3 AI Foundation Applications Standalone Processes

The primary function of standalone processes in the AI Foundation Applications (AIF APPS schedule in POM) is to move data from the data warehouse or external sources into the application data models, or to move data out of the platform to send it elsewhere. These process flows differ from the AIF DATA jobs in that most processes contain only one POM job. That job contains many individual programs in it, but the execution flow is determined by parameters passed into the job. This is done by editing the job’s parameters from the Batch Monitoring screen in POM:

Each letter in the string refers to a specific program or step in the execution flow, which will be covered in more detail in the sections of this chapter. When multiple parameters are used, such as when start/end dates are provided, the format of those parameters uses double-hyphens and colons as shown here:

This chapter includes the following programs:

• Customer Metrics - Base Calculation

• Customer Metrics - Final Calculation

• Customer Metrics - Loyalty Score

• Fake Customer Identification

• File Export Execution

• File Export Preparation

• Location Ranging

• Master Data Load - AA

• Master Data Load - AC

• Master Data Load - AE

• Master Data Load - Common

• Master Data Load - DT

• Master Data Load - IO

• Master Data Load - Forecast Estimation

• Master Data Load - LPO

• Master Data Load - SO

• Master Data Load - SPO

• Lifecycle Pricing Optimization Run

• Product Location Ranging

• Sales Aggregation - Customer Segment

• Sales Aggregation - Product

• Sales Aggregation - Product Attribute

• Sales Aggregation - Product Hierarchy

• Sales Aggregation - Weekly

• Sales Forecast Aggregation - Product Attribute (Legacy)

• Sales Forecast Aggregation - Product Hierarchy (Legacy)

• Sales Shares - Product Attribute

• Sales Transaction Load

Customer Metrics - Base Calculation

Module Name	RSE_CUST_ENG_METRIC_BASE_ADHOC
Description	Calculate base values for customer engagement metrics.
Dependencies	RSE_SLS_TXN_ADHOC
Business Activity	Analytical Batch Processing

Design Overview

This process aggregates sales transaction data for use in customer engagement metric calculations. The process runs for a range of weeks, depending on which weeks of sales have had a run already performed. It will output the results to a database table for downstream consumption. The RSE_SLS_TXN_ADHOC job is normally a prerequisite for this, as it is used to refresh or load additional sales data.

Running this process requires parameters to specify the start and end date range for which data should be processed. The -s parameter is for the Start Date and the -e parameter provides the End Date. Both are in format YYYYMMDD. For example:

-s YYYYMMDD -e YYYYMMDD -f Y

Key Tables Affected

Table	Usage
RSE_SLS_TXN	Input
RSE_SLS_BASE_ATTR	Output

Customer Metrics - Final Calculation

Module Name	RSE_CUST_ENG_METRIC_CALC_ADHOC
Description	Finalize the customer engagement metrics calculation.
Dependencies	RSE_CUST_ENG_METRIC_BASE_ADHOC
Business Activity	Analytical Batch Processing

Design Overview

This process calculates customer engagement metrics based on numerous inputs, including sales transaction aggregates (for behavioral and predictive metrics) and product attributes (for attribute loyalty metrics). Currently, supported product attributes must have a group type of BRAND, STYLE, COLOR, LOC_LOYALTY, or PRICE_EFF_LOYALTY, as defined in RSE_BUSINESS_OBJECT_ATTR_MD. The RSE_CUST_ENG_METRIC_BASE_ADHOC job is normally a prerequisite for this, as it calculates the aggregated customer sales data.

Running this process requires parameters to specify the start and end date range, for which data should be processed. The -s parameter is for the Start Date and the -e parameter provides the End Date. Both are in format YYYYMMDD. For example:

-s YYYYMMDD -e YYYYMMDD -f Y

Key Tables Affected

Table	Usage
RSE_SLS_BASE_ATTR	Input
RSE_PROD_ATTR	Input
RSE_CUST_ATTR_LOY_DTL	Input
RSE_CUST_SLS_ATTR	Output

Customer Metrics - Loyalty Score

Module Name	RSE_CUST_ATTR_LOY_ADHOC
Description	Calculate customer loyalty score metrics.
Dependencies	RSE_CUST_ENG_METRIC_BASE_ADHOC
Business Activity	Analytical Batch Processing

Design Overview

This process calculates customer engagement loyalty data based on numerous inputs, including sales transactions and product attributes. Currently, supported product attributes must have a group type of BRAND, STYLE, COLOR, LOC_LOYALTY, or PRICE_EFF_LOYALTY, as defined in RSE_BUSINESS_OBJECT_ATTR_MD. The RSE_CUST_ENG_METRIC_BASE_ADHOC job is normally a prerequisite for this, as it calculates the aggregated customer sales data.

Running this process requires parameters to specify the start and end date range, for which data should be processed. The -s parameter is for the Start Date and the -e parameter provides the End Date. Both are in format YYYYMMDD. For example:

-s YYYYMMDD -e YYYYMMDD -f Y

Key Tables Affected

Table	Usage
RSE_SLS_BASE_ATTR	Input
RSE_PROD_ATTR	Input
RSE_CUST_ATTR_LOY_DTL	Output

Data Cleanup Utility

Module Name	AIF_APPS_MAINT_DATA_CLEANUP_ADHOC_PROCESS
Description	Erases database tables within the AIF Apps database schema (RASE01)
Dependencies	None
Business Activity	Initial Data Loads

Design Overview

As you are loading and reloading data into AIF applications, you may run into conflicts or constraint violations where you need to purge old data that is causing issues. An ad hoc process is available in the AIF APPS schedule to facilitate this cleanup activity. The job invokes the rse_data_cleanup.ksh program. The cleanup that will be done is determined based on the parameters passed into the POM job for each execution. Initially, no parameter is indicated in the job in POM. The user enters the parameters depending on their requirement. This truncates the tables based on the entered parameters. Use the table below to identify the parameters you need to use.

