AU2018200131A1

AU2018200131A1 - Investment monitoring system

Info

Publication number: AU2018200131A1
Application number: AU2018200131A
Authority: AU
Inventors: Peter Morrison-Dowd
Original assignee: HOPKINS PASS Pty Ltd
Current assignee: HOPKINS PASS Pty Ltd
Priority date: 2010-10-29
Filing date: 2018-01-08
Publication date: 2018-02-01
Also published as: WO2012054952A1; AU2016200835A1; AU2010362894A1

Abstract

A computer-implemented method of optimising a value of a user's investment portfolio based on a user profile for said user, said method comprising: (i) accessing, from said user profile, target value data representing a target value of said portfolio to be achieved within a predetermined future timeframe, and portfolio data identifying one or more assets of said portfolio; (ii) generating a projected value of said portfolio within said timeframe based on valuation data, including performance data representing a historical rate of return for each of said assets; (iii) accessing configuration data and user preference data for a plurality of predetermined investment optimisation strategies, said configuration data including data representing one or more variable parameters associated with each of said strategies and -data representing rules for generating a value of said portfolio based on one or more of said parameters, said user preference data from said user profile including data representing a range of user defined values associated with each of said parameters; (iv) generating, based on said configuration data and said user preference data, recommended values for each of said parameters for increasing said projected value to minimise a difference between said projected value and said target value; and (v) generating a user display interface for displaying one or more of said recommended values to said user. ME 127685555_1 (W2003x) - 270 Access Clent Investment Risk Profle 272 - - -.. Growth ProW'$. Use 1 Year performance danced Profile? e ' Use 3 Year performance M oeate > Use 5 Year performance Use Member AvailableData (MAD) performance Access Fund Fees (if available ) -1 Access Adviser Fee (iavalulabe) Calculate return using years to retirement. selected performance and fees End Figure 3

Description

FIELD OF THE INVENTION

The field relates to a system and method of optimising a value of a user’s investment portfolio based on a user profile for that user. The invention is particularly use fill in relation to optimising the value of a superannuation investment portfolio, and it will therefore be convenient to describe the invention in that environment. However, it should be understood that the invention is intended for broader application and use,

BACKGROUND OF THE INVENTION

A financial investment refers to an arrangement where an investor (e.g. an entity or person) provides a sum of money to an investment vehicle with the expectation of receiving a profit or gain after a certain period of time. For example, the profit or gain from an investment may include an increase in the value of an asset over an investment period. However, investments are often associated with an element of risk representing the potential for an investment io produce an undesirable result for the investor, such as resulting in loss (e.g. a decrease in monetary value invested in an asset) or liability to the investor. Assessing such risk is difficult as it may involve considering a variety of objective factors, many of which may not be generally relevant to all types of financial transactions. Further, such assessment of risk may also depend on subjective factors, which will differ between investors as each may have different investment objectives and/or different perceptions or sensitivities to risk.

An investment portfolio is the term commonly used to describe the collection or pool of financial investments held by an investor. In order to mitigate the risks and uncertainty associated with investing, an investment portfolio may comprise a diversity of financial investments. This is particularly true of investment portfolios that are structured to provide an investor with income upon retirement. Such investment portfolios will commonly comprise combinations of different risk-reward financial investments, ranging from “low risk, low yield” to “high risk, high yield, or different types of income streams.

In many developed countries, governments have instituted compulsory schemes which require individuals to contribute regular investments, In order to provide themselves with an income upon retirement. One such country is Australia, which implemented the ‘Superannuation Guarantee’ system in 1992. This system includes a compulsory element whereby employers are required by law to pay an additional amount, based on a proportion

2018200131 08 Jan 2018 (currently 9%) of an employee’s salary, into an approved superannuation fund. In addition, the system also allows employees to make voluntary contributions to the superannuation fund. The accrued investment, made up of compulsory and voluntary superannuation contributions, can then be accessed by the employee upon reaching a certain age, which is prescribed in the relevant legislation.

While such compulsory investment schemes force employees to invest for their retirement, it is left up to the individual to calculate whether their superannuation investment will be sufficient to support their financial needs in their retirement. Even if an individual has some concept of the superannuation investment they will likely require to meet their financial needs at retirement, it is often difficult to calculate the contributions that will be required in order to realise that investment target.

It is therefore desired to address one or more of the above problems, or to at least provide a useful alternative to existing investment monitoring systems.

SUMMARY OF THE INVENTION

According to one aspect of the present invention, there is provided a computerimplemented method of optimising a value of a user’s investment portfolio based on a user profile for said user, said method comprising;

(i) accessing, from said user profile, target value data representing a target value of said portfolio to be achieved within a predetermined future timeframe, and portfolio data identifying one or more assets of said portfolio;

(ii) generating a projected value of said portfolio within said timeframe based on valuation data, including performance data representing a historical rate of return for each of said assets;

(iii) accessing configuration data and user preference data for a plurality of predetermined investment optimisation strategies, said configuration data including data representing one or more variable parameters associated with each of said strategies and data representing rules for generating a value of said portfolio based on one or more of said parameters, said user preference data from said user profile including data representing a range of user defined values associated with each of said parameters;

2018200131 08 Jan 2018 (iv) generating, based on said configuration data and said user preference data, recommended values for each of said parameters for increasing said projected value to minimise a difference between said projected value and said target value;

and (v) generating a user display interface for displaying one or more of said recommended values to said user.

