PTP Introduction

This chapter covers the following topics:

Overview

Oracle Demantra's Predictive Trade Planning and Trade Promotion Optimization applications provide a complete Predictive Trade Planning (PTP) solution, is a powerful combination of a financial application to manage retailer trade funds coupled with a comprehensive promotion analysis tool specifically targeted at manufacturers for the purpose of better planning trade funds usage. The application considers sales, point of sale (POS), and syndicated data to provide advanced pre and post promotion analysis:

While Oracle Demantra's PTP solution provides standard, out-of-the-box configuration to achieve this, it also recognizes that every manufacturer manages accounts and trade promotions a bit differently. The application is highly configurable, allowing Oracle Demantra consultants and trained users to tailor them to the customer's needs, both today and as these needs evolve in the future.

Dashboard: Collaborator Workbench

The Collaborator Workbench is the starting point for Oracle Demantra's PTP solution. You log into the application and immediately have access to a number of key performance indicators (KPIs), displayed inside content panes. PTP provides several out-of-the-box content panes, and you can add others.

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From Collaborator Workbench, you can launch worksheets and review tasks. Each worksheet is a working environment designed to support specific business processes. In general, you can open worksheets from within Collaborator Workbench or from worksheets that are currently open.

For details, see Opening Worksheets.

See also Oracle Demantra Users Guide.

Predictive Trade Planning Business Processes and Worksheets

For PTP business processes, you start in the Collaborator Workbench and launch any of the PTP worksheets. The following diagram shows the overall workflow:

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PTP includes the following worksheets:

For details, see PTP: Managing and Viewing Quotas and Funds and PTP: Tracking Volume.

Promotion Modeling and Optimization Business Processes and Worksheets

For PMO business processes, you generally start in the Collaborator Workbench, and then open the Planning Environment worksheet. From there, you right-click a promotion and launch any of the PMO worksheets to see data for that promotion. Or, to compare multiple promotions, you right-click a scenario and launch a worksheet to view the promotions in that scenario side-by-side. From within an open worksheet, you can also launch a different worksheet, to look at the same promotion in a different way.

The following diagram shows the overall workflow:

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PMO includes the following worksheets:

Forecasting and Simulation

Typically, the Analytical Engine is run periodically in batch mode, perhaps weekly, to generate a forecast for all items and locations in the system. The forecast data includes total volume, base volume (volume in the absence of promotions), pre- and post-promotional volume, and volume due to cannibalization. This forecast, including the detailed breakdown of promotional effects, is available for future dates and for the past—so that you can better understand promotions that have already run.

Running the Analytical Engine in batch mode may take hours, depending on the volume of data, so PTP also provides the ability to run simulations. You can run a simulation quickly, see the results, and accept or reject them.

A simulation generates a forecast for a much smaller set of data, typically a single promotion, and provides immediate data for the total volume, base volume (volume in the absence of promotions), pre- and post-promotional volume. Depending on where you perform a simulation, you may also be able to see cannibalization; this depends on whether the worksheet contains all the data that the Analytical Engine needs to find cannibalization effects.

Optimization

The effectiveness of a promotion depends on many factors, as noted earlier. To help you find the most effective promotion for your needs, PTP provides the ability to optimize a promotion.

The Promotion Optimization module uses the previously stored results of the Analytical Engine and information about past variations in the promotions. You provide a specific goal (optimizing units, revenue, or profit) and constraints (such as minimum retailer margin), and the optimizer determines the best set of promotion properties.

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