-h <input value> This parameter indicates which hierarchy type will be cleaned up (PRODUCT, LOCATION, CALENDAR, PROMOTION, or CUSTSEG).

Valid values:

• ALL- All Hierarchy records will be cleaned up. This includes Product, Location, Calendar, Promotion and Customer Segment Hierarchies. Alternate Hierarchies are also included for location and product.

• PRODUCT - Product Hierarchy Data

• LOCATION - Location Hierarchy Data

• CALENDAR - Calendar Hierarchy Data

• PROMOTION - Promotion Hierarchy Data

• CUSTSEG - Customer Segment Hierarchy Data

  Note:

  If this parameter is not indicated, no hierarchies will be cleaned up even if you are using the other parameters to clean app data.

-r <input value> This parameter indicates whether all tables referencing the hierarchy IDs directly or indirectly will also be deleted.

Valid values:

• Y (Yes)

• N (No)

Default value is Y to ensure no stranded records will remain. This means any data referencing a hierarchy ID will be purged along with the hierarchy itself. All affected tables will be deleted in full; no data will be preserved.

-a <input value> This parameter indicates whether AIF application tables (such as for PMO, SPO, and so on) will be deleted.

Global Values:

• ALL - All application tables will be cleaned up.

• NONE - Application tables will NOT be cleaned up.

Default value is ALL to avoid any stranded records that will no longer work after data is purged. This parameter can also be used to clean up specific application tables that reference the hierarchies (directly or indirectly).

Application Values:

• CDT (Customer Decision Tree)

• CIS (Advanced Clustering & Segmentation)

• DT (Demand Transference)

• IO (IPO - Inventory Optimization)

• MBA (Affinity Analysis / Market Basket Analysis)

• PMO (Lifecycle Pricing Optimization – PMO_* tables)

• PRO (Lifecycle Pricing Optimization – PRO_* tables)

• RODS (Retail Operational Data Store)

• SO (Space Optimization)

• SPO (Size Profile Optimization)

-o <input value> This parameter is to indicate whether ONLY the application data will be deleted, but not any hierarchies.

Valid values:

• Y (Yes)

• N (No)

Note:

Application Data parameter (-a) should also be indicated. Default value is N if not indicated. PMO and RODS don’t have specific app tables, hence they are not covered by this option. All affected tables will be deleted in full; no data will be preserved.

Examples

To clean up all the hierarchy tables together with dependent tables and app tables, add the following as the parameter in POM:

-h ALL -r Y -a ALL -o N

To clean up only the location hierarchy tables together with AIF Apps dependent tables and app tables, add the following as the parameter in POM:

-h LOCATION -r Y -a ALL -o N

To clean up only the application tables:

-a ALL -o Y

To clean up only a specific application (in this example, the CIS - Clustering application tables):

-a CIS -o Y

Fake Customer Identification

Module Name	RSE_FAKE_CUST_ADHOC
Description	Identify fake customers by looking through sales transaction data, so they can be automatically excluded from some applications.
Dependencies	RSE_SLS_TXN_ADHOC
Business Activity	Sales Preprocessing

Design Overview

This process analyzes sales transaction data looking for “fake” customers, which usually represent excessive sales attributed to a single customer ID. This could be caused by store cards used at the register, corporate cards used by many people, or wholesale transactions involving large numbers of sales. These kinds of transactions can have negative effects on processes like Demand Transference because they are not representative of real customer activity. The threshold for identifying a customer as fake is set using the RSE_CONFIG property FAKE_CUST_DAY_TXN_THRESHOLD.

Running this routine requires parameters to specify the start and end date range, for which data should be re-processed. The -s parameter is for the Start Date and the -e parameter provides the End Date. Both are in format YYYYMMDD. For example:

-s YYYYMMDD -e YYYYMMDD -f Y

Key Tables Affected

Table	Usage
RSE_SLS_TXN	Input
RSE_FAKE_CUST	Output

File Export Execution

Module Name	RSE_POST_EXPORT_ADHOC
Description	Runs the export processes for any prepared AI Foundation export files, which includes file movement, zipping, and export to SFTP.
Dependencies	RSE_EXPORT_PREP_ADHOC
Business Activity	Outbound Integrations

Design Overview

This process moves, zips, and exports files from the AI Foundation applications based on the file export type. It accepts a single input parameter for the file frequency type, using one of DAILY, WEEKLY, QUARTERLY, INTRADAY, or ADHOC. This process is the second step in the data flow and assumes files have already been prepared for export using the dependent process.

File Export Preparation

Module Name	RSE_EXPORT_PREP_ADHOC
Description	Export preparation job for a specific group of AI Foundation export files.
Dependencies	None
Business Activity	Outbound Integrations

Design Overview

This process will prepare a set of export files from the AI Foundation applications based on the file export type. It accepts a single input parameter for the file frequency type, using one of DAILY, WEEKLY, QUARTERLY, INTRADAY, or ADHOC. This is the first step in the data flow and does not perform the file movement to SFTP; it only prepares the files of the specified type so that the RSE_POST_EXPORT_ADHOC process can consume them.

