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NOOS Outputs: Bestseller Analysis

NOOS Outputs: Bestseller Analysis

Column

Description

style_code

Style code of the article

description

Short description of the article

theme

Theme (Bestseller 1, Bestseller 2 or Fashion) which is identified for the style

master_category

Master category of the article

category

Category of the article

subcategory

Sub Category of the article

gender

Gender to which the article belongs

mrp_bucket

MRP bucket that the article falls under

brand

Brand of the article

brand_segment

Brand Segment of the article

attribute1

Merchandising attribute 1 of the article

attribute2

Merchandising attribute 2 of the article

attribute3

Merchandising attribute 3 of the article

attribute4

Merchandising attribute 4 of the article

attribute5

Merchandising attribute 5 of the article

mrp

MRP of the article

sales_qty

The quantity sold of that article in the analysis period

revenue

The revenue generated by the article

discount

Discount on the article

mrp_sales

The mrp sales value of the article (sales qty * mrp)

stores_live

The number of stores in which the article was live in the analysis duration

avg_style_discount

The average discount on the article in the analysis duration

discount_benchmark

Discount benchmark (in % ) for the article to be considered for bestseller analysis. The avg style discount to be less than discount benchmark for bestseller classification

style_revenue_per_day

The revenue per days generated by the article

revenue_per_day_benchmark

The revenue per day benchmark for the article to be considered for bestseller classification. The style rev per day to be greater than rev per day benchmark for bestseller classification

cutoff_revenue

Cutoff revenue for any style to be considered for bestseller classification. The style revenue to be greater than cut off revenue for bestseller classification

style_revenue_per_day_per_store

The revenue per day per store generated by the article

revenue_per_day_per_store_benchmark

The revenue per day per store benchmark for the article to be considered for bestseller 2 classification. The style rev per day per store to be greater than rev per day per store of already identified bestseller 1 in the same cat, subcat, brand, segment, price bucket level for bestseller 2 classification

raw_quantity

The raw quantity sold of that article in the analysis period

raw_revenue

The raw revenue generated by the article

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