SAP Functional /
SAP APO DP (Demand Planning)

SAP APO DP (Demand Planning)

SAP APO DP Online Training:

Who is Eligible:

Any Graduates/Post Graduates are eligible.
Any Functional/technical background consultants are eligible to learn SAP APO DP Online Training.

  • 1

    SAP APO DP - Introduction & Overview

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  • 1

    Overview of Demand Planning Concept

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  • 2

    Datamart, info-cubes & Demand Planning

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  • 3

    Planning area and Planning Books

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  • 6

    Statistical toolbox, Promotions and Life Cycle Planning

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  • 7

    Mass Processing and Release of Plans

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  • 8

    Exception Processing and Alert Generation

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  • 1

    Carry out all the steps need to set up your planning area.
    The planning area is the basis for all activities in APO Demand Planning.
    It is a collection of parameters that define the scope of all planning tasks.
    The planning area is linked to the data mart.
    You load into the data mart the actual history
    (for example, bookings, shipments or billings)
    that will be used to create the DP master data and generate the demand forecasts.
    See Planning Area Administration.

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  • 2

    Map the structure of your company
    (for example, regions, divisions, brands, products and customers)
    for planning purposes in the DP master data.
    See Master Data Setup.

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  • 3

    Configure the layout of the planning screens for the different parties
    (departments, managers, divisions, and so on)
    who will participate in demand planning by designing planning books.
    Define macros to perform calculations,
    carry out tests, and warn you of exceptional situations.
    See Planning Book Design.

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  • 4

    Define forecast models for time series forecasting,
    causal analysis and/or composite forecasting.
    SeeDefinition/Redefinition of Forecast Models.

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  • 5

    Create a forecast of market demand using a top-down,
    middle-out, or bottom-up approach.
    Choose from a wide variety of forecasting methods and techniques.
    See Creation of the Demand Forecast.

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  • 6

    Forecast new products and discontinued products
    by applying lifecycle planning and "like" modeling techniques.
    See Lifecycle Planning.

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  • 7

    Plan promotions and other events.
    Examples of promotions are free-standing inserts,
    coupons, discounts, product displays, trade shows, dealer allowances,
    coupons, contests, and advertising.
    See Promotion Planning.

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  • 8

    Fine-tune the demand plan by adding management
    overrides and modifications.
    See Fine-Tuning of the Demand Plan.

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  • 9

    Reconcile the demand plans of different departments
    by merging the plans into a one-number, consensus forecast.
    See Reconciliation of Demand Plans.

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  • 10

    Simulate different planning scenarios.
    See Simulation.

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  • 11

    Monitor exceptional or critical situations through the Alert Monitor.
    See Monitoring Alerts for Demand Planning (DP).

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  • 12

    Make the demand plan available in SNP by releasing it.
    The demand plan is often unconstrained by
    any production or distribution restrictions.
    This step can be completed by either
    the demand planner or the SNP planner.
    See Release of the Demand Plan to SNP.

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  • 13

    Make the SNP plan available to DP by releasing it.
    The SNP plan takes into account any production
    or distribution restrictions.
    A comparison of the two plans could lead,
    for example, to the opening of a factory to meet demand
    in a new market region.
    See Releasing the Supply Network Plan to Demand Planning.

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  • 14

    Store the forecasts made at different times for a period.
    See Forecast Storage and Further
    Processing in Other Systems.

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  • 15

    Update the actual data. See Historical Data Updates.

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  • 16

    Verify the accuracy of the forecast;
    for example, by comparing it with the constrained forecast from SNP,
    with actual data and with other demand planning versions
    that you did not release to SNP.
    See Monitoring of Forecast Accuracy.

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  • 17

    Revise the master data to reflect the addition
    of new products, customers, and so on.
    See Master Data Revision.

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  • 18

    Refine the forecast models in the light of knowledge
    gained from forecast accuracy checks.
    Add new models for new products and product lines.
    See Definition/Redefinition of Forecast Models.

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