Demantra & inventory

3.2.7 Forecasting
3.2.7.1 Controls & Monitoring
3.2.7.1.1 Compares actual service
levels to service levels
specified in policies
5 Standard Functionality-
Supported through Oracle
Demantra Demand
Management
3.2.7.1.2 Generates initialization and
control reports to create
and evaluate forecasts
Demantra Demand
Management
3.2.7.1.3 Measures accuracy of
forecasts (adjusted or
unadjusted)
Demantra Demand
Management
3.2.7.1.4 Tracks accuracy of
forecasted quantities by
comparing planned and
actual data
Demantra Demand
Management
3.2.7.1.5 Monitors high quantity
demand signals
Demantra Demand
Management
3.2.7.1.6 Generates statistical or
focus forecasts
automatically to update
inventory
Demantra Demand
Management
3.2.7.1.7 Conducts simulation to test
policies
Demantra Demand
Management
3.2.7.1.8 Generates initialization or
simulation reports for safety
stock
Demantra Demand
Management
3.2.7.1.9 Creates demand
forecasting units for a
product line or a group of
product lines that may not
correspond to physical
stocking locations
Demantra Demand
Management

3.2.7.1.10 Users specify stock-keeping
units (SKU) and demand
forecasting units (DFU) to
use in demand forecasting
Demantra Demand
Management
3.2.7.1.11 User-defined analysis
periods
Demantra Demand
Management
3.2.7.1.12 User-defined data
aggregation, grouping by
sales region, product line,
or customer
Demantra Demand
Management
3.2.7.1.13 Customizable forecast
periods, ranges of
tolerance, data points, and
data presentation
Demantra Demand
Management
3.2.7.2 Modeling Requirements
3.2.7.2.1 Uses beta factor to resolve
forecasting errors
Demantra Demand
Management
3.2.7.2.2 Analyzes performance by
comparing forecasted
demand to actual demand
by period or product
aggregate specified by
user
Demantra Demand
Management
3.2.7.2.3 Creates "what-if" scenarios
for a product to test
alternate scenarios or
models
Demantra Demand
Management
3.2.7.2.4 Uses forecasting algorithms
to generate several
forecasts for an item, to
generate the ideal forecast
according to historical data
Demantra Demand
Management
3.2.7.2.5 Compares forecast
demand performance to
historical sales data
Demantra Demand
Management

3.2.7.2.6 Evaluates forecast models
for accuracy based on
historical data
Demantra Demand
Management
3.2.7.2.7 Generates different
forecasts according to
various demand
hypotheses
Demantra Demand
Management
3.2.7.2.8 Confidence factors
incorporated into
forecasting model
Demantra Demand
Management
3.2.7.2.9 Uses statistics to forecast
trended demand, seasonal
demand changes, and
increase in demand during
promotions
Demantra Demand
Management
3.2.7.2.10 Adjusts forecasts according
to fluctuating demand
using adaptive or
exponential smoothing,
moving average, and
weighted moving average
Demantra Demand
Management
3.2.7.2.11 Flags violations of demand
thresholds at product unit
level
Demantra Demand
Management
3.2.7.2.12 Imports forecast data from
spreadsheet
Demantra Demand
Management
3.2.7.2.13 Forecasts is adjusted
automatically according to
information on selling
patterns, which is received
by electronic transmissions
Demantra Demand
Management
3.2.7.2.14 Multilevel aggregating or
disaggregating
Demantra Demand
Management

3.2.7.2.15 Matches forecast model to
selected historical data
Demantra Demand
Management
3.2.7.2.16 Tracks demand fluctuations
caused by extraneous
events
Demantra Demand
Management
3.2.7.2.17 User-defined normal,
seasonal, and promotional
demand
Demantra Demand
Management
3.2.7.2.18 Model takes demand
anomalies into
consideration
Demantra Demand
Management
3.2.7.2.19 Classifies and orders
demand structure from
product family level to
product unit detail
Demantra Demand
Management
3.2.7.2.20 Permits variable length
periods for demand data
Demantra Demand
Management
3.2.7.3 Tracking & Forecasting
3.2.7.3.1 Demand forecast breaks
down according to discrete
profiles
Demantra Demand
Management
3.2.7.3.2 Aggregate forecasts break
down into specific forecasts
at unit level
Demantra Demand
Management
3.2.7.3.3 Provides details of items in
product group forecasts to
create more detailed
forecasts
Demantra Demand
Management
3.2.7.3.4 Generates product family
forecasts by rolling up
detailed forecasts for items
that are related
Demantra Demand
Management

