# US 2008/0189224 A1 · Computerized system and method for determining retirement withdrawals > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2008/0189224 A1 - Document ID: US20080189224A1 - Status: Published application - Kind: A1 - Application number: 12/027,249 - Filed: 2008-02-06 - Published: 2008-08-07 - Earliest claimed: 2007-02-06 - Inventors: Lewis Coopersmith - Web page: https://patentgrep.com/patent/US20080189224A1 ## CPC - G06Q 40/00: Finance; Insurance; Tax strategies; Processing of corporate or income taxes - G06Q 40/06: Asset management; Financial planning or analysis - G06Q 40/10: Tax strategies - G06Q: INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR ## Abstract The invention relates to a computerized system and method for determining retirement withdrawals and results in an improved plan for withdrawing income from a variety of wealth sources over a user-specified time horizon beginning currently and ending during retirement. The method determines a withdrawal amount from each wealth source for each year of a fixed planning horizon. The method uses a primary optimization model to translate fixed and discretionary data into a maximum accumulated wealth and generate an annual withdrawal plan that provides the withdrawal amount from each wealth source for each year of the fixed planning horizon. The method provides for modification of the discretionary data if the initial output of the primary optimization model does not result in a feasible withdrawal plan. ## Claims ### Claim 1 A computer-implemented method for determining a withdrawal amount from each wealth source for each year of a fixed planning horizon, the method comprising the steps of: a. receiving fixed data and discretionary data from a user; b. executing a primary optimization model based on the fixed data and discretionary data, the primary optimization model having an output; c. if the primary optimization model output comprises a maximum accumulated wealth, generating an annual withdrawal plan that provides the withdrawal amount from each wealth source for each year of the fixed planning horizon, d. if the primary optimization model output is no feasible withdrawal plan, modifying the discretionary data and re-executing the primary optimization model. ### Claim 2 (depends on 1) The computer-implemented method of claim 1 further comprising the step of executing a secondary optimization model having an output before the step of modifying the discretionary data, and wherein the step of modifying the discretionary data is based on the secondary optimization model output. ### Claim 3 The computer-implemented method of step 2 wherein the secondary optimization model output comprises a maximum before-tax expense value based on the fixed data and discretionary data. ### Claim 4 (depends on 1) The computer-implemented method of claim 1 wherein discretionary data comprises a before-tax expense amount, and the step of executing the primary optimization model comprises estimating annual taxes, satisfying the before-tax expense amount, and complying with at least one predetermined constraint. ### Claim 5 (depends on 4) The computer-implemented method of claim 4 wherein the step of providing the withdrawal amount from each wealth source for each year of the fixed planning horizon further comprises the step of providing account transfer information during the fixed planning horizon. ### Claim 6 (depends on 4) The computer-implemented method of claim 4 wherein the predetermined constraint is selected from the group consisting of a federal law constraint and a retirement plan constraint. ### Claim 7 (depends on 1) The computer-implemented method of claim 1 wherein the fixed data comprises an initial tax-deferred traditional annuity value, an initial social security account value and an initial taxable savings value. ### Claim 8 (depends on 1) The computer-implemented method of claim 1 wherein the fixed data comprises at least one expense data item and, for each item, a projected annual growth rate. ### Claim 9 (depends on 1) The computer-implemented method of claim 1 wherein the step of executing the primary optimization model further comprises the step of determining a correct order and amount of withdrawals for a taxable versus a tax-deferred account throughout the planning horizon. ### Claim 10 A computer-implemented method for determining a withdrawal amount from each wealth source for each year of a fixed planning horizon, the method comprising the steps of: a. receiving fixed data and discretionary data from a user; b. executing a primary optimization model based on the fixed data and discretionary data, the primary optimization model having an output; c. if the primary optimization model output comprises a maximum accumulated wealth, generating an annual withdrawal plan that provides the withdrawal amount from each wealth source for each year of the fixed planning horizon, d. if the primary optimization model output is no feasible withdrawal plan, the steps of i. receiving final desired accumulated wealth data from a user, and executing a secondary optimization model based on the fixed data, the discretionary data, and the final desired accumulated wealth data; ii. if the secondary optimization model output comprises a before-tax expense value, modifying the discretionary data based on the before-tax expense value, and repeating the step of executing the primary optimization model; and iii. if the secondary optimization model output is no feasible solution, modifying the final desired accumulated wealth data and repeating the step of executing the secondary optimization model. ### Claim 11 A computer-implemented method for executing a primary optimization model to determine a maximum accumulated wealth at the end of a fixed planning horizon comprising the steps of: a. providing for the receipt of fixed data and discretionary data from a user; b. providing for the receipt of a plurality of primary optimization instructions, wherein the plurality of primary optimization instructions are derived from at least one primary model objective function; c. providing for the translation of the fixed data and discretionary data into optimization model input data d. providing for the receipt of the optimization model input data by an optimization program; and e. providing for the execution of the optimization program based on the optimization model input data, an output of the optimization program comprising the maximum accumulated wealth.