Forecast Aggregates

Module Name	PMO_ACTIVITY_LOAD_ADHOC_PROCESS
Description	Refresh the PMO_ACTIVITIES table used by AIF forecasts to manually regenerate the aggregates used for specific run types.
Dependencies	None
Business Activity	Initial Data Loads

Design Overview

This process regenerates aggregate data on the PMO_ACTIVITIES table for a subset of forecast run types and time periods. You may want to use this process if you have loaded new historical data into AIF and want it reflected on your existing forecast run types. Make sure the run types are active in the UI before attempting to run this process on them. The process has 2 jobs: PMO_ACTIVITY_STG_ADHOC_JOB and PMO_ACTIVITY_LOAD_ADHOC_JOB. All of the parameters must be provided on the STG job.

Options:

• -n Number of weeks to process

• -f Force updates to existing data

• -s Start date in YYYYMMDD format

• -e End date in YYYYMMDD format

• -S Start calendar day ID

• -E End calendar day ID

• -w Calendar week ID to process

• -N New Forecast Run Type Aggregation Flag

• -r Forecast Run Type ID

• -? Display this usage information

Running this routine requires parameters to specify the start and end date range for weeks of data to process. The -s parameter is for the Start Date and the -e parameter provides the End Date. Both are in format YYYYMMDD. For example:

-s YYYYMMDD -e YYYYMMDD -f Y -N N

Lifecycle Pricing Optimization Run

Module Name	PRO_OPT_ADHOC
Description	Runs the LPO optimization process outside of the normal batch.
Dependencies	None
Business Activity	Analytical Batch Processing

Design Overview

This process triggers the lifecycle pricing optimization batch processing outside of the normal batch window. All of the necessary steps to calculate optimization results are included in the ad hoc job and no parameters are used. The process triggers the Java libraries on the application server that are responsible for the optimization.

Location Ranging

Module Name	DT_LOC_RANGE_ADHOC
Description	Refresh Location Ranging data for Demand Transference.
Dependencies	DT_PROD_LOC_RANGE_ADHOC
Business Activity	Application Setup

Design Overview

This process calculates SKU Counts for the available ranges of products, for a given CM Group, Store Location, and Week, which may be needed during implementation of Demand Transference when using CM Groups.

Running this routine requires parameters to specify the start and end date range for weeks of data to process. The -s parameter is for the Start Date and the -e parameter provides the End Date. Both are in format YYYYMMDD. For example:

-s YYYYMMDD -e YYYYMMDD -f Y

Key Tables Affected

Table	Usage
DT_PROD_LOC_STATUS	Input
DT_CM_GRP_LOC_STATUS_AGGR	Output

Master Data Load - AA

Module Name	MBA_MASTER_ADHOC_PROCESS
Description	Run the Affinity Analysis/Market Basket Analysis master script. This is the best way to execute all the initial processing steps for the MBA application module.
Dependencies	RSE_MASTER_ADHOC_PROCESS
Business Activity	Initial Data Loads

Design Overview

This process controls the master set of batch programs for loading data into the Affinity Analysis (also known as Market Basket Analysis or MBA) application. It accepts one or more single-character parameters to control which steps in the process are executed. Multiple steps executed in sequence should be passed as one string.

Options:

• -A Process all steps

• -R <Option> Resume processing all steps, starting with the step associated with the provided option (see below options) for order

• -e Execute MBA ETL routines

• -c Execute ARM configuration load routines

• -a Execute ARM processes

• -r Execute RI ARM processes

• -b Execute Baseline processes

• -? Display this usage information

Options -A and -R will enable processing of appropriate steps. Any switch provided more than once, or after a -A or -R will toggle the switch On/Off. This will enable excluding a small number of steps from processing, without requiring specifying all other switches

Example

-Aa will result in running all steps except -a

Master Data Load - AC

Module Name	CIS_MASTER_ADHOC_PROCESS
Description	Run the Advanced Clustering/Customer Segmentation master script. This is the best option to run all initial processing steps for the AC/CS modules. NOTE: when running through POM, if any -- options are required, use : instead of = to separate the option from the value.
Dependencies	RSE_MASTER_ADHOC_PROCESS
Business Activity	Initial Data Loads

Design Overview

This process controls the master set of batch programs for loading data into the Advanced Clustering and Customer Segmentation applications. It accepts one or more single-character parameters to control which steps in the process are executed. Multiple steps executed in sequence should be passed as one string.

Options:

• -A Process all steps

• -R <Option> Resume processing all steps, starting with the step associated with the provided option (see below options) for order

• -a Attribute Maintenance

• -h Product/Attribute Share Processing

• -t Loading cluster templates

• -v Setup a new version

• -s Update sales data for use by any versions

• -m Market Sales Aggregation load

• -c Update new versions with all the attribute summary information

• -? Display this usage information

Options -A and -R will enable processing of appropriate steps. Any switch provided more than once, or after a -A or -R will toggle the switch On/Off. This will enable excluding a small number of steps from processing, without requiring specifying all other switches.

