Abstract: A sales force automation method (30), comprises providing instructions which operatively direct a computer system (100) to employ one or more predetermined input-parameters (60), wherein each input-parameter is applicable to one or more clients. Sets of input-values are operatively sorted to the input-parameters for a corresponding, individual client, and the input-values that pertain to a selected client-set (62) are operatively gathered. The computer system sorts the input-values from the client-set according to sales-parameters (64) that pertain to the selected client-set. The sorted input-values are compiled and analyzed to generate an actual sales-performance-value (84) for each sales-parameter. Upon a comparison between the sales-performance-value for a sales-parameter and a corresponding parameter-target-value or target-range, the computer system can determine an appropriate sales performance-rating.

Abstract: Inventory replenishment that levels the flow of products from a collection of supplying distribution centers (DCs) to a receiving DC. Products are shipped in calculated, predetermined quantities at calculated, predetermined intervals to match the outflow rates at the receiving DC. Inventory levels at the receiving DC are monitored daily, and exceptions or adjustments to the shipment pattern (e.g., quantities and time intervals) are executed in a systematic manner when they stray outside of calculated minimum and maximum levels.

Abstract: The present invention provides a method of managing a stock replenishment system in a way that explicitly controls the in-stock rate. Also provided by the present invention is a method of managing a collection of stock replenishment systems in a way that the combined in-stock rate of the collection is controlled to a selected value. In addition, the present invention provides a method to set up a collection of stock replenishment systems in replenishment software systems in an identical fashion while controlling the combined in-stock rate. The methods of the present invention use point-of-sale data to determine packages-per-shopper rates, which are used as one of the inputs to statistical models of multiple-day retail sales.

Abstract: The present invention relates to a method of sourcing orders for groups of products. The method includes arranging a plurality of products into several distinct groups of products based on a variety of factors, such as product demand and product configuration. In some forms, the method includes calculating more of the relevant costs that are associated with shipping groups of products from a plurality of sources. The method may also include assigning orders to sources based on the capacity of the sources to fill orders for groups of products. The method may also be used to ensure that one or more sources ship a minimum number of products per time period (e.g., a month, a year). In some forms, the method includes determining a storage capacity range for a plurality of containers and assigning orders for groups of products onto the containers based on the storage capacity of the containers.

Abstract: The present invention relates a method of sourcing an order. The method adds flexibility to an order sourcing system by readily adjusting the amount of money that must be saved for an order to be reassigned from one source (e.g., a production or distribution center) to another source. The savings value that must be exceeded to reassign the order from one source to another may be set individually for each source and govern where orders can be reassigned. In addition, the savings values for each distribution center may reflect more of the relevant costs that are associated with the products which are used by each distribution center to fill orders. In some forms, the method includes determining all of the costs that are associated with shipping orders to a customer, including orders that require products to be shipped multiple times before reaching a customer.

Abstract: A system and method for maintaining capacity of a network. Instructions are adapted to define future times at which a capacity of the network is evaluated. In addition, instructions are adapted to determine a total capacity of the network (TNC) and a total demand of users (TUD) for the network at each of the future times. As a function of the total capacity of the network (TNC) and the total demand of users (TUD), instructions are adapted to determine a predicted utilization (PU) of the network at each of the future times. By comparing the predicted utilization (PU) to a defined acceptable utilization of the network at each of the future times, instructions are adapted to determine a change in network capacity (DCNC) to be applied to the network at each of the future times in order to increase or decrease the capacity of the network.

Abstract: The present invention provides a method of managing a stock replenishment system in a way that explicitly controls the in-stock rate. Also provided by the present invention is a method of managing a collection of stock replenishment systems in a way that the combined in-stock rate of the collection is controlled to a selected value. In addition, the present invention provides a method to set up a collection of stock replenishment systems in replenishment software systems in an identical fashion while controlling the combined in-stock rate. The methods of the present invention use point-of-sale data to determine packages-per-shopper rates, which are used as one of the inputs to statistical models of multiple-day retail sales.

Abstract: The present invention provides a method of managing a stock replenishment system in a way that explicitly controls the in-stock rate. Also provided by the present invention is a method of managing a collection of stock replenishment systems in a way that the combined in-stock rate of the collection is controlled to a selected value. In addition, the present invention provides a method to set up a collection of stock replenishment systems in replenishment software systems in an identical fashion while controlling the combined in-stock rate. The methods of the present invention use point-of-sale data to determine packages-per-shopper rates, which are used as one of the inputs to statistical models of multiple-day retail sales.