Promo Ad Planning
The Promotion Ad Planning group for the Promotion Optimization application includes the processing jobs that you can perform to plan promotions.
Note
Do not submit these jobs through the Operations tab page. Initiate these jobs using the Promotion Optimization application.
Model Scenario
This job performs store-level modeling on products and stores in a scenario on a promotion optimization event. It calls the ESME science component, which generates a demand model for every product/store combination on the scenario.
Model Product
This job performs store-level modeling on a particular product at all stores in a scenario on a promotion optimization event using the Model Product job. It calls the ESME science component, which generates a demand model for every product/store combination selected
Forecast Scenario
This job performs forecasting on products and stores in a scenario on a promotion optimization event. It calls the ESME science component, and then calls the MFE science component, which generates a forecast for every product/store combination on the scenario. This job uses the demand models created by the ESME science component to calculate the forecast.
Forecast Product
This job performs forecasting on a single product and all stores in a scenario on a promotion optimization event using the Forecast Product job. It calls the ESME science component, and then calls the MFE science component, which generates a forecast for every product/store combination selected. It uses the demand models created by the ESME science component to calculate the forecast.
Recommended Scenario Products/Offers
This job models and optimizes products and offers, and forecasts a scenario on a promotion optimization event. This job calls the following in sequence:
ESME science component, which generates demand models for every product/store combination in the scenario
POE science component, which selects the products and associated offers to be put on promotion
MFE science component, which forecasts the products on the promotion
Recommended Product Offer
This job models and optimizes the offers, and forecasts a product on a scenario on a promotion optimization event. It calls the following in sequence:
ESME science component, which generates demand models for every product/store combination selected
POE science component, which selects the offer for the product
MFE science component, which forecasts the product