公开(公告)号：US20080015982A1

公开(公告)日：2008-01-17

申请号：US11879818

申请日：2007-07-19

Applicant: Jeremy Sokolic ,  Sanjeev Dheer ,  Behram Panthaki ,  Azeem Sattar ,  Aaron Rudenstine

Inventor： Jeremy Sokolic ,  Sanjeev Dheer ,  Behram Panthaki ,  Azeem Sattar ,  Aaron Rudenstine

IPC: G06Q40/00

CPC classification number: G06Q40/02 ,  G06Q20/10

Abstract: Embodiments described herein include a financial management system that transfers funds on behalf of a user. Embodiments further include a payment enabled invoice method and system including a payment application and payment hubs through which invoicing entities may create and modify invoices, and through which a payer may view and pay the invoices. The invoicing entity and the payer do not exchange financial account information, which is confidentially held by the payment enabled invoice system. Invoices are paid according to funds transfer embodiments, wherein a transfer comprises the financial management system executing a debit transaction from a first financial institution, holding the debited funds in an intermediary account owned by the financial management system at a second financial institution, and executing a credit transaction to credit the funds to an account at a third financial institution.

Abstract translation: 本文描述的实施例包括代表用户转移资金的财务管理系统。 实施例还包括支付支付发票方法和系统，其包括支付应用程序和支付中心，通过该支付中心，发票实体可以通过该支付中心来创建和修改发票，付款人可以通过该支付应用程序查看和支付发票。 发票实体和付款人不交换由支付发票系统保密的金融账户信息。 发票根据资金转移实施方式支付，其中转移包括执行来自第一金融机构的借方交易的财务管理系统，将借记资金持有在第二金融机构的财务管理系统所拥有的中介账户，并执行 信贷交易将资金信用到第三家金融机构的账户。

公开(公告)号：US20060047724A1

公开(公告)日：2006-03-02

申请号：US11209178

申请日：2005-08-22

Applicant: Roy Messing ,  Jeremy Sokolic ,  Sanjeev Dheer ,  Venkatachari Dilip

Inventor： Roy Messing ,  Jeremy Sokolic ,  Sanjeev Dheer ,  Venkatachari Dilip

IPC: G06F17/30

CPC classification number: G06F17/30899 ,  Y10S707/95 ,  Y10S707/99942 ,  Y10S707/99943 ,  Y10S707/99944 ,  Y10S707/99945

Abstract: Data is captured from a web site or other data source. Data is extracted from the web page using a data harvesting script or other data acquisition routine. The extracted data is then normalized and stored in a database. If data cannot be extracted from the web page, a copy of the captured web page is stored without personal information contained in the web page. The data harvesting script is then edited based on an analysis of the captured web page.