Example

• -Ah will result in running all steps except -h

• --from Start date of the data processing timeframe. Must be provided in YYYYMMDD format with no spaces. For example, --from:20170101. Must be accompanied by the end date and optionally by the extfrom flag

• --to End date of the data processing timeframe. Must be provided in YYYYMMDD format with no spaces. For example, --to:20170201. Must be accompanied by the end date and optionally by the extto flag

• --extfrom Optional flag to indicate if the start date must be extended to the start of the week. Accepts Y or N (default). For example, --extfrom:Y, with no spaces

• --extto Optional flag to indicate if the end date must be extended to the end of the week. Accepts Y or N (default). For example, --extto:Y, with no spaces

Master Data Load - AE

Module Name	AE_MASTER_ADHOC_PROCESS
Description	Run the Attribute Extraction master script. This is the best way to trigger all initial processing for the AE application.
Dependencies	RSE_MASTER_ADHOC_PROCESS
Business Activity	Initial Data Loads

Design Overview

This process controls the master set of batch programs for loading data into the Attribute Extraction application. It accepts one or more single-character parameters to control which steps in the process are executed. Multiple steps executed in sequence should be passed as one string.

Options:

• -A Process all steps

• -R <Option> Resume processing all steps, starting with the step associated with the provided option (see below options) for order

• -G Global Lists of Strings loading

• -C Product Categories loading

• -P Product loading

• -? Display this usage information

Options -A and -R will enable processing of appropriate steps. Any switch provided more than once, or after a -A or -R will toggle the switch On/Off. This will enable excluding a small number of steps from processing, without requiring specifying all other switches.

Example

-AGP will result in running all steps except -G and -P

Master Data Load - Common

Module Name	RSE_MASTER_ADHOC_PROCESS
Description	Run the AI Foundation Cloud Services common master script. This is the first step that should be run once data has been loaded into RI, and is ready to initialize data needed by all the other application modules.
Dependencies	None
Business Activity	Initial Data Loads

Design Overview

This process controls the master set of batch programs for loading data into the Retail AI Foundation Cloud Services foundation data tables. This process is generally required as the first step in loading data to any AI Foundation application. It accepts one or more single-character parameters to control which steps in the process are executed. Multiple steps executed in sequence should be passed as one string.

Options:

• -A Process all steps

• -R <Option> Resume processing all steps, starting with the step associated with the provided option (see below options for order)

• -p Product Hierarchy

• -c CM Group Product Hierarchy

• -l Location Hierarchy

• -t Trade Area Location Hierarchy

• -X Alternate (Flex) Product & Location Hierarchy

• -d Calendar Hierarchy

• -r Promotion Hierarchy

• -g Customer Segment Hierarchy

• -s Consumer segment data

• -P Product Attributes

• -L Location attributes

• -K Like Location / Product data load

• -G Customer Segment Attributes

• -z Price zone ETL

• -h Holiday data load

• -i Inventory data load

• -x Sales transaction data

• -f Fake customer data load

• -k Fake customer data identification

• -w Weekly Aggregate Sales data (Load or Calc)

• -a Aggregate Sales data processing

• -F Forecast Aggregate Sales data processing

• -C Price and Cost data load

• -u UDA load

• -E Export Group Setup

• -W Weather Driven Demand data load

• -T Weekly Return transactions

• -e Weekly Return Aggregation

• -S Weekly Sales Return Price Consolidation

• -m Customer Engagement Attribute

• -o Forecast Plan Load

• -b Budget Allocation Load

• -O Order Cost data Load

• -n Promotion data Load

• -D Daily data Load

• -U Supplier, Supplier Item, Daily Supplier Cost, Supplier Inv Mgmt Load

• -N Season Phase Item Load

• -J Rules Engine data for PRO

• -j Rules Engine data for IO

• -q Group Flex Load

• -H Buyer, Allocation, Purchase Order, Transfer Loads

• -M Forecast Spread Profiles Load

• -V Forecast Lifecycle Classification Load

• -v Exit Dates Load

• -B Baseline Sales and Sku/Store Ranging Calculations

• -? Display this usage information

Options -A and -R will enable processing of appropriate steps. The A flag indicates to run all steps except the letters following it, while the R flag indicates to resume from the letter following it. Any switch provided more than once, or after a -A or -R will toggle the switch On/Off. This will enable excluding a small number of steps from processing, without requiring specifying all other switches.

Examples:

• -Act will result in running all steps except -c and -t

• -Rc -t will result in running all steps starting with c, but excluding step t

• -pldgxwa will result in extracting the product, location, calendar, customer segment, and sales data from the data warehouse and populating all the core AIF aggregates for sales (this is a common set of load steps for first-time runs)

Additional optional flags may be specified after the sequence of steps is provided, as listed below. Date ranges will apply to any step that extracts historical data, such as sales and inventory loads. If no date range is provided, then the job will attempt to determine the range of dates in the data warehouse and extract that entire range. If a step has already extracted data from the data warehouse once, then you must specify dates on additional runs of that step to ensure only that date range is re-extracted.

• --alt_prod_hier Run only the alternate (flex) product hierarchy load steps

• --alt_loc_hier Run only the alternate (flex) location hierarchy load steps

• --alt_hier_setup Run only the alternate (flex) hierarchy setup steps

• --prioritizefiles Specifies that data files should be prioritized as the source for a load instead of RI, where it is possible to get data from either source

• --from Start date of the data processing timeframe. Must be provided in YYYYMMDD format with no spaces. For example --from:20170101. Must be accompanied by the end date and optionally by the extfrom flag

• --to End date of the data processing timeframe. Must be provided in YYYYMMDD format with no spaces. For example, --to:20170201. Must be accompanied by the end date and optionally by the extto flag

• --extfrom Optional flag to indicate whether the start date must be extended to the start of the week. Accepts Y or N (default). For example, --extfrom:Y, with no spaces

• --extto Optional flag to indicate whether the end date must be extended to the end of the week. Accepts Y or N (default). For example, --extto:Y, with no spaces

Master Data Load - DT

Module Name	DT_MASTER_ADHOC_PROCESS
Description	Run the Demand Transference master script. This is the best way to run all the initial processing steps needed by the DT application module. NOTE: when running through POM, if any -- options are required, use : instead of = to separate the option from the value.
Dependencies	RSE_MASTER_ADHOC_PROCESS
Business Activity	Initial Data Loads

Design Overview

This process controls the master set of batch programs for loading data into the Demand Transference application. It accepts one or more single-character parameters to control which steps in the process are executed. Multiple steps executed in sequence should be passed as one string.