According to a further aspect of the present invention, there is provided a computerimplemented system of optimising a value of a user’s investment portfolio based on a user profile for said user, said system comprising:

(i) means for accessing, from said user profile, target value data representing a target value of said portfolio to be achieved within a predetermined future timeframe, and portfolio data identifying one or more assets of said portfolio;

(ii) means for generating a projected value of said portfolio within said timeframe based on valuation data, including performance data representing a historical rate of return for each of said assets;

(iii) means for accessing configuration data and user preference data for a plurality of predetermined investment optimisation strategies, said configuration data including data representing one or more variable parameters associated with each of said strategies and data representing rules for generating a value of said portfolio based on one or more of said parameters, said user preference data from said user profile including data representing a range of user defined values associated with each of said parameters;

(iv) means for generating, based on said configuration data and said user preference data, recommended values for each of said parameters for increasing said projected value to minimise a difference between said projected value and said target value;

and (v) means for generating a user display interface for displaying one or more of said recommended values to said user.

According to a still further aspect of the present invention, there is provided a computer30 implemented system of optimising a value of a user’s investment portfolio based on a user profile for said user, said system comprising one or more computers including:

2018200131 08 Jan 2018 at least one processor;

an interface between said processor and a data network;

a database for containing information relating to said user profile and said user’s investment portfolio; and at least one storage medium operatively coupled to said processor, said storage medium containing program instructions for execution by said processor, said program instructions causing said processor to execute the steps of:

(i) accessing, from said user profile stored in said database, target value data representing a target value of said portfolio to be achieved within a predetermined future timeframe, and portfolio data identifying one or more assets of said portfolio;

(iii) accessing from said database, configuration data and user preference data for a plurality of predetermined investment optimisation strategies, said configuration data including data representing one or more variable parameters associated with each of said strategies and data representing rules for generating a value of said portfolio based on one or more of said parameters, said user preference data from said user profile including data representing a range of user defined values associated with each of said parameters;

(iv) generating, based on said configuration data and said user preference data, recommended values for each of said parameters for increasing said projected value to minimise a difference between said projected value and said target value;

and (v) generating a user display interface for displaying, via said data network, one or more of said recommended values to said user.

According to a still further aspect of the present invention, there is provided a tangible computer-readable medium having computer-executable instructions stored thereon for performing a method of optimising a value of a user’s investment portfolio based on a user profile for said user, said method comprising:

2018200131 08 Jan 2018 (i) accessing, from said user profile, target value data representing a target value of said portfolio to be achieved within a predetermined future timeframe, and $

portfolio data identifying one or more assets of said portfolio;

(iv) generating, based on , said configuration data and said user preference data, recommended values for each of said parameters for increasing said projected value to minimise a difference between said projected value and said target value; and (v) generating a user display interface for displaying one or more of said recommended values to said user.

According to a still further aspect of the present invention, there is provided a computerimplemented method of optimising a value of a user’s investment portfolio based on a user profile for said user, said method comprising;

(ii) generating a projected value of said portfolio within said timeframe based on risk profile data from said user profile, and valuation data including performance data representing a historical rate of return for each of said assets;

(iii) accessing configuration data and user preference data for a plurality of predetermined investment optimisation strategies, said configuration data including data representing one or more variable parameters associated with each of said

2018200131 08 Jan 2018 strategies and data representing rules for generating a value for said portfolio based on one or more of said parameters, said user preference data from said user profile including data representing a range of user defined values associated with each of said parameters;

(iv) generating, based on said configuration data and said user preference data, recommended values for each of said parameters for increasing said projected value to minimise a difference between said projected value and said target value; and (v) generating a user display interface for displaying one or more of said recommended values to said user.

According to a still further aspect of the present invention, there is provided a computerimplemented system of optimising a value of a user’s investment portfolio based on a user profile for said user, said system comprising:

(ii) means for generating a projected value of said portfolio within said timeframe based on risk profile data from said user profile, and valuation data including performance data representing a historical rate of return for each of said assets;

(hi) means for access configuration data and user preference data for a plurality of predetermined investment optimisation strategies, said configuration data including data representing one or more variable parameters associated with each of said strategies and data representing rules for generating a value for said portfolio based on one or more of said parameters, said user preference data from said user profile including data representing a range of user defined values associated with each of said parameters;

and

2018200131 08 Jan 2018 (v) means for generating a user display interface for displaying one or more of said recommended values to said user.

According to a still further aspect of the present invention, there is provided a computerimplemented system of optimising a value of a user’s investment portfolio based on a user profile for said user, said system comprising one or more computers including: at least one processor;

an interface between said processor and a data network;

(iii) accessing from said database, configuration data and user preference data for a plurality of predetermined investment optimisation strategies, said configuration data including data representing one or more variable parameters associated with each of said strategies and data representing rules for generating a value for said portfolio based on one or more of said parameters, said user preference data from said user profile including data representing a range of user defined values associated with each of said parameters;

and

2018200131 08 Jan 2018 s

(v) generating a user display interface for displaying, via said data network, one or more of said recommended values to said user.

(iii) access configuration data and user preference data for a plurality of predetermined investment optimisation strategies, said configuration data including data representing one or more variable parameters associated with each of said strategies and data representing rules for generating a value for said portfolio based on one or more of said parameters, said user preference data from said user profile including data representing a range of user defined values associated with each of said parameters;

(iv) generating based on said configuration data and said user preference data, recommended values for each of said parameters for increasing said projected value to minimise a difference between said projected value and said target value; and (v) generating a user display interface for displaying one or more of said recommended values to said user.

BRIEF DESCRIPTION OF THE DRAWINGS

Representative embodiments of the present invention will now be described with reference to the accompanying drawings, These embodiments are given by way of illustration only and other embodiments of the invention are possible. Consequently, the particularity of the accompanying drawings is not to be understood as superseding the generality of the preceding description. In the drawings:

2018200131 08 Jan 2018

Figure 1 is a schematic block diagram of a system of optimising a value of a user’s investment portfolio in accordance with a preferred embodiment of the present invention;

Figure 2 is a flow chart illustrating a preferred method of optimising a value of a user’s investment portfolio in accordance with a preferred embodiment of the present invention;

Figure 3 is a flow chart illustrating the calculation of a projected value of an investment portfolio in accordance with a preferred embodiment of the present invention;

Figure 4 is a flowchart illustrating a user notification monitoring process used in a preferred form of the method of the present invention;

Figure 5 to 16 are examples of graphical user interfaces generated and used in a preferred 10 form of the method of the present invention.

