Abstract: The present invention provides a dynamic pricing system that generates pricing recommendations for each product in each market. In particular, the system normalizes historic pricing and sales data, and then analyzes this historic data using parameters describing the user's business objectives to produce a pricing list to achieve these objectives. The system uses historical market data to forecast expected sales according to a market segment, product type, and a range of future dates and to determine the effects of price changes on the forecasted future sales. The system further calculates unit costs for the product. The system then estimates profits from sales at different prices by using the sales forecasts, adjusting these sales forecasts for changes in prices, and the costs determinations. The system optionally optimizes prices given current and projected inventory constraints and generates alerts notices according to pre-set conditions.

Abstract: The present invention provides an event revenue management system that calculates event pricing to manage revenue and to maximize profit from the event. In particular, the system uses event parameters, including timing, resource, and discount categories, and initializes forecasting parameters. The system aggregates historical data using the forecasting parameters to generate initial forecast statistics, taking into account the event parameters. It then forecasts demand by updating the initial forecast statistics based on current data and optimizes pricing and availability of the event based on the forecasted demand.

Abstract: Disclosed herein are systems and methods for demand forecasting that enable multiple-scenario comparisons and analyses by letting users create forecasts from multiple history streams (for example, shipments data, point-of-sale data, customer order data, return data, etc.) with various alternative forecast algorithm theories. The multiple model framework of the present invention enables users to compare statistical algorithms paired with various history streams (collectively referred to as “models”) so as to run various simulations and evaluate which model will provide the best forecast for a particular product in a given market. Once the user has decided upon which model it will use, it can publish forecast information provided by that model for use by its organization (such as by a downstream supply planning program).

Abstract: A promotion pricing system produces an evaluation so as to analyze, evaluate, improve, and design promotions. The promotion pricing system generates promotion price evaluations and recommendations for each promotion related to a target product, along with analyzing competing products from the same seller and its competitors. The computerized promotion pricing system includes modules for carrying out necessary analytical steps, where the modules cooperate to implement a statistical market response estimation that provide statistically stable information on customer response to promotions using either an attractive or a multiplicative model, where the model is selected dynamically.

Abstract: The present invention allocates the supply of critical components and manufacturing capacity by optimizing critical material planning decisions and dynamically allocating constrained materials using advanced substitution logic that considers alternate suppliers and supports product life cycle from design through end-of-life. The present invention may utilize unique synchronized allocations and matched sets logic. The synchronized allocations ensure that all materials necessary for production are available in the appropriate time-phased allocation before beginning production to minimize wasted production capacity and materials. The supply system may include various combination of components, including a Supply Planner, a Resource Optimizer, a Constraint Based Master Planner, a Product Change Analyzer, a Comparer, a Resource Requirements Planner, a Finite Resource Planner, a Customer Promiser, and an Interactive Master Scheduler.

Abstract: A statistical system and method for filters sales history to yield two demand series—one that is time insensitive (i.e. function of price and promotional activities only) and another that is price & promotional activities insensitive (i.e. function of temporal factors only). Once this task is completed, then specialized econometric techniques can be used to model the former and specialized time series techniques can be used to model the latter.

Abstract: A business process and computer system known as the “Target Pricing System” (TPS) that generates an optimum bid or value for a competitively bid good or service. The system is resident on one or more host processors in connection with one or more data stores, and includes a product model that defines list values for the bid using stored price data and costs the values using stored cost data, a competitor net price model that calculates an equivalent competitor net price for the value, and a market response model that calculates the probability of winning with the value as a function of price. The system further preferably includes an optimization model that computes the target price of an optimal value that maximizes expected contribution for the bid or value. The system alternately further includes a benefits model for calculating the benefits of using target pricing over a pre-existing approach, and strategic objects which each affect the target price.

Abstract: A system and method for planning the use of supply chain network resources by processing one or more groups of orders. The system and method is an attribute based rather than an order or stock keeping unit based system and method allowing for greater flexibility and improved simplicity in obtaining planning solutions. The system and method defining stock keeping unit attribute definition groups, which allows orders to be prioritized and organized into slices of orders such that an optimal planning solution is generated.

Abstract: A system and method for determining whether a supply chain network resource may be replenished by purchase in order to meet demand as defined by an order. The system and method is an attribute-based system and method that may be part of an overall system and method for planning the use of supply chain network resources. The system and method may generate a planning output that may indicate the feasibility of replenishment by purchase. The system and method recognizes time events and takes into account the exact sequence of the events in order to obtain an optimal solution.