Options:

• -A Process all steps

• -R <Option> Resume processing all steps, starting with the step associated with the provided option (see below options) for order

• -r Load Store Sku Ranging Data

• -l Aggregate Location Ranging Statistics

• -b Calculate Baseline

• -i Update model intervals

• -g Run Group Load

• -? Display this usage information

Options -A and -R will enable processing of appropriate steps. Any switch provided more than once, or after a -A or -R will toggle the switch On/Off. This will enable excluding a small number of steps from processing, without requiring specifying all other switches.

Examples

• -Ab will result in running all steps except -b

• --from Start date of the data processing timeframe. Must be provided in YYYYMMDD format with no spaces. For example, --from:20170101. Must be accompanied by the end date and optionally by the extfrom flag

• --to End date of the data processing timeframe. Must be provided in YYYYMMDD format with no spaces. For example, --to:20170201. Must be accompanied by the end date and optionally by the extto flag

• --extfrom Optional flag to indicate if the start date must be extended to the start of the week. Accepts Y or N (default). For example, --extfrom:Y, with no spaces

• --extto Optional flag to indicate if the end date must be extended to the end of the week. Accepts Y or N (default). For example, --extto:Y, with no spaces

Master Data Load - Forecast Estimation

Module Name	PMO_MASTER_ADHOC_PROCESS
Description	Run the master script for processing forecast input loads and calculations. This is the way to prepare certain inputs for the forecast such as returns and activities tables.
Dependencies	RSE_MASTER_ADHOC_PROCESS
Business Activity	Initial Data Loads

Design Overview

This process controls the master set of batch programs for loading data into the Forecasting module which is in addition to the common master data load (RSE_MASTER_ADHOC_PROCESS). It accepts one or more single-character parameters to control which steps in the process are executed. Multiple steps executed in sequence should be passed as one string.

Options:

• -A Process all steps

• -R <Option> Resume processing all steps, starting with the step associated with the provided option (see below options) for order

• -a Activities

• -d Return Data Preparation

• -c Return Calculation

• -h Holiday load

• -? Display this usage information

Options -A and -R will enable processing of appropriate steps. Any switch provided more than once, or after a -A or -R will toggle the switch On/Off. This will enable excluding a small number of steps from processing, without requiring specifying all other switches.

The activities load (-a) supports date parameters when you are reloading data for a specific historical period. Both parameters should be provided when used.

• --from Start date of the data processing timeframe. Must be provided in YYYYMMDD format with no spaces. For example --from:20170101. Must be accompanied by the end date and optionally by the extfrom flag

• --to End date of the data processing timeframe. Must be provided in YYYYMMDD format with no spaces. For example, --to:20170201. Must be accompanied by the end date and optionally by the extto flag

Examples

-Adh will result in running all steps except -d and -h

-a --from:20210502 --to:20210807 will process the historical activities data between 2021-05-02 and 2021-08-07

Master Data Load - IO

Module Name	IO_MASTER_ADHOC_PROCESS
Description	Run the Inventory Planning Optimization-Optimization master script. This is the best option for running all the initial processing steps needed by the Inventory Planning Optimization-Optimization application module.
Dependencies	RSE_MASTER_ADHOC_PROCESS
Business Activity	Initial Data Loads

Design Overview

This process controls the master set of batch programs for loading data into the Inventory Planning Optimization-Inventory Optimization application. It accepts one or more single-character parameters to control which steps in the process are executed. Multiple steps executed in sequence should be passed as one string.

Options:

• -A Process all steps

• -R <Option> Resume processing all steps, starting with the step associated with the provided option (see below options) for order

• -a Replenishment Attributes at Product/Location or Group level

• -s Seasons

• -r Strategy Rules

• -C Supply chain for Distribution Networks

• -S Review Schedule

• -L Lead Time of Internal Locations

• -P Supply chain for Procurement Networks

• -Q Supplier Review Cycles

• -T Lead Time of Suppliers

• -M Internal Order Multiples

• -m Supplier Order Multiples

• -l Rounding Levels

• -I Load IO rules data to rules engine

• -N Load N-tier interface data to rules engine

• -? Display this usage information

Options -A and -R will enable processing of appropriate steps. Any switch provided more than once, or after a -A or -R will toggle the switch On/Off. This will enable excluding a small number of steps from processing, without requiring specifying all other switches.

Example

-AaP will result in running all steps except -a and -P

Master Data Load - LPO

Module Name	PRO_MASTER_ADHOC_PROCESS
Description	Run the Lifecycle Pricing Optimization master script. This is the best option for running all the initial processing steps for the LPO application module.
Dependencies	RSE_MASTER_ADHOC_PROCESS
Business Activity	Initial Data Loads

Design Overview

This process controls the master set of batch programs for loading data into the Lifecycle Pricing Optimization application. It accepts one or more single-character parameters to control which steps in the process are executed. Multiple steps executed in sequence should be passed as one string.