3.2.7.3.5 Sends signals to users when
forecast has errors or an
activity is not within
threshold levels
Demantra Demand
Management
3.2.7.3.6 Various algorithms are
available for generating
forecast summaries at
aggregate level, as well as
forecasts at the product
family or item level
Demantra Demand
Management
3.2.7.3.7 Displays actual and
forecast demand by
customizable period
Demantra Demand
Management
3.2.7.3.8 Generates consolidated
forecasts by part number
and covering all facilities
Demantra Demand
Management
3.2.7.3.9 Uses sales history or
demand pattern data of
existing products to create
forecast for new similar
items
Demantra Demand
Management
3.2.7.3.10 Generates detailed
forecasts by item number
or SKU, that can be
aggregated
Demantra Demand
Management
3.2.7.3.11 Overwrites or consolidates
forecasts at item level
Demantra Demand
Management
3.2.7.3.12 Accumulation of old
forecasts into future periods
Demantra Demand
Management
3.2.7.3.13 Generates demand
forecasts
Demantra Demand
Management
3.2.7.3.14 Users can create forecasts
by demand class, by item,
by customer, by product
family, by model, and by
Demantra Demand
Management

option classes
3.2.7.3.15 Estimates percentage of
future demand based on
existing data for item-level
components
Demantra Demand
Management
3.2.7.3.16 Forecast percentage
included in forecast
calculation
Demantra Demand
Management
3.2.7.3.17 User-defined component
level forecast
Demantra Demand
Management
3.2.7.3.18 Provides mean absolute
deviation (MAD) to use
when calculating safety
stock
Demantra Demand
Management
3.2.8 Reservations and
Allocations
3.2.8.1 Allocations
3.2.8.1.1 Immediate allocation of
inventory quantities to
backorders
Inventory
3.2.8.1.2 Available inventory
reduced at time of sales
order entry
Inventory
3.2.8.1.3 Customizable rules for
reallocating inventory
across open orders
Inventory
3.2.8.1.4 Assigns and displays
available back-ordered
products by location
Inventory
3.2.8.1.5 Allocates back-ordered
items by location
according to customizable
criteria
Inventory

3.2.8.1.6 Specifies accounts for
which no backorders are to
be carried
Inventory
3.2.8.1.7 Reverses back-order status
of inventory upon order
rejection
Inventory
3.2.8.1.8 Inventory allocation as
order is released for ALL
orders
Inventory
3.2.8.1.9 Allocates material and
capacity to orders
Inventory
3.2.8.1.10 Capacity allocation by
individual requirement
source
Inventory
3.2.8.1.11 Creates reserve allocations
for items
Inventory
3.2.8.1.12 Displays online detailed
information about
allocations, pegging it to
other data
Inventory
3.2.8.1.13 Users can manually
override back-ordered
items that have been
allocated
Inventory
3.2.8.1.14 Flags allocated items when
quantities fall below reorder
levels
Inventory
3.2.8.2 Reservations
3.2.8.2.1 Reservation days--time
fence between soft and
hard allocations
Inventory
3.2.8.2.2 Displays online and in real
time resources and
inventory that are available
in a specific location
5
3.2.8.2.3 Users can manually reserve
inventory or place it on
hard hold for a specific
order
5

3.2.8.2.4 Users assign define criteria
for creating reservations
and a hierarchy for
sequencing them
5
3.2.8.2.5 Reserved inventory
allocation by order
account
5
3.2.8.2.6 Reserves product and
confirms shipping date
upon receipt of order
5
3.2.8.2.7 User determines how lots
will be reserved; oldest lot is
automatically reserved first
by default
5
3.2.8.2.8 Picking methods will
determine the quantities
reserved
5
3.2.8.3 Other 5 Standard Functionality-
Inventory
3.2.8.3.1 Item balances maintained
by grade specifications
and lot number
5
3.2.8.3.2 Finds alternative inventory
sources if default sourcing
link does not satisfy need
5
3.2.8.3.3 Displays storage limits by
warehouse, lot number, or
inventory allocation
5
3.2.8.3.4 Reports actual or
impending shortages
5
3.2.9 Adjusting Inventory
3.2.9.1 Manual adjustments to
inventory values
Inventory
3.2.9.2 User specifies reason codes
for adjusting inventory, such
as cycle count or poor
quality
Inventory
3.2.9.3 Secure access via control
number to modify inventory
transactions
Inventory

3.2.9.4 Displays inventory balance
information before and
after adjustments
Inventory
3.2.9.5 Inventory adjustments
tracked for reporting
purposes
Inventory
3.2.9.6 Authorization on individual
transaction level
Inventory
3.2.9.7 Generates automatic
reorders
Inventory
3.2.9.8 Users define rules for
overstock and understock
exceptions
Inventory

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