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Case Study Conclusion Paragraph
Streamline
Retail
Group
’
s
shift
from
spreadsheet
-
based
planning
to
automated
demand
forecasting
exceeded
the
targets
set
at
the
start
of
the
engagement
.
Over
the
six
-
month
pilot
,
out
-
of
-
stock
rates
fell
from
11.4%
to
3.2%,
inventory
holding
costs
dropped
22%,
and
store
teams
recovered
roughly
six
hours
per
week
previously
spent
on
manual
replenishment
—
time
now
redirected
to
customer
-
facing
activity
.
More
importantly
,
the
project
changed
how
the
company
makes
decisions
.
Forecasts
are
reviewed
in
a
single
weekly
meeting
rather
than
debated
across
three
separate
departments
,
and
the
finance
team
has
adopted
the
same
dataset
as
the
basis
for
its
quarterly
planning
cycle
.
The
infrastructure
put
in
place
during
the
pilot
—
the
data
pipeline
,
the
forecasting
models
,
and
the
staff
training
program
—
gives
Streamline
a
foundation
it
can
build
on
as
it
opens
its
next
eight
locations
.
The
results
to
date
confirm
that
the
approach
is
working
.
Streamline
is
now
extending
the
system
to
its
e
-
commerce
channel
and
has
engaged
the
implementation
team
to
support
two
additional
product
categories
in
the
first
half
of
next
year
.
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