DETAILED DESCRIPTION OF REPRESENTATIVE EMBODIMENTS

Representative embodiments of the present invention will now be described with reference to the accompanying drawings. The invention is particularly useful in relation to optimising the value of a superannuation investment portfolio, and it will therefore be convenient to describe the invention in that environment? However, it should be understood that the invention is intended for broader application and use.

A superannuation investment portfolio commonly includes a collection or pool of financial investments held by an investor. In many instances, an investor’s superannuation investment portfolio is managed by a registered superannuation fund that, at least partly, controls the way in which an investor’s funds are invested.

Figure 1 illustrates an exemplary system 100 in which preferred embodiments of the invention may be implemented. The system includes a server 102 and at least one user terminal 104, both of which are connected to a network 106, which may be, for example, the Internet. Also connected to the network 106 are a plurality of user terminals and/or servers, e.g. 108, 110.

It will be appreciated that Figure 1 depicts the system 100 schematically only, and is not intended to limit the technology employed in the servers, user terminals and/or communication links. The user terminals in particular may be wired or wireless devices, and their connections to the network may utilize various technologies and bandwidths. For example, applicable user terminals include (without limitation): PC’s with wired (e.g. LAN, cable, ADSL .dial-up) or wireless (e.g. WLAN, cellular) connections; and wireless

2018200131 08 Jan 2018 portable/handheld devices such as PDA’s or mobile/cellular telephones. These devices also include input means, such as a mouse and keyboard, stylus or other pointing device or system, to enable the users to make selections and input data. The protocols and interfaces between the user terminals and the servers may also vary according to available technologies, and include (again without limitation): wired TCP/IP (Internet) protocols;

GPRS, WAP and/or 3G protocols (for handheld/cellular devices); Short Message Service (SMS) messaging for digital mobile/cellular devices; and/or proprietary communications protocols.

The server 102 includes at least one processor 112 as well as a database 114, which would 10 typically be stored on a secondary storage device of the server 102, such as one or more hard disk drives. Server 102 further includes at least one storage medium 116, typically being a suitable type of memory, such as random access memory, for containing program instructions and transient data related to the operation of the valuation system as well as other necessary functions of the server 102. In particular, memory 116 contains a body of program instructions 118 implementing the method and system in accordance with preferred embodiments of the invention. The body of program instructions 118 includes instructions for optimising a value of a user’s investment portfolio based on a user profile for said user, the operation of which will be described hereafter.

It should be appreciated that the hardware used to implement the method of the invention may be conventional in nature or specifically designed for the purpose. The hardware structure shown in Figure 1 is merely one possible embodiment and any other suitable structure may be utilised.

Figure 2 is a flowchart 200 which illustrates a preferred method of optimising a value of a user’s investment portfolio based on a user profile for that user, in accordance with the present invention. In accordance with this general method, a preliminary step 210 includes obtaining information from a user in order to complete a user profile. A user’s profile data may include:

• personal data representing personal details of the user. These details may include user authentication details (e.g. a unique user identifier and password), details contact address, billing address, contact number, gender, income bracket, contact details of the user’s financial adviser/planner, a consent authorisation allowing the system 100 to generate alert messages to the user’s financial adviser/planner;

2018200131 08 Jan 2018 * portfolio data representing the details of one or more investment products that make up the user’s investment portfolio. These details may include a unique product identifier or product name (e.g. the APIR code of the superannuation fund), and any other user-specific parameters associated with the investment portfolio;

· target value data representing a target value of the user’s superannuation investment portfolio to be achieved within a predetermined future timeframe; and • risk profile data representing the user’s sensitivity to investment risk (e.g. based on data representing a total score value, risk category and/or risk allocation as described below).

The collection of such information from the user, and subsequent presentation of information to the user, is preferably facilitated through a website. The step 212 of collecting the user’s personal data involves presenting the user with a webpage, one example of which is illustrated in Figure 6. On this webpage the user will typically enter their personal data, such as their name, date of birth, contact information, and the name and contact details of their financial adviser (if available). On a further webpage, an example of which is illustrated in Figure 7, the user will be required to enter details relating to their current superannuation investment portfolio, including the name of their superannuation fund and preferably the corresponding APIR code. A large proportion of this information may already be stored in the database 114 if the user has an existing account with the monitoring service operating the webpage, in which case a number of these fields would be pre-populated by the system 100.

On a series of further webpages, examples of which are illustrated in Figures 8 and 9, the user will be required to enter their income details. Such information may include a description of the income source (e.g. the user’s occupation), an indication of whether this income source is derived from the user’s primary occupation, annual gross income or annual net income, the desired monitoring frequency, the compulsory superannuation rate (e.g. Superannuation Guarantee Levy), details of their superannuation fund (including the APIR code), and . Additionally, the user may also provide details of their non-compulsory superannuation investment contributions as either a fixed amount or a percentage of their gross or net income.

A further step 214 of collecting a user’s personal data involves presenting the user with a webpage, one example of which is illustrated in Figure 10, in order to obtain information

2018200131 08 Jan 2018 related to their expenses. This information may include the type of expense (e.g. home expenditure, living expenditure, transportation expenditure etc,), and the desired monitoring frequency (e.g. fortnightly, monthly, quarterly, annually). In a particularly preferred embodiment of the present invention, this expense information may be presented to the user in a graphical form, an example of which is shown in Figure 11

An optional step 216 involves obtaining information from the user in relation to their superannuation insurance details. This information may include the amount of cover secured by the insurance policy, the rate amount required to be payed on the policy, and the desired monitoring frequency (e.g. fortnightly, monthly, quarterly, annually).

