Oracle® Retail Science Cloud Services Implementation Guide Release 18.0.002 F20720-01 |
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This chapter provides an overview of the Returns Logistics or Returns Optimization capabilities available.
The Returns Logistics process takes data inputs such as price, inventory, shipping costs, price ladders, sales, and returns information and passes them into a scientific algorithm that makes recommendations about products that have been returned. These recommendations include where to ship them from, where to ship them to, and in what quantities.
The bulk of the processing occurs outside of the database; however, the correct data must be in place in order for the algorithm to produce meaningful output. Internal database processes reside in the application in order to serve the data to the external algorithm.
The Returns Logistics process runs weekly as a batch process for products in the top x selling categories, where x is a database configuration parameter stored in the RSE_CONFIG table.
The Returns Logistics process uses data from both RI and ORASE databases. Price, inventory, sales, and returns data are all pulled directly from the RI database before being served to the external algorithm. The configuration parameters for the process are stored in ORASE. For example, the process can be executed on the value for the parameter Top Selling Categories. The data for the top selling categories (which in turn determine the subset list of products), resides solely within the application. Price ladders, shipping costs, and price elasticity are all data sources provided directly within the application.
Table 13-1 Data Inputs
Data Input | Source Database | Source Table |
---|---|---|
Current Price |
RI |
W_RTL_PRICE_IT_LC_G |
Regular Price |
RI |
W_RTL_PRICE_IT_DY_F |
Inventory |
RI |
W_RTL_INV_IT_LC_G |
Sales |
RI |
W_RTL_SLS_IT_LC_WK_A |
Returns |
RI |
W_RTL_SLS_IT_LC_WK_A |
Season |
RI |
W_RTL_SEASON_D |
Season Products |
RI |
W_RTL_SEASON_IT_D |
Product |
RI |
W_PRODUCT_D |
Calendar |
RI |
W_MCAL_DAY_D, W_MCAL_WEEK_D |
Shipping Costs |
ORASE |
RL_SHIPPING_COST |
Price Ladder |
ORASE |
RL_PRICE_LADDER |
Price Elasticity |
ORASE |
RL_PRICE_ELASTICITY |
Top Selling Categories |
ORASE |
RSE_SLS_PH_LC_WK_A |
Calendar Hierarchy |
ORASE |
RSE_CAL_SRC_XREF |
Product Hierarchy |
ORASE |
RSE_PROD_HIER_TC, RSE_PROD_SRC_XREF |
Location Hierarchy |
ORASE |
RSE_LOC_SRC_XREF |
The external algorithm of the Returns Logistics process writes recommendations back into the application database. Database tables are written to that provide shipping recommendations (for a quantity of product from location to location) and also the optimal demand and revenue of a product at a location.
These recommendations answer the question "What should be done with the products that have been returned?" Answers include shipping them from one store to another where demand may be higher.
Table 13-2 Data Outputs
Data Output | Database | Table |
---|---|---|
Shipping Recommendation |
ORASE |
RL_SHIPPING_RECOMMENDATION |
Optimal Demand |
ORASE |
RL_OPT_DEM_REV |
In addition to the tables, two corresponding database views are provided that can be used as the basis for an export process for example, to RI) as required.