I2 Technologies Us, Inc.

Jda Software Group, Inc.

Mukesh Dalal

Leenam Dalal

James M Crawford, Jr

Joachim Paul Walser

Vibhu K Kalyan

Srinivas Palamarthy

A method of multi-enterprise optimization at a buyer computer includes accessing a forecasted demand for at least one item and generating one or more proposed flexible trade contracts using the forecasted demand for the item. The proposed flexible trade contract is communicated to a seller computer and subsequently executed after acceptance of the proposed flexible trade contract at the seller computer to create a flexible trade contract. Each proposed flexible trade contract may be a forward contract, an option contract, or a flexible forward contract.

Method and system for multi-enterprise optimization using flexible trade contracts

Generating a price schedule involves generating a graph having paths that include states with values. The graph is generated by determining the values of a successor state from the values of a predecessor state. An optimal path is selected, and a price schedule is determined from the optimal path. Computing an elasticity curve involves having a demand model, values for demand model, and filter sets that restrict the values. Elasticity curves are determined by filtering the values using filter sets, and calculating the elasticity curve using the demand model. A best-fitting elasticity curve is selected. Adjusting a demand forecast value includes estimating an inventory and a demand at a number of locations. An expected number of unrealized sales at each location is calculated. An sales forecast value is determined according to the expected number.

Generating an optimized price schedule for a product

A method of multi-enterprise optimization at a buyer computer () includes accessing a forecasted demand for at least one item and generating one or more proposed flexible trade contracts () using the forecasted demand for the item. The proposed flexible trade contract () is communicated to a seller computer () and subsequently executed after acceptance of the proposed flexible trade contract () at the seller computer () to create a flexible trade contract (). Each proposed flexible trade contract () may be a forward contract (), an option contract (), or a flexible forward contract ().

A system for optimizing request-promise workflows includes a first entity that provides supplies to a second entity. The second entity optimizes its production to generate a request for the supplies and reoptimizes in response to promises received from the first entity. The first entity may send a culprit promise that identifies the supply that is creating the shortage.

Method and system for optimizing request-promise workflows

A method and system for solving constrained optimization problems. An initial abstract solution represents a prioritized set of decisions. The abstract solution is used as the basis for building a concrete solution. The concrete solution is analyzed to determine one or more local moves that represent a re-prioritization of the abstract solution. After a local moves is made, the process begins again with a new abstract solution, that is closer to an optimal solution. This process continues interactively until an optimal solution is reached or approached. The prioritized set of decisions can be implemented as a priority vector or a priority graph.

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Mukesh Dalal