Posted on 2021-08-03
Ryax Technologies Ryax Technologies

Prepare your assortment by predicting the items' future performance

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Description

Everyone wants to sell a maximum quantity of products, but no one wants to pay for the storage of unsold products. In order to predict the best quantity to order, you want to take into account seasonality caused by external or internal events, and avoid using averages which are irrelevant on short term. This analysis help you calculate the best amount you could predict and avoid stock issues

Commonly used to define future rounds of production/procurement and budget preparations as well for Supply Chain and Merchandising Teams. It can either be an automated analysis sent periodically through mail or a regular process pushed to your favorite supply chain ERP/demand planning tool

Analytics status

  • Beta

Business benefit

This analysis will have substential, positive impacts on the following metrics:
▪ stock rotation rate
▪ total turnover
▪ merchandise depreciation rate (markdown %)

Data inputs (mandatory)

A first file showing the historical sales data including :
▪ SKU number : identification of the product being sold
▪ purchase date
▪ quantity
▪ product category
▪ product sub-category

A second file showing the remaining stock (quantity of items in stocks including all moves such as replenishment, transfer etc.):
▪ SKU number
▪ stock
▪ date

Data Output

Output of this analysis is the expected sales for every item to be ordered

Technical description

Technical details provided on request (contact us).