Options:

• -A Process all steps

• -R <Option> Resume processing all steps, starting with the step associated with the provided option (see below options) for order

• -b Baseline

• -c Customer Segment Lifetime Value

• -i Inventory Aggregation

• -f Lifecycle Fatigue

• -p Promotion

• -l Promotion Lift

• -C Price and Cost for Promotion/Markdown Recommendations

• -e Price Elasticity

• -L Price Ladder

• -r Sales Return

• -s Season

• -P Season Product

• -d Season Period

• -E Markdown Day of Week

• -y Seasonality

• -D Model Dates

• -O Country Locale

• -F Forecast Adjustment

• -W Days of Week Profile

• -u Load Optimization rules for Promotion/Markdown Recommendations (using interface)

• -G Load Optimization rules for Regular Recommendations (using interface)

• -M Future Markdowns

• -U Product Location CDA Flex Facts for Promotion/Markdown Recommendations

• -g Product Location CDA Flex Facts for Regular Recommendations

• -n Inventory Aggregation for Regular Recommendations

• -o Price and Cost for Regular Recommendations

• -q Activities aggregation for Regular Recommendations

• -S Load Trailing metrics for Promotion/Markdown Recommendations

• -? Display this usage information

Options -A and -R will enable processing of appropriate steps. Any switch provided more than once, or after a -A or -R will toggle the switch On/Off. This will enable excluding a small number of steps from processing, without requiring specifying all other switches.

Example

-AbP will result in running all steps except -b and -P

Master Data Load - SO

Module Name	SO_MASTER_ADHOC_PROCESS
Description	Run the Space Optimization master script. This is the best way to run all the initial steps for the SO application module.
Dependencies	RSE_MASTER_ADHOC_PROCESS
Business Activity	Initial Data Loads

Design Overview

This process controls the master set of batch programs for loading data into the Assortment & Space Optimization application. It accepts one or more single-character parameters to control which steps in the process are executed. Multiple steps executed in sequence should be passed as one string.

Options:

• -A Process all steps

• -R <Option> Resume processing all steps, starting with the step associated with the provided option (see below options) for order

• -F Assortment Finalization

• -a Assortment

• -h Placeholder Product Loading

• -M Product Cluster mapping

• -C Assortment product location forecast and price/cost

• -f Assortment Forecast loading

• -r Replenishment Parameters

• -S Product Stacking Height Limit

• -p Pog Loading

• -b Bay/Fixture Loading

• -y Display Style Loading

• -c Product Fixture Configuration Loading

• -P Perform Product Attribute maintenance

• -m Assortment Mapping

• -v Global Validation

• -s Assortment to POG mapping

• -g POG Set location creation

• -? Display this usage information

Options -A and -R will enable processing of appropriate steps. Any switch provided more than once, or after a -A or -R will toggle the switch On/Off. This will enable excluding a small number of steps from processing, without requiring specifying all other switches.

Example

-AaP will result in running all steps except -a and -P

Master Data Load - SPO

Module Name	SPO_MASTER_ADHOC_PROCESS
Description	Run the Size Profile Optimization master script. This is the best way to run all the initial processing steps needed by the SPO application module. NOTE: when running through POM, if any -- options are required, use : instead of = to separate the option from the value.
Dependencies	RSE_MASTER_ADHOC_PROCESS
Business Activity	Initial Data Loads

Design Overview

This process controls the master set of batch programs for loading data into the Size Profile Optimization application. It accepts one or more single-character parameters to control which steps in the process are executed. Multiple steps executed in sequence should be passed as one string.

Options:

• -A Process all steps

• -R <Option> Resume processing all steps, starting with the step associated with the provided option (see below options) for order

• -S Season Data Load

• -r Size Range Data Load

• -s Size Data Load

• -p Product Size Data Load

• -l Sub-Size Range Product Location Data Load

• -? Display this usage information

Options -A and -R will enable processing of appropriate steps. Any switch provided more than once, or after a -A or -R will toggle the switch On/Off. This will enable excluding a small number of steps from processing, without requiring specifying all other switches.

Example

• -Ar will result in running all steps except -r

• --from Start date of the data processing timeframe. Must be provided in YYYYMMDD format with no spaces. For example, --from:20170101. Must be accompanied by the end date and optionally by the extfrom flag

• --to End date of the data processing timeframe. Must be provided in YYYYMMDD format with no spaces. For example, --to:20170201. Must be accompanied by the end date and optionally by the extto flag

• --extfrom Optional flag to indicate if the start date must be extended to the start of the week. Accepts Y or N (default). For example, --extfrom:Y, with no spaces

• --extto Optional flag to indicate if the end date must be extended to the end of the week. Accepts Y or N (default). For example, --extto:Y, with no spaces

Product Location Ranging

Module Name	DT_PROD_LOC_RANGE_ADHOC
Description	Refresh Product Location Ranging data for Demand Transference.
Dependencies	W_RTL_IT_LC_D_JOB (in RI)
Business Activity	Application Setup

Design Overview

This process extracts the item/location ranging information from Retail Insights table W_RTL_IT_LC_D. This process is also performed in the DT master batch process, but it can be run on its own if you are modifying the data and need to reload it.

