Posted on 2021-08-03
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 orderedTechnical description
Technical details provided on request (contact us).
Other listings from Ryax Technologies
€260.00 / use (try free)
- Predict your sales by taking into account your seasonal parameters
- Ryax Technologies
- Retail
€35.00 / use (try free)
- Suggest the best items to your clients to maximize cross-sell and up-sell
- Ryax Technologies
- Retail
Free
- Get the best price for second hand items of your catalog
- Ryax Technologies
- Retail
€3.00 / use (try free)
- Find the right product in store your client is looking for by using Visual search
- Ryax Technologies
- Retail