abc_dynamic: abc_dynamic

In inventorize: Inventory Analytics, Pricing and Markdowns

abc_dynamic

Description

Identyfing ABC category based on the pareto rule. the function can have flexibility in defining the A,B thresholds. can be done on multiple splits for example countries or stores

Usage

abc_dynamic(
  product,
  key_to_split = F,
  first_attribute,
  second_attribute = F,
  A = F,
  B = F
)

Arguments

product,	Vector that contains the product name .
key_to_split,	logical and by default is False, otherwise a column that has a splitting dimension, for example ; stores or cities
first_attribute	, attribute to do the ABC analysis on, for example sales quantity
second_attribute	, attribute to do the ABC analysis on .for example profit, the default is FALSE
A	, changing the default threshold for A category which is 0.8, the default is FALSE
B	, changing the default threshold for B category which is 0.95, the default is FALSE

Value

a dataframe that contains ABC categories.

Note

this is the second version of the inventorize package, all the fucntions are without any academic contribution from my side, the aim is to facilitate and ease much of the bookkeeping that is endured during stock analysis.

Author(s)

"haytham omar email: <[e-mail]>"

Examples

abc_dynamic(c(1:1000), rep(seq(1:10),100), runif(1000,4,10000),rnorm(1000,100,20))

inventorize documentation built on June 1, 2022, 1:07 a.m.