Running this routine requires parameters to specify the start and end date range, for which data should be re-processed from the W_RTL_IT_LC_D table or from AI Foundation sales tables. The -s parameter is for the Start Date and the -e parameter provides the End Date. Both are in format YYYYMMDD. For example:

-s YYYYMMDD -e YYYYMMDD -f Y

Key Tables Affected

Table	Usage
W_RTL_IT_LC_D	Input
DT_PROD_LOC_LAST_SLS	Input
DT_PROD_LOC_STATUS	Output

Sales Aggregation – Cumulative Sales

Module Name	PMO_CUMUL_SLS_ADHOC_PROCESS
Description	Creates aggregate cumulative sales data for Lifecycle Pricing Optimization.
Dependencies	RSE_MASTER_ADHOC_PROCESS
Business Activity	Initial Data Loads

Design Overview

This process allows the user to execute the cumulative sales aggregation for Lifecycle Pricing Optimization application in an ad hoc manner. When the user creates a new forecast run type, this aggregation is automatically called as part of “Start Data Aggregation”. This requires that sales aggregations have already been performed using the RSE_MASTER ad hoc process, and inventory position/receipts data has already been loaded into the data warehouse and AIF (so that first receipt dates can be used).

Running this process requires parameters to specify the start and end date range for which data should be processed. The -s parameter is for the Start Date and the -e parameter provides the End Date. Both are in format YYYYMMDD. For example:

-s YYYYMMDD -e YYYYMMDD -f Y

The process has the following list of supported options. All job parameters are passed into the PMO_CUMUL_SLS_SETUP_ADHOC_JOB process when invoking it from Postman.

• -n Number of weeks to process

• -f Force update of existing data - Y/N (Default)

• -s Start date yyyymmdd

• -e End date yyyymmdd

• -S Start calendar day ID

• -E End calendar day ID

• -w Calendar Week ID to process

• -N New Forecast Run Type Aggregation Flag - Y/N

Key Tables Affected

Table	Usage
RSE_SLS_PR_LC_CS_WK	Input
RSE_INV_PR_LC_HIST	Input
RSE_FCST_RUN_TYPE	Input
RSE_FCST_DFLT_PARAMETER	Input
PMO_CUM_SLS	Output

Sales Aggregation - Customer Segment

Module Name	RSE_WKLY_SLS_CUST_SEG_ADHOC
Description	Aggregates Sales Transaction data to Weekly Customer Segment Sales tables.
Dependencies	RSE_SLS_TXN_ADHOC
Business Activity	Initial Data Loads

Design Overview

This process aggregates sales data by customer segment for use in AI Foundation applications. The RSE_SLS_TXN_ADHOC job is normally a prerequisite for this, as it is used to refresh or load additional sales data.

Running this process requires parameters to specify the start and end date range, for which data should be processed. The -s parameter is for the Start Date and the -e parameter provides the End Date. Both are in format YYYYMMDD. For example:

-s YYYYMMDD -e YYYYMMDD -f Y

Key Tables Affected

Table	Usage
RSE_SLS_TXN	Input
RSE_CUSTSEG_CUST_XREF	Input
RSE_CUSTSEG_SRC_XREF	Input
RSE_SLS_PR_LC_CS_WK	Output

Sales Aggregation - Product

Module Name	RSE_WKLY_SLS_PR_AGGR_ADHOC
Description	Calculates Product-based sales aggregate tables.
Dependencies	RSE_WKLY_SLS_ADHOC
Business Activity	Initial Data Loads

Design Overview

This process aggregates sales data by product for use in AI Foundation applications. The RSE_WKLY_SLS_ADHOC job is normally a prerequisite for this, as it is used to refresh or load additional sales data.

Running this process requires parameters to specify the start and end date range, for which data should be processed. The -s parameter is for the Start Date and the -e parameter provides the End Date. Both are in format YYYYMMDD. For example:

-s YYYYMMDD -e YYYYMMDD -f Y

Key Tables Affected

Table	Usage
RSE_SLS_PR_LC_WK	Input
RSE_SLS_PR_WK_A	Output

Sales Aggregation - Product Attribute

Module Name	RSE_WKLY_SLS_PH_ATTR_AGGR_ADHOC
Description	Calculates Product Attribute-based sales aggregate tables.
Dependencies	RSE_WKLY_SLS_ADHOC
Business Activity	Initial Data Loads

Design Overview

This process aggregates sales data by product attribute and product hierarchy levels for use in AI Foundation applications. The RSE_WKLY_SLS_ADHOC job is normally a prerequisite for this, as it is used to refresh or load additional sales data.

Running this process requires parameters to specify the start and end date range, for which data should be processed. The -s parameter is for the Start Date and the -e parameter provides the End Date. Both are in format YYYYMMDD. For example:

-s YYYYMMDD -e YYYYMMDD -f Y

Key Tables Affected

Table	Usage
RSE_SLS_PR_LC_WK	Input
RSE_PROD_ATTR	Input
RSE_SLS_PH_ATTR_LC_WK_A	Output

Sales Aggregation - Product Hierarchy

Module Name	RSE_WKLY_SLS_PH_AGGR_ADHOC
Description	Calculates Product Hierarchy-based sales aggregate tables.
Dependencies	RSE_WKLY_SLS_ADHOC
Business Activity	Initial Data Loads

Design Overview

This process aggregates sales data by product hierarchy levels for use in AI Foundation applications. The RSE_WKLY_SLS_ADHOC job is normally a prerequisite for this, as it is used to refresh or load additional sales data.