In addition to the personal data, the user is also required to enter target value data representing a target value of the user’s superannuation investment portfolio to be achieved within a predetermined future timeframe. In this step 218, the user is required to provide details of their retirement goal (i.e. the amount of superannuation investment they hope to have accrued by the time of retirement), the planned date of their retirement (i.e. their desired retirement age), the desired monitoring frequency (e.g. fortnightly, monthly, quarterly, annually), and their date of birth (if not already provided). An example of a webpage used to collect such information is illustrated in Figure 12.

The risk profile data, which is optionally provided by the user, may represent the user’s , sensitivity to risk in different ways. In one representative embodiment, the risk profile data represents a number (e.g. a total score value) generated by the system 100 based on the user’s selected response to one or more questions (or activities or challenges) for assessing the user’s likely investment period, investment objectives, expected outcome from investments, and likely sensitivity or aversion to investment risk (e.g. the risk of a loss in the value of an investment). The number represented by the risk profile data can be used to generate respective upper bound and lower bound values for each attribute of the product defined in the configuration data of the system 100 (or alternatively a single comparison value) based on the acts described with references to Tables .1 to 5.

in another, representative embodiment, the number generated by the system 100 (as described above) is compared with a general range of possible scores. The general range is divided into several discrete brackets, each bracket being associated with a different risk category (e.g. as one of defensive, moderately defensive, balanced, growth or high growth). An example is show in Table 1 below for a general range of 0 to 5. Depending on the value of the number generated by the system 100, the number will fall into a different bracket, which determines the risk category applicable to the user, in this embodiment, the risk profile data includes risk category data representing a risk category applicable to the user. The risk category can be used to generate respective upper bound and lower bound values for each attribute of the product defined in the configuration data of the system 100 (or alternatively a single comparison value) based on the acts described with reference to Tables 2 to 5.

2018200131 08 Jan 2018

Score range	Risk category
0	Cash
0-1.5	Defensive
1.51-2.5	Moderately defensive
2.51-3.5	Balanced
3.51-4.5	Growth
4.51-5.0	High growth

Table 1

In another representative embodiment, the risk profile data includes risk allocation data representing a different predetermined value for each attribute defined in the configuration data for the system 100. Table 2 provides an example of the predetermined values for different attributes defined based on asset type (e.g. based on Table 1) for different risk categories of a user (e.g. based on the total score value). Table 3 provides an example of the predetermined values for different attributes defined based on asset performance for different risk categories of a user (e.g. based on the total score value). The respective range for each attributes represented by the risk allocation data can be used to generate respective upper bound and lower bound values for each attribute of the product defined in the configuration data of the system 100 (or alternatively a single comparison value) based on the acts described with reference to Table 4 to 5.

2018200131 08 Jan 2018

Asset	Defensive	Moderately defensive	Balanced	Growth	High growth
Cash	20%	10%	4%	2%	1%
Domestic fixed interest	30%	23%	15%	8%	0%
International fixed interest	8%	17%	11%	5%	0%
Domestic property	14%	10%	10%	10%	5%
Domestic shares	8%	22%	34%	43%	45%
International shares	8%	18%	26%	32%	49%

Table 2

Asset	Defensive	Moderately defensive	Balanced	Growth	High growth
Defensive	70%	50%	30%	15%	1%
Growth	30%	50%	70%	85%	99%

Table 3

In another representative embodiment, the risk profile data includes risk allocation data representing a different range of values for each of the attributes defined in the configuration data for the system 100. Table 4 provides an example of the predetermined ranges of values associated with each attribute defined in the configuration data for the system 100. Each range is defined by a respective upper bound value and tower bound value. A fixed predetermined range may be defined for each attribute based on the risk category of the user (e.g. based on the Table 1). Alternatively, the range for each attribute may be defined relative to the predetermined values for each attribute (e.g. based on either Tables 2 or 3) for a user of a particular risk category (e.g. based on Table 1). For example, depending on the risk category of die user, the relative difference between the upper bound value and lower bound value for each attribute (relative to the reference value for the attribute from Tables 2 or 3) may each be different and may be independently defined by the configuration data for the system 100.

2018200131 08 Jan 2018

Asset	Balanced	Acceptable Range
Cash	4%	3 - 6%
Domestic fixed interest	15%	10-20%
International fixed interest	11%	10 - 12%
Domestic property	10%	8 - 12%
Domestic shares	34%	25 - 50%
International shares	26%	20 - 35%

Table 4

As an alternative to Table 4, the risk profile data may include risk allocation data representing a single comparison value (shown as the “Average” value in Table 5) generated by the system 100. The comparison value may be generated based on the actual relative allocation of the assets of the product across each of the attributes defined in the configuration data for the system 100 (which may be defined by product allocation data in the product data for a product), and also the predetermined values for each attribute (e.g. based on either Tables 2 or 3) for a user of a particular risk category (e.g. based on Table 1). The values in the sector deviation column in Table 5 can be generated based on an absolute percentage difference between the values in the product allocation field and the values in the balanced field. For example, the sector deviation value for the cash attribute can be generated by dividing an absolute difference between the values in the product allocation and balanced fields (i.e. 2.7% - 4%) by the value in the balanced field (i.e. 4%), and then multiplying the result by 100%, The values in the balanced field in Table 5 can be substituted with the values for the corresponding attributes defined in either Tables 2 or 3. The comparison value (corresponding to the average field in Table 5) can be generated by taking an average of the sector deviation values for each attribute in Table 5.

