inventorize (version 1.1.1)

productmix_storelevel: productmix_storelevel

Description

Identyfing ABC category based on the pareto rule for both demand and selling price,a mix of nine categories are produced. Identyfing ABC category based on the pareto rule.A category is up to 80 in this fuction the data is splitted by store and a product mix is made on each store individually.

Usage

productmix_storelevel(
  SKUs,
  sales,
  revenue,
  storeofsku,
  na.rm = TRUE,
  plot = FALSE
)

Arguments

SKUs,

charachter, a vector of SKU names.

sales,

vector, a vector of items sold per sku, should be the same number of rows as SKUs.

revenue,

vector, a vector of total revenue per sku, should be the same number of rows as SKUs.

storeofsku,

vector, which store the SKU is sold at.should be the same number of rows as SKUs.

na.rm,

logical and by default is TRUE

plot,

default is FALSE,if true a plot is generated

Value

a dataframe that contains ABC categories by store with a bar plot of the count of items in each category.

Examples

# NOT RUN {
productmix_storelevel(c(1:1000),sales = runif(1000,4,10000),
revenue  = rnorm(1000,100,20),storeofsku = rep(seq(1:10),100))
# }