Abstract: The present invention divides processing across multiple nodes to escape limitations placed by the processing power of commonly available application server platforms. The solution processing divides the problem into independently processed batches. Coordination of processing between nodes is achieved using a relational database tables and coordination for algorithm startup and initialization may be accomplished through a messaging system. The database table is loaded with rows to represent batches to be processed, and the independent processing nodes are given a message via the messaging system to start processing various jobs at a particular level. The nodes may then signal back when they can no longer find batches to process at that level. Once all nodes have completed a level, a message is sent to the nodes starts on to the next level. In this way, the messaging between the nodes is generally limited to two messages per level per node.

Abstract: The present invention is a constraint-based planning tool that specifically addresses the needs of complex discrete and process industries by providing a computationally efficient method and system for fulfillment of customer orders in a supply chain. By comprehensively synchronizing and optimizing the flow of materials through the enterprise, the present invention creates a feasible plan for manufacturing operations that simultaneously optimizes both material and capacity constraints by planning and scheduling multiple customer orders, planning for use the various resources located in remote locations needed to fulfill such orders, and scheduling the used resources for replenishment at appropriate times so that the resources meet the needs of the orders.

Abstract: The present invention optimizes shop floor operations by generating production schedules that respect the complex manufacturing rules of specified production operations. The invention utilizes attribute-sensitive changeover models that consider both the duration and cost of each changeover. Since the invention considers more than just the item, changeover models can be based at the item level and the item attribute level. The invention includes realistic models that simulate operations for a variety of process and discrete manufacturing work centers and departments. These models support reusable and auxiliary resources, resource groups, user-defined units of measure, detailed bills of material (BOMs), production rate models, and production method models. The sequencing invention can be integrated with other planning optimization systems, including planning and scheduling engines, to provide further shop floor optimization to productively drive the sequencing of a complex business.

Abstract: A system and method for sharing information relating to supply chain transactions and marketing data in either sell-side or buy-side environments. The system includes the ability to share information relating to ERP functionalities, surveys, target marketing and catalogs between multiple supply chain trading partners. Users of the system may elect to activate only certain functionalities and features based on their particular preferences.

Abstract: The present invention relates to a master resource planning systems and related methods for optimizing resource plans across multiple networks. In particular, the present invention optimizes constrained resources across multiple networks and produces an optimized plan to allocate and coordinate the obtaining, shipping and procurement of limited resources based upon user-defined strategies and supplier/shipper preferences Aspects of the disclosure include creating planning data and planning rules. Planning data contains information regarding constrained resources in the multiple networks. Planning rules are based on user-defined strategies. Additional aspects include generating a plan based on the planning data and the planning rules and revising the plan in real-time. The generated plan optimally allocates the constrained resources according to the user-defined strategies.

Abstract: A system and method for planning the use of supply chain network resources by processing one or more groups of orders. The system and method is an attribute based rather than an order or stock keeping unit based system and method allowing for greater flexibility and improved simplicity in obtaining planning solutions. The system and method defining stock keeping unit attribute definition groups, which allows orders to be prioritized and organized into slices of orders such that an optimal planning solution is generated.

Abstract: A system and method for planning the utilization of resources in order to meet demand as defined by an order. The system and method is an attribute-based system and method that may be part of an overall system and method for planning the use of supply chain network resources. The system and method attempts to fulfill an order by determining the best location-resource-bucket opportunity. The method and system may use several user define criteria as well as evaluating each acceptable resource's ability to supply the requested goods through inventory, manufacture, purchase and/or substitution.

Abstract: A system and method for scheduling manufacturing resources based on user defined scheduling and routing goals. Attributes and constraints may be assigned to manufacturing resources and SKUs that facilitates the planning and scheduling of the resources. Resource transitions may be restricted only to desirable transition by using product wheels. Excess work-in-process may be minimized by scheduling orders that consume the excess work-in-process.

Abstract: A system and method for determining whether a supply chain network resource may be replenished by manufacture in order to meet demand as defined by an order. The system and method is an attribute-based system and method that may be part of an overall system and method for planning the use of supply chain network resources. The planning system and method may use configurations and bills of material, both of which may be defined by stock keeping units, subordinate stock keeping units and stock keeping unit attribute definition groups, in order to determine whether a resource may be replenished by manufacture. In determining a solution, the system and method may take into account, user and customer preferences including scheduling goals.

Abstract: A system and method for determining whether a supply chain network resource may be replenished by purchase in order to meet demand as defined by an order. The system and method is an attribute-based system and method that may be part of an overall system and method for planning the use of supply chain network resources. The system and method may generate a planning output that may indicate the feasibility of replenishment by purchase. The system and method recognizes time events and takes into account the exact sequence of the events in order to obtain an optimal solution.

Abstract: A system and method for sharing and managing supply chain data including data relating to market activities. The system generates an item called a market activity, which may be accessed by one or more users. The system may comprise of several other logistical systems and/or may interface with other systems providing a number of functionalities relating to market activity data and other data useful in implementing and evaluating market activities. The system may further control user access to supply chain data based upon the status of the market activity.