Asset	Product allocation	Balanced	Sector deviation
Cash	2.7%	4%	32.5%
Domestic fixed interest	17.2%	15%	14.7%
Internationa] fixed interest	9.1%	11%	17.3%
Domestic property	10,0%	10%	0%
Domestic shares	37.5%	34%	10.3%
International shares	23.5%	26%	9.6%
AVERAGE	14.1%

Table 5

2018200131 08 Jan 2018

As is it common for individual investors to use financial advisory services, it should be understood that any of the above user profile information, portfolio data, target value data, or risk profile data could be provided by a financial adviser on behalf of the individual investor. As such information is received, the system 100 causes such information to be stored in the database 114 for future use.

Once this information has been received, the system 100 then performs the step 220 of generating a projected value of the user’s superannuation investment portfolio. This includes the initial step 222 of retrieving, from the database 114, the user’s date of birth, retirement goal amount, and desired retirement age. It is then necessary to perform the step 224 of accessing the performance data of the user’s superannuation fund, which includes the historical rate of return for each of the assets in the user’s superannuation investment portfolio. The final step 226, which is detailed in Figure 3, involves the . calculation of the estimated funds (i.e. the projected value) that will be available to the user upon retirement, based upon the current information.

As shown in Figure 3, the calculation of the estimated retirement funds includes the optional preliminary step 270 of accessing the user’s investment risk profile, which includes the risk profile data outlined above. This data is used to determine the most appropriate period of return for which to complete the projection value calculations. For example, if the user’s investment risk profile indicates that they have a ‘High Risk’ investment portfolio (i.e. an investment portfolio focused on asset growth), then the system 100 at step 272 will use a 1-year return when calculating the estimated retirement funds. If the user’s investment risk profile indicates that they have a balanced investment portfolio, then the system 100 at step 274 will use a 3-year return when calculating the estimated retirement funds. Finally, if the user’s investment risk profile indicates that they a ‘Low

Risk’ investment portfolio (i.e. a moderately defensive, low growth, investment portfolio), then a 5-year return will be used when calculating the estimated retirement funds.

Additionally, at steps 272, 274 or 276, the system 100 takes into account the performance data of the user’s specified superannuation fund, which includes the fund unit pricing for the period of the calculation. For example, the system 100 may use performance data for a historical period of 1, 3 or 5 years. Alternatively, and provided that such information exists, the system 100 at step 280 may use all available historical performance data corresponding to the user’s specified superannuation fund.

2018200131 08 Jan 2018

In calculating the estimated retirement funds based on the above information, the system

100 at step 286 may also take into account available data related to one or more of the following factors:

• superannuation fund fees (as shown at step 282) which represent the administration and/or management fees that are payable by the user to their specified superannuation fund;

• financial advisory fees (as shown at step 284) which represent the fixed or variable service fees that are payable to the user’s financial adviser;

• concessional contribution requirements which, for example, specify that the concessional cap for individuals under 50 is indexed to the average weekly ordinary time earnings (AWOTE), and then rounded down to the nearest multiple of $5,000, and that the concessional cap for individuals over 50 is $50,000 per annum;

« non-concessional restrictions which, for example, specify that individuals are 15 allowed to contribute $150,000 per annum, or $450,000 over three years (with a maximum possible contribution of $450,000 in a single year under the “bring forward” rule);

• government co-contribution schemes which can be used to develop an alternate contribution strategy for a user that satisfies the relevant eligibility criteria;

· lump-sum contributions which take into account both the concessional and nonconcessional contribution caps stipulated by the relevant regulatory body;

• aged pension qualification requirements which specify the age at which individuals become eligible for the aged pension;

• aged pension asset/income tests which specify an individual’s (or couple’s) eligibility for the aged pension based upon an assessment of their measured income and/or assets;

• aged pension payment rates which specify the pension amount that is payable to an eligible individual upon reaching the qualification age for the aged pension;

• deeming rates which take into threshold limits on income sources from financial investments; and

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IS • individual income tax rates which are used to calculate the amount of income tax payable on an individual's fixed income.

Based upon a combination of this information, the system 100 at step 286 calculates the estimated retirement funds (i.e. the projected value of a user’s superannuation investment portfolio at their desired date of retirement).

Referring again to Figure 2, the system 100 at step 230 performs a comparison of the target value for the user's superannuation investment portfolio, with the projected value of the user’s superannuation investment portfolio. If the projected value of the user’s superannuation investment portfolio is less than the target value, the system 100 generates a number of investment optimisation strategies which, also at step 230, are presented to the user in the form of an alert message. These investment optimisation strategies take into account the information used to calculate the projected value of the investment portfolio, and provide the user with option to increase their contributions as to meet their desired retirement goal (i.e. the target value of their superannuation investment portfolio).

Preferably, the alert message will be transmitted to the user by short message service (SMS) and/or email message. It is also preferable that the email message contains a URL link to a webpage containing the various investment optimisation strategies. An example of such a webpage is illustrated in Figure 13.

The investment optimisation strategies presented to the user may include one or more of the following:

(1) an option to increase concessional contributions by a specified amount (e.g. $41 per week), as shown at step 242;

(2) an option to increase non-concessional contributions by a specified amount (e.g. 35 per week), as shown at step 244;

(3) an option to customise the investment optimisation strategy by combining or modifying the various contribution options, as shown at step 232; and (4) anoption to maintain the current investment contribution strategy, as shown at step 248.

If the user selects either of options (1) or (2), then the system 100 at step 250 presents the user with a webpage which requires the user to confirm their selection. An example of such a webpage is illustrated at Figure 14. This webpage may also include a graphical

2018200131 08 Jan 2018 representation of the new projected value of the user’s superannuation investment portfolio based upon the implementation of the selected investment optimisation strategy.

