Replenishment Methods
Replenishment methods are of two types, Non-Forecasted and Forecasted.

· Constant: Enter a maximum stock level at which you want the stock level maintained. As soon as the stock level drops below the maximum stock, a request is generated for the difference.
· Min/Max: Enter a maximum stock and minimum stock level. Once the stock level drops below the minimum stock, a request is generated to raise the stock level to the maximum stock.
· Floating Point: The system compares the sales trend of the upcoming 12 weeks to the same period one year ago, and then calculates a maximum stock amount. Once stock levels fall below the calculated maximum stock amount, a request is generated to raise the stock level to the maximum stock.
· Store Orders - A store driven replenishment method which allows stores to place orders based on need. Orders are incorporated into RMS via an overnight batch. Recommended order quantities are based on the store request and the ability to deliver the product with in lead time.
2. Forecasted :- A stock-oriented replenishment method used with a forecasting application.
· Time Supply: You control stock levels through days of supply in the store rather than specifying an exact amount. Based on forecasted sales data from the Oracle Retail Demand Forecasting System, the minimum time supply number of days determines the minimum stock level, while the maximum time supply number of days determines the maximum stock level. These min/max levels change based on the current forecasted sales data. A replenishment order is made when the net available inventory reaches the minimum days of supply and the order quantity placed is based on the rate of sale from forecasted sales over the specified period and the maximum days of supply value.
· Time Supply - Seasonal: It combines the basic Time supply algorithm with the end of season terminal stock goal. The additional fields for this algorithm include Season ID, Phase ID, and terminal stock value. This replenishment method compares the current replenishment requests and the forecasted demand until the end of the season. Replenishment requests are created according to the end of season Terminal Stock goal. Terminal stock value contains desired stock on hand for the item location when the end of season is reached.
· Time Supply - Issues: Used exclusively for warehouses. Replenishment calculations function just as they do for stores except that the warehouse issues forecasts are used. All other calculations are consistent with store Time Supply replenishment.
· Dynamic: The goal is to have only enough stock on hand in a given location to capture all sales between replenishment cycles. The time frame used to determine stock levels depends on the review time and lead time before stock levels in the location can be affected by an incoming shipment. The service level percentage is used to calculate the necessary amount of safety stock. Service level percentage contains the required measure of probability that demand is satisfied from on hand inventory. Used in the Dynamic replenishment method algorithm.
· Dynamic - Seasonal: It combines the basic Dynamic algorithm with the end of season terminal stock goal. The additional fields for this algorithm include a Season ID, Phase ID, and Terminal stock value. This replenishment method compares the current replenishment requests and the forecasted demand until the end of the season. Replenishment requests are created according to the end of season terminal stock goal
· Dynamic - Issues: Used exclusively for warehouses. Replenishment calculations function just they do for stores, except that the warehouses issues forecasts are used. All other calculations are consistent with store dynamic replenishment.

