| Oracle® Retail Advanced Inventory Planning Implementation Guide Release 14.1.2 E71752-02 |
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| Oracle® Retail Advanced Inventory Planning Implementation Guide Release 14.1.2 E71752-02 |
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This chapter describes AIP integration with applications within the Integrated Inventory Planning Suite.
The Integrated Inventory Planning Suite is the integration of Demand Forecasting (RDF), Advanced Inventory Planning (AIP), Replenishment Optimization (RO), Oracle Retail Advanced Science Engine (ORASE) and Analytic Parameter Calculator Replenishment Optimization (APC RO) as a full-suite inventory management solution for retailers.
This solution supports data sharing among these applications. Note that the data sharing functionality is not dependent on the presence of all these applications. The defined data sharing between any of the applications works for the entire suite as well as for a subset of the applications.
Figure 8-2 shows the integration of the Integrated Inventory Planning Suite applications and the flow of data among those applications. Note that Figure 8-2 shows a replenishment system. This can be AIP or any other replenishment system. The demand forecasting application can be RDF or any other forecasting system.
These descriptions explain each of the data flows in Figure 8-2
The following data flow is from a Demand Forecasting Application (such as RDF) to APC RO:
Sends historic demand forecasts for a forecast horizon for a series of forecast start dates. It sends a separate forecast file for each forecast start date.
The following data flow is from a Demand Forecasting Application (such as RDF) to a Replenishment System (such as AIP):
Sends time-phased demand forecasts (starting today and looking forward) at the item/store level.
Sends the cumulative standard deviation of the forecast. This is needed for the calculation of safety stock.
The following data flow is from APC RO to RO:
Sends simulation information and statistics:
Item/location/scenario level information
Mean/variability/lead time grouping level information
Mean/variability grouping/scenario level information
Scenario level information
The following data flow is from a Replenishment System (such as AIP) to RO:
Sends the lead time in flat files. The lead time (or order cycle) pattern generally contains the same lead time on all days that have a lead time; however, the lead time can increase for the weekend. Therefore, the most common lead time is found during the business week.
Sends the review time in flat files. Review time is the number of days until the next possible receipt. It is a key factor in determining the minimum amount of projected stock that should be available until the next receipt. Since review time can change daily, the minimum available inventory must cover the longest review time in order to avoid stock outs.
Sends the ordering pack size in flat files. The ordering pack size is the preferred pack size of an item that should be ordered from a source to the destination.
The following data flow is from a Demand Forecasting Application (such as RDF) to RO:
Sends time-phased demand forecasts (starting today and looking forward) at the item/store level. This allows you to understand how the replenishment settings would perform based on that demand.
Sends the cumulative standard deviation of the forecast. This is needed for the calculation of safety stock.
The following data flow is from RO to a Replenishment System (such as AIP):
Sends the recommended replenishment methods and parameters in flat files based on the schedule that you set.
For AIP specifically, RO performs the necessary transformations needed to convert order-based replenishment parameters to a relevant form before sending it to AIP since AIP is a receipts-based system.
