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Dynamic Markdown Help Section

Dynamic Markdown Help Section

Store Grouping:

Defines the group of stores in which users would want to put the same discounts.

Column

Description

Column

Description

channel

Store’s channel

store_code

Store’s code

discount_store_group

Grouping of stores for which we would like to offer discounts. Eg., All the stores within a store group will have the same discount recommendation for any style

discount_flag

Indicates if the Store’s data needs to be included in Discounting analysis. The value should be either 1 or 0 if a Store needs to be enabled/disabled respectively

 

Store Group Style Discount Override:

Discount that should be considered for the store group-style combination irrespective of the suggestion

Column

Description

Column

Description

store_group

Store’s group

day

the date on which the override should be considered

style_code

Style’s code

discount

discount that should be considered for the store group-style combination irrespective of the suggestion

 

Style Grouping:

Defines a group of Styles(at any attribute level) for discounting, planned trading days, season type(OSM/NSM), and discount override

Column

 

Column

 

style_code

Style’s code

style_group

Grouping of styles at any attribute level, for example, a grouping of styles can be at category level or within T-shirts you want to compare polos separately and round neck separately

season_type

The season type of the style for example it could be OSM(Old Season Merchandize), NSM(New Season Merchandize), Fashion or Flexi

lifecycle

The planned trading days/ lifecycle (e.g.,60,90,etc) of the style.

discount_override

If there is a new season(NSM) and old season merchandise(OSM), brands may not want to change(increment) Discounting for certain styles of NSM. So we can add these NSM styles to the override. We will consider these override styles for comparison but still not change anything on them. Value could be 1 or 0 to consider or not consider style as an override respectively.

category

Syle’s category

subcategory

Style’s subcategory

gender

Style’s gender

brand

Style’s brand

master_category

Style’s master category

store_group

The store group for which this style grouping is to be followed

 

Discounting Guardrails:

Guardrails at Brand/Category/ Season level to limit the maximum discount or to avoid offering a discount on good performers

Column

Description

Column

Description

store_group

The store group for which the guardrails are being defined

brand

Style’s brand

category

Style’s category

season_type

The season type of the style for example it could be OSM(Old Season Merchandize), NSM(New Season Merchandize), Fashion, or Flexi

start_discount

Minimum discount put when a style is discounted for the first time

max_discount

Maximum discount to cap discount increments

incremental_discount

Percentage value by which the discount needs to be increased or reduced basis recommendation of Increase/Decrease in each cycle

 

Discounting Engine Logic:

Discounting decision matrix with ROS, lifecycle (DOH+Age), and health as factors

Column

Description

Column

Description

ros

Classification of unique ROS values as HIGH/MEDIUM/LOW in the product according to the benchmarks provided at store group style group level

doh_ageing

Classification of unique Lifecycle(DOH+Ageing) values as HIGH/MEDIUM/LOW in the product by comparing it with the planned trading days of the style provided by the brand

health

Classification of styles as HEALTHY/UNHEALTHY in the product according to the pivotal size benchmarks provided

sell_through

Classification of sell-through values as HIGH/MEDIUM/LOW in the product compared to the values input by the user.

action

Decision as Increase/Decrease/Continue according for the 3x3x2 matrix of ROS and Discount

perc_of_max_discount

Flexible capping based on a combination of high-medium-low

perc_of_discount_increment

Flexible increment based on a combination of high-medium-low

 

Sell Through Benchmarks:

Defines the sell-through benchmarks at a category and lifecycle level.

Column

Description

Column

Description

category

Style’s category

lifecycle

Planned lifecycle of styles in the respective category

min_live_days

Defines the bucketing of styles basis live days. Styles falling in the respective buckets will be compared with the given benchmarks for that bucket

medium

Styles below high but above medium benchmark will be tagged with medium sell-through

high

Styles above the high benchmark will be tagged with high sell-through

 

GRN:

Day+Warehouse+SKU level GRN quantity. GRN resets aging – can be cases where it's in a warehouse but not at stores.

Column

Description

Column

Description

warehouse

Warehouse name

sku

EAN code

qty

Quantity GRNed

day

Day on which the SKU was GRNed

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