER_02
22:49
Now,
is
there
a
particular
commodity
that
this
is
best
suited
for?
Is
it
really
just
all
encompassing
of
parcel
spend?
SPEAKER_00
22:56
All
parcel.
SPEAKER_02
22:57
And
so
out
outside
of
that,
I
think
that
is
about
uh
well,
first
before
before
I
let
you
go,
uh
is
there
anything
important
that
you
feel
we
should
mention
that
we
haven't
already
talked
about?
SPEAKER_00
23:08
No,
I
mean,
my
my
the
key
things
for
me
is
like
really
uh
evolving
to
prevention
from
from
looking
backwards,
but
preventing
things
from
happening
in
the
future,
evolving
to,
hey,
you
should
we
should
all,
as
consumers
of
technology,
expect
that
I'm
buying
something
that
works
for
me
versus
me
needing
to
do
the
work.
And
then
I've
got
to
feel
safe.
I
gotta
feel
like
my
data
is
safe,
and
I
gotta
feel
confident
in
the
answers.
And
I
think
you
have
to
have
a
solution
like
ours
where
you've
invested
the
time
and
energy
to
keep
everything
self-contained,
uh,
but
still
give
all
the
benefits
of
uh
AI
capabilities.
And
you
know,
we've
built
a
rigorous
uh
um
process
that
we
are
doing
our
own
validation
as
opposed
to
waiting
for
uh
a
shipper
to
say,
hey,
I
got
this
answer.
It
doesn't
make
sense.
We
all
see
the
disclaimer
at
the
bottom
of
Claude.
Hey,
it's
AI,
it
makes
mistakes.
But
you
know,
our
intent
is
for
never
for
a
shipper
to
tell
us,
hey,
I
think
you
got
this
wrong.
SPEAKER_02
24:09
And
so
it
definitely
sounds
like
this
is
a
uh
more
based
on
the
AI
conversations
that
I've
had,
that
this
is
your
your
solution
feels
more
proactive.
And
then
it
feels
like
you're
you're
taking
you
know
years
of
you
know
industry,
uh
proprietary,
tribal
knowledge,
and
then
compounding
that
with
the
customer
data
uh
to
fit
their
unique
needs,
which
is
kind
of
you
know
what
AI
was
promised,
you
know,
a
few
years
ago
when
it
was
first
launched.
But
it
feels
like
we're
finally
starting
to
get
you
know
a
lot
of
that
traction.
Is
that
I
assume
that's
what
you're
seeing
too.
SPEAKER_00
24:39
Yeah,
absolutely.
Absolutely.
SPEAKER_02
24:41
Any
uh
last
words,
uh,
where
can
folks
follow
you,
get
connected
with
you,
maybe
sign
up
for
our
demo
for
with
Sifted?
SPEAKER_00
24:49
Uh
uh
come
to
Sifted.com
and
uh
sign
up
for
a
demo,
follow
me
on
LinkedIn,
follow
Sifted
on
LinkedIn.
Uh,
we'd
love
to
hear
from
you.
SPEAKER_02
24:58
Perfect.
Well,
make
sure
to
make
it
easy
for
folks,
and
I'll
put
all
of
that
in
the
show
notes.
But
but
this
was
a
great
conversation,
so
thank
you
so
much,
Sean.
SPEAKER_00
25:05
All
right,
thank
you.
SPEAKER_01
25:10
Thanks
for
tuning
in
to
another
episode
of
Everything
Is
Logistics
where
we
talk
all
things
supply
chain
for
the
thinkers
in
freight.
If
you
like
this
episode,
there's
plenty
more
where
that
came
from.
Be
sure
to
follow
or
subscribe
on
your
favorite
podcast
app
so
you
never
miss
a
conversation.
The
show
is
also
available
in
video
format
over
on
YouTube
just
by
searching
Everything
is
Logistics.
And
if
you're
working
in
freight
logistics
or
supply
chain
marketing,
check
out
my
company
Digital
Dispatch.
We
help
you
build
smarter
websites
and
marketing
systems
that
actually
drive
results,
not
just
vanity
metrics.
Additionally,
if
you're
trying
to
find
the
right
freight
tech
tools
or
partners
without
getting
buried
in
buzzwords,
head
on
over
to
CargoRex.io
where
we're
building
the
largest
database
of
logistics
services
and
solutions.
All
the
links
you
need
are
in
the
show
notes.
I'll
catch
you
in
the
next
episode
and
go
check.
