Hrb Tax Group, Inc.

Samuel Brent Passer

Jason Houseworth

Howard C Wright, Iii

A method, a system, and a computer program for predicting an impact of a tax event on a user's tax liabilities at any intermediate time during a current tax year based on a comparison of known and predicted user information related to the user and the user's taxes, tax event information, and a tax deduction database of tax deductions, credits, and eligibility rules. The computer program and method for predicting the impact of the tax event comprise acquiring information about the user from a user profile, acquiring information about the tax event, comparing the user information and the tax event information with requirements for tax deductions and credits offered by a taxing authority, and identifying deductions or credits having requirements related to the user information and the tax event information. Furthermore, embodiments may also comprise determining a probability that the user will qualify for the deduction or credit based on both the known and predicted user information, the tax event information, and the requirements for tax deductions and credits for the current year.

Method, system, and computer program for predicting tax liabilities and benefits

A method, a system, and a computer program for suggesting to the user a tax event to reduce the user's tax liability. Embodiments comprise accessing known user information related to the user and the user's taxes, wherein the known user information includes at least some information for a current tax year to date; comparing the known user information with requirements for at least one of tax deductions and tax credits offered by a taxing authority for the current tax year; identifying deductions or credits having requirements related to the known user information; and suggesting to the user a tax event for reducing the user's tax liability, wherein the suggested tax event is based at least partially on the known user information and the identified deductions or credits having requirements related to the known user information.

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Overland Park, KS, United States of America

Samuel Brent Passer