Running this process requires parameters to specify the start and end date range, for which data should be processed. The -s parameter is for the Start Date and the -e parameter provides the End Date. Both are in format YYYYMMDD. For example:

-s YYYYMMDD -e YYYYMMDD -f Y

Key Tables Affected

Table	Usage
RSE_SLS_PR_LC_WK	Input
RSE_SLS_PH_LC_WK_A	Output

Sales Aggregation - Weekly

Module Name	RSE_WKLY_SLS_ADHOC
Description	Aggregates Sales Transaction data to week level tables.
Dependencies	RSE_SLS_TXN_ADHOC
Business Activity	Initial Data Loads

Design Overview

This process aggregates sales data by product hierarchy levels for use in AI Foundation applications. The RSE_SLS_TXN_ADHOC job is normally a prerequisite for this, as it is used to refresh or load additional sales data.

Running this process requires parameters to specify the start and end date range, for which data should be processed. The -s parameter is for the Start Date and the -e parameter provides the End Date. Both are in format YYYYMMDD. For example:

-s YYYYMMDD -e YYYYMMDD -f Y

Key Tables Affected

Table	Usage
RSE_SLS_TXN	Input
RSE_SLS_PR_LC_WK	Output

Sales Forecast Aggregation - Product Attribute (Legacy)

Module Name	RSE_SLSFC_PH_ATTR_AGGR_ADHOC
Description	Calculates Product Attribute-based sales forecast aggregate tables.
Dependencies	RSE_SLSFC_PH_AGGR_ADHOC
Business Activity	Initial Data Loads

Design Overview

This process aggregates sales forecast data by product attribute and product hierarchy levels for use in AI Foundation applications. The RSE_SLSFC_PH_AGGR_ADHOC job is normally a prerequisite for this, as it is used to refresh or load additional sales forecast data.

Running this process requires parameters to specify the start and end date range, for which data should be processed. The -s parameter is for the Start Date and the -e parameter provides the End Date. Both are in format YYYYMMDD. For example:

-s YYYYMMDD -e YYYYMMDD -f Y

Note:

This is a legacy process which uses a forecast interface from the data warehouse that has been deprecated.

Sales Forecast Aggregation - Product Hierarchy (Legacy)

Module Name	RSE_SLSFC_PH_AGGR_ADHOC
Description	Calculates Product Hierarchy-based sales forecast aggregate tables.
Dependencies	None
Business Activity	Initial Data Loads

Design Overview

This process aggregates sales forecast data by product hierarchy levels for use in AI Foundation applications.

Running this process requires parameters to specify the start and end date range, for which data should be processed. The -s parameter is for the Start Date and the -e parameter provides the End Date. Both are in format YYYYMMDD. For example:

-s YYYYMMDD -e YYYYMMDD -f Y

Note:

This is a legacy process which uses a forecast interface from the data warehouse that has been deprecated.

Sales Shares - Product Attribute

Module Name	AC_PROD_ATTR_LOC_SHARE_ADHOC
Description	Calculate product attribute sales shares for use in Advanced Clustering.
Dependencies	RSE_WKLY_SLS_ADHOC
Business Activity	Initial Data Loads

Design Overview

This process aggregates sales shares by product attribute for use in the Advanced Clustering application, specifically for use in clustering by product attribute. The RSE_WKLY_SLS_ADHOC job is normally a prerequisite for this, as it is used to refresh or load additional sales data at week level.

You also must choose which attribute mode is applicable for AC. If it is specified as CDT in RSE_CONFIG property PERF_CIS_APPROACH, then this program will expect additional information for CDT-like attribute groups in RSE_PROD_ATTR_GRP and RSE_PROD_ATTR_GRP_VALUE_MAP. It will also use sales data from RSE_SLS_PH_ATTR_LC_WK_A. For any other configuration, these tables are not required and a more generic approach will be taken.

Running this process requires parameters to specify the start and end date range, for which data should be processed. The -s parameter is for the Start Date and the -e parameter provides the End Date. Both are in format YYYYMMDD. For example:

-s YYYYMMDD -e YYYYMMDD -f Y

Key Tables Affected

Table	Usage
CIS_TCRITERIA_ATTR	Input
CIS_BUS_OBJ_TCRITERIA_ATT_XREF	Input
RSE_PROD_ATTR_GRP	Input
RSE_PROD_ATTR_GRP_VALUE_MAP	Input
RSE_SLS_PH_LC_WK_A	Input
RSE_SLS_PH_ATTR_LC_WK_A	Input
CIS_PROD_ATTR_LOC_SHARE	Output

Sales Transaction Load

Module Name	RSE_SLS_TXN_ADHOC
Description	Performs bulk retrieval of Sales Transaction data.
Dependencies	W_RTL_SLS_TRX_IT_LC_DY_F_JOB (in RI)
Business Activity	Initial Data Loads

Design Overview

This process extracts sales transactions from Retail Insights for use in all AI Foundation applications. The W_RTL_SLS_TRX_IT_LC_DY_F table in the data warehouse is the source of this data and the data warehouse must be populated with sales before this program runs.

Running this process requires parameters to specify the start and end date range, for which data should be processed. The -s parameter is for the Start Date and the -e parameter provides the End Date. Both are in format YYYYMMDD. For example:

-s YYYYMMDD -e YYYYMMDD -f Y

Key Tables Affected

Table	Usage
W_RTL_SLS_TRX_IT_LC_DY_F	Input
RSE_SLS_TXN	Output