If the user selects option (3), then the system 100 at step 246 presents the user with a webpage which allows a user to customize their superannuation investment contributions.

An example of such a webpage is illustrated at Figure 13. The user then has the ability to make adjustments to one or more of their concessional contributions, non-concessional contributions, and lump-sum contributions. It is preferable that the system 100 will alert the user if their selection of desired contributions exceeds the government contribution caps. It is also possible for the user to make adjustments with respect to the historical performance data of their specified superannuation fund that is used in the projected value calculations. Finally, the user may also be provided with the option to delay their customized investment contribution strategy by a predefined number of years. Based upon the user’s modifications to these various options, the system 100 performs a real-time calculation of the new projected value of the user’s superannuation investment portfolio, and this new projected value is presented to the user on the webpage. Once the user has decided upon a desirable investment contribution strategy, it is then possible for the user to confirm this strategy.

If option (4) is selected by the user, then no further action will be taken, and the user wilt be re-directed to the homepage.

For each of options (1), (2) or (3), once the user has confirmed their optimisation investment strategy, they are presented, at step 260, with a webpage which includes one or one or more of:

• verification of the optimisation investment strategy selected, and confirmation of the time and date on which the selection was made; and * an option to send notification of the selection to the user’s specified financial adviser, together with a request for a Statement of Advice.

An example of such a webpage is illustrated at Figure 16. If the user selects the option to send the notification to their specified financial adviser, then the system 100 causes an email message (or similar alert message) to be transmitted to the financial adviser. This email message contains details of the user’s selection of optimisation investment strategy, together with the request for a Statement of Advice,

2018200131 08 Jan 2018

As discussed above, at step 230, if the projected value of the user’s superannuation investment portfolio is less than the target value, the system 100 generates an alert message to the user in the form of an email message and/or SMS. An optional process 400 of monitoring the alert message sent to the user is shown in Figure 4. This process commences with the step 402 of generating and transmitting an alert message (e.g. ‘Quickview’ notification) to the user. The system 100 then monitors the status of the alert message and, preferably, whether an embedded URL link in the alert message has been activated by the user. More specifically, at step 404, the system 100 monitors whether the user has taken any action (i.e. a selection of an optimised investment strategy or a rejection of proposed options) within 7 days from the date of transmittal of the alert message. If such an action been performed by the user, then at step 410 the system 100 sends notification of the user’s selection to their specified financial adviser.

If the user does not take any action within 7 days from transmittal of the alert message, then the system 100 at step 406 sends a reminder alert message to the user via email and/or

SMS. If the system 100 at step 408 determines that the user has taken action within 7 days from the transmittal of this reminder alert message, then the process 400 proceeds to step 410 as described above. Alternatively, if the system 100 at step 408 determines that the user has not taken action with 7 days from the transmittal of the reminder alert message, then the system 100 at step 412 sends an alert contact message to the user’s specified financial adviser including a request for the financial adviser to contact the user.

Optionally, after either step 410 or step 412, and in response to notification of the user’s selection of investment optimisation strategy, the user’s financial adviser generates a Statement of Advice and sends this to the user. In a particularly preferred embodiment of the present invention, the system 100 may send an send a preliminary SMS message to the user to notify them that their financial adviser has reviewed their selected investment optimisation strategy, and desired retirement goal amount.

When an existing user returns to the homepage, they will preferably be provided with a summary of their current superannuation investment portfolio, including an indication of whether the projected value of their superannuation investment portfolio meets with their target value (i.e. desired retirement goal amount). An example of such a webpage is illustrated at Figure 5.

2018200131 08 Jan 2018

Modifications and improvements to the invention wilt be readily apparent to those skilled in the art. Such modifications and improvements are intended to be within the scope of this invention.

The word ‘comprising’ and forms of the word ‘comprising’ as used in this description and 5 in the claims does not limit the invention claimed to exclude any variants or additions.

In this specification, including the background section, where a document, act or item of knowledge is referred to or discussed, this reference or discussion is not an admission that the document, act or item of knowledge or any combination thereof was at the priority date, publicly available, known to the public, part of common general knowledge, or known to be relevant to an attempt to solve any problem with which this specification is concerned.

2018200131 08 Jan 2018

Claims

1/16

Figure 1

1. A computer-implemented method of optimising a value of a user’s investment portfolio based on a user profile for said user, said method comprising:

(iv) generating, based on said configuration data and said user preference data, recommended values for each of said parameters for increasing said projected value to minimise a difference between said projected value and said target value; and (v) generating a user display interface' for displaying one or more of said recommended values to said user,

2/16

2018200131 08 Jan 2018

200

END

Figure 2

2, The method according to claim 1, wherein step (ii) includes;

accessing, from said user profile, risk profile data representing said user’s threshold level of investment risk for said portfolio; and generating said projected value based on said performance data and said risk profile data, wherein said projected value is generated based on said performance data captured over a shorter period of time when said user’s risk profile data represents a higher threshold for risk, and said projected value is generated based on said

2018200131 08 Jan 2018 performance data captured over a longer period of time when said user’s risk profile data represents a lower threshold for risk.

3 years .5 years $-AJl Available Oat a w

J'-- ” 60 S per weak

-------- . g j week

.. g _£

0 years

Calculate the Scenario

Retirement Goal St.200,000 Desired year al Retirement 2060 Current Balance 516.7-17 Forecast value at reiirsmenl S1.225.W1 Difference at Retirement S28.621 Difference in years Salary 0 yearisj Your strategy options New Annual Concessional Contributions >3 BOO New Annual Nonconcessional CO &·Μ Contributions Annual SGt Contributions S4.414 One-off Lump Sum SO Commence new strategy Immediately

Figure 15

3/16

2018200131 08 Jan 2018

226 /

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Figure 3

3. The method according to claim 1, wherein said valuation data further includes fees data representing a total value of any fees and disbursements associated with the management of said portfolio.

4/16

2018200131 08 Jan 2018

Figure 4

4. The method according to claim 1, wherein said predetermined investment optimisation strategies include one or more of the following:

increasing said user’s concessional contributions to said portfolio;

increasing said user’s non-concessional contributions to said portfolio; and increasing a lump sum contribution to said portfolio;

wherein, said configuration data includes data representing a value of said contributions corresponding to each of said strategies.

5/16

2018200131 08 Jan 2018

Welcome, Demo Client Demo Client You previously logged in: Thursday, ItOalOlQ. IO22AM. Logout home - search funds ³ tools ³ faqs ° contact us ³ about us ³ live support logout monitormysuper/oMAu <('s pw stye “ Uy Dashboard W MONITORMYSUPER DASHBOARD ° My Derails ., , ,.,

AOAarTnrtyU AOC druids • Risk Profiler '*·. AOC - Creating Opportunities

My Products: With AOC you can monitor and keep track of your retirement

Adviser Twenty 12 goal.

^mi,un,ls Your ReHremem Goal is. HJOO.OOO Chert

AOC

Account Balance is 116,747

Planned Date of Retirement: 17/10/7050

Forecast Value at Retirement J9JS.31S

Annual Comnbuttons:

Based on your current settings, you ere currently NOT on target to reach your retirement goat

Hom· t Tirm snd Coni «on* 1 Pmncy Pn Icy | Contact Us I Unde | Φ Copyngnt 200. 2010 montermysupcr'· J Patent Fendn g ' L· -u· lii«'-1 ι'-ικίη» ΐ£

Figure S

5. The method according to claim 4, wherein said recommended values for each of said parameters are generated to fall within the corresponding ranges for each of said parameters defined by said user preference data.

6/16

2018200131 08 Jan 2018

Welcome. Demo Client Demo Chent. You previously togged in: Thursday Id Oct 2ΰ 1C·, 10 22 AM Logout home search funds » tools = faqs ’ contact us = about us = live support monitormysuperioMAu^^ My Dashboard MY DETAILS

IE My Details •Λ Risk Profiler Please review and update these details as needed Security AfTStmn Derate i’·.Super ' > tmasnce Otmpnniiri· My Products: Adviser Twenty'll mlfundt AOC Username: Tas file number Personal Detail· demodd0001 Hide TFH: Tide: * Print this page Given Heme: Surname: Demo Chent Middle Name(a|: Demo Client Address: Demo Client Suberb/Town: Broken Hill State: Haw South Wales · Postcode: Countiy: Australia · Phone: «83388888 Mobile: Email: OsmoCtlent@monitomtyiuper.coni. au Date of Birth: 15/01/1930 ΓΉ Adviser Details Company: Contact Heme: C.-. -ir-a·. Hew» ι;·ί Phone Humber: Email: .··' ?:r-. ·. : · -S'.ir.

Secondary Contact Entail: Curie nl Will: □

Update logout

Figure 6

6. The method according to claim 1, wherein said user display interface includes one or more adjustable user interface components to allow said user to modify said recommended values for one or more of said parameters, said method further including generating an updated projected value in response to an adjustment to any of said user interface components.

7/16

2018200131 08 Jan 2018

Welcome, Demo CAenl Demo Client. You previously togged In: Thvtsoey »< Oct 2610, 16:22 AM Logout home » search funds » tools ' faqs ° contact us » about us » live support ^H My Dashboard tt My Details Λ Risk Ptofiter logout monitormysupercoMAu_5v

My Products:

Adviser Twenty 12 mllunth

AOC w Print this page

MY DETAILS itaiV

Please review arid update these details es needed

Penanal Oettto Svtrev ' hwewe Oemgyiptucs^ ^Lnurty

Superannuation Settings

Are you an Australian resident? Include the co-contribution II you are eligible?

Select the fund for co-conlribulton; Bring forwatd rule?

a .

AMPOnSAU: AMP Deferred Araiuty/ftMP Balanced Growh Update

Heme I Tem and Coedtons I ftivaty Pofcy j Centect Utl Media IO CepyngM 2009.2010 nenltmyiupct'' I Patent Pendtn vi “ “ - * litV-Iΐί; ’‘ί”

Figure 7

7. The method according to claim 6, wherein said user interface components allow said user to set a new recommended value for each of said parameters, said new recommended value being outside of the range of values defined in said user preference data.

8/16

2018200131 08 Jan 2018

Welcome, Demo CtlerK Demo Client You prwioutly logged In: Thursoef 14 Oct iff 10. t0.23 AM. Logout home search funds ' tools faqs = contact us a about us ’ live support

A * My Dashboard IE My Details t* Risk Profiler monitormysuperioMAu iii',, MY INCOME SOURCES logout tv

My Products:

Advtaer Twenty 12 mitunds » AOC

I:

My Income

Income sources:

WED-OVO bstng your hcome sourec(s| olcno wih the superannuate ft contribute ns ri A0C assets you by calcuiatng your projected retirement goal, your ricpme sourcetsl ate Hated on the ten hano tide menu.

Occupation: Piiie Toppetg Creative Arist Primary Occupation: P; Income Type: Salary Annuli Gross Income: S«.<MS.<K! Superannuation Options Annual Tex Amount S7.903.Z0 (Click here to edit! Annual Net income: 539.9« 1.30 SCI;*. 9% Resident? Super Fund: AUP0715AU Government Co-Contribution? Monitoring Frege ncy: Bring Forward Rule? Edit Delete

- AM an Income Source fee My Expenses 6 My Retirement Goal

Superannuation Contribution Details toUier then Super Guarantee): Expand description

Fund Code Sai-Sec» Sai Sech. AR-taxS AR-TsxX

AUP0715AU »1,200.00 »00 00 / X

Regular Contributions - Expend description

Select a fund:

Select

Salary-sacrifice contribution:

'P Annua! S Amount O Percent oflricome:

After-tax contribution:

* Annual S Amount: Percent ot kieome.

Add Contribution •leoanur nonet i-njur e ms-nonsnmicnn enwixr nvnatrfincenre'TCnwBnmiiisui ua Ί3Μ(ηα.η ertmnutna η nemrteKUrm naturae fsem or ΓΜχΆϊτ orouitt kl Tua tog k jiacm omot uslie &/ ftVd dndkf *rc γμ><m tan pg ιλλϊ . Mddtp rsa ίΡψίτκι txt» htmer

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Figure 8

8. The method according to claim 1, wherein step (v) includes generating a report instead of said user display interface.

9/16

2018200131 08 Jan 2018

Welcome, Demo Ghent Demo Clieaf You previously logged in: Thursday, li Oct 2010, IO.22AM Logout home « search funds ⁿ tools a faqs c contact us ° about us a live support logout monitormysuperS-Au^. _x,_r„ * My Dashboard ft My Detail»

Disk Profiler •I#}, ADDING AN INCOME SOURCE

Enter the income source and dick Add Depending on the type of Change to Enter Other Income income, you may need to change between Salary or Other Income.

My Products:

Adviser Twenty!? mifunds . AOC My Income

Description:

Short Name:

Salary

If you receive a regular salary for this occupation, enter I he value of your yearly income Primary Occupation: fj

Annuel Gross Income: 1 SGL: %

Income sources: srPIZZAMAKER WED-DVD

Super Fund: Monitoring Frequency:

-Select - Select · - Add an Incoma Source

Add

Cancel feh My Expense·

A My Retirement Goal

ΙΜΡΟΚΤΑΝΤ HOIICE;

Monifix My Sup*· Ply LtS nc twttnrr»n4ih>n) n ID lh* mer-D 0* Si> DepOrtuAity rttPIM U in iftH wttolt» « >« en*»l»l B*tart ''etontj any irdWnwtf e«rtiDPi pfl bt*i» ef «ft/ ibiaau tx ixfomnfon provided you nuu read the pwiid dudosuro ijppivc by im ·υρί ρτΟνιύν bap φμ you· own tpvnf+i Μΐοπ» r*Qanti rg IM t · oa,roet' mititj Hity · a fl csmpMl*F<*n «f the I Rfomutfin T ha I nfcrrMtteri h** b**n piwp«r»d hy ρο&·&jtke* dvv th int*fn<t *im) afu es-ul t«i pq +i*tt fttXQuftr tft*' ίΐΊν*φη«πΐ objectives. HftiPciBl iHueuen erd ptniaalai M»ds of Bhy PBrtin<4sf p*ncD. All indkubeft* el Mrformti* ® b»b htuorial srd ob«tdl b* r«htg upcr b* Bft Inblcftfei far feu*· ikBrtcrnvuho»,

Home | Ten» iwt Goftdto« | Prweqr Pofcy g Contact Ub | Wed· l © Cflprriflftl 2009,2010 mo π Iftr mysuper^w X detent Pertfl Ing ^f, *

Figure 9

9. A computer-implemented system of optimising a value of a user’s investment portfolio based on a user profile for said user, said system comprising:

2018200131 08 Jan 2018 (i) means for accessing, from said user profile, target value data representing a target value of said portfolio to be achieved within a predetermined future timeframe, and portfolio data identifying one or more assets of said portfolio;

(iv) means for generating, based on said configuration data and said user preference data, recommended values for each of said parameters for increasing said projected value to minimise a difference between said projected value and said target value; and (v) means for generating a user display interface for displaying one or more of said recommended values to said user.

10/16

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Welcome, Derm Clmnt Demo Client. You prertoialy logged in: ThurMay, 14 Ocf 2010, 10:22 AU. Logout home “ search funds » tools < toqs ’ contact us ° about us ’ live support monitormysuperioMAu..

ban logout

* My Qashboerd ilS'i, MY EXPENSES 4i My Detail* Enter end configure your expert tea t# Risk Profiler ΕΐφβαοΜ ttonrtoflng Ff*qo*f e·» Vieori Vtaft ' My Products: Adviser TwentytI Set the mentoring frequency to keep track of the scleaet) expenditure etna, Expand help description mifunds Save All ► aoc ? ; .tgi. f. Ktt»W b«B0M ’ Select* v Update all ttoma 1 My Income Home Expenditure Annual Amount: R Showritide My bip«Rtes • Living Expenditure Annual Amount: SO StHMrAiide * My Retirement Goal Transportation Expenditure Annual Amount: SO ShowfKide Entertainment Expewfiture Annua! Amount SO Sbow/Kide Health Expenditure Annual Amount SO SnowfHide Holiday Expenditure Annual Amount SO Sbour/Klde Recreation Expenditure Annual Amount SO Shour/Kide Subscription Expenditure Annual Amount SO Show/Hide Pe reorui Expe ndllure Annual Amount SO SbpwAtide Finaneist Expenditure Annual Amount: SO ShOWiWde Complimentary Expenditure Annual Amount SO Showrittdo Miscellaneous Payments Annual Amount SO ShowJHkfe

- Soled · ▼ Update thia Category

Monitoring Frequency

Other -Soda- i

IMPORTANT M0nc<:

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Figure 10

10. A computer-implemented system of optimising a value of a user’s investment portfolio based on a user profile for said user, said system comprising one or more computers including:

at least one processor;

an interface between said processor and a data network;

2018200131 08 Jan 2018 (i) accessing, from said user profile stored in said database, target value data representing a target value of said portfolio to be achieved within a predetermined future timeframe, and portfolