Michael Lincoln Meehan

US Patent:

7254611, Aug 7, 2007

Filed:

Apr 24, 2002

Appl. No.:

10/132072

Inventors:

Gregory Scott Clark - Hillsborough CA, US
Aynur Ünal - Palo Alto CA, US
Michael Meehan - Palo Alto PA, US

Assignee:

E2 Open, Inc. - Redwood City CA

International Classification:

G06Q 99/00
G06F 15/16
G06Q 10/00

US Classification:

709204, 709205, 705 1

Abstract:

Adaptable multi-hub connectivity in a system for collaborative planning. Collaborative planning partners communicate using a set of local hubs. Each local hub is disposed for receiving and sending collaborative planning messages, caching and modifying collaborative planning data, and coordinating with one or more regional authorities regarding access to data. The local hubs communicate with client devices, other local hubs, and regional authorities. Regional authorities control access to collaborative planning data, thus controlling who owns that data, who is allowed to modify that data, and who is allowed to read or cache that data. Regional authorities partition the collaborative planning data, each one thus having a distinct subset of that data for which that particular regional authority has the final say. Regional authorities coordinate so that each one can obtain instructions for data not belonging to that particular regional authority.

US Patent:

7664688, Feb 16, 2010

Filed:

Sep 30, 2003

Appl. No.:

10/675926

Inventors:

Gregory Scott Clark - Hillsborough CA, US
Aynur Ünal - Palo Alto CA, US
Michael Meehan - Palo Alto CA, US

Assignee:

E2open, Inc. - Foster City CA

International Classification:

G06Q 40/00

US Classification:

705 35, 705 1

Abstract:

A method and system for managing information in a multi-hub system for supply chain management and collaborative planning. A technique is presented from managing communications in a multi-hub model. First, consistency of data throughout the system is maintained by limiting which entities in the supply chain have the authority to write to the data. Various techniques for determining which entity has such authority are presented. Second, the relative complexity of transactions is determined by identifying how much computer processing is required. Transactions that require little processing are handled by lightweight servers; transactions that required moderate to extensive processing are sent to heavyweight servers. The end user receives information about the transaction more rapidly because the transactions are processed more efficiently.

US Patent:

20120166616, Jun 28, 2012

Filed:

Dec 23, 2010

Appl. No.:

12/928968

Inventors:

Michael Meehan - Lafayette CA, US
Leith Painter - Sooke, CA
Daniel Labrosse - Victoria, CA
Tahseen Ur Rehman Fida - Victoria, CA

International Classification:

G06F 15/173

US Classification:

709224

Abstract:

A system for resource performance management, comprising a network-connected data collection service adapted to receive data from a plurality of resources, a network-connected data aggregation and reporting service adapted to aggregate resource-related data on at least temporal, organizational, geographic, and resource-specific dimensions, a network-connected initiative modeling service adapted to facilitate modeling by a user of a plurality of resource-related initiatives, and a network-connected initiative monitoring service adapted to receive data from one of the data collection service and the data aggregation and reporting service, and further adapted to measure performance of a plurality of resource-based initiatives, wherein a plurality of resource-based initiatives are assembled within the initiative modeling service into a plurality of initiative portfolios, and the plurality of initiative portfolios are modeled under a variety of forecast scenarios to determine an optimal initiative portfolio from among the plurality of portfolios, is disclosed.

US Patent:

20120310763, Dec 6, 2012

Filed:

Jul 12, 2011

Appl. No.:

13/181471

Inventors:

Michael Meehan - Lafayette CA, US

International Classification:

G06Q 30/00

US Classification:

705 262

Abstract:

A system for matching potential buyers and sellers of complex offers, comprising a plurality of data collection devices, each connected to at least one packet-based data network and adapted to collect data pertaining to a plurality of potential buyers or sellers of complex offers, a summary data generator software module operating on a server computer and connected via a data network to a database, an attribute index generator software module operating on a server computer and connected via a data network to the database, a categorization software module operating on a server computer and connected via a data network to the database, a buyer analysis engine software module operating on a server computer and connected via a data network to the database, an analysis engine software module operating on a server computer and connected via a data network to the database, and a matching engine software module operating on a server computer and connected via a data network to the database. Data collected by the data collection devices is stored in the database and is used by the summary data generator software module to generate a plurality of summary data elements pertaining to a potential buyer of a complex offer, and the plurality of summary data elements is stored in the database and used by the attribute index generator software module to generate attribute indices each based on at least two summary data elements using a weighted relational algorithm, and at least some data collected by the data collection devices is used by the buyer analysis engine software module to determine at least a probability that a buyer will buy a specific complex offer, and the marching engine software module uses an optimization algorithm to determine an optimal matching of potential buyers and complex offers based at least in part on a plurality of attribute indices and a likelihood to buy for each potential pair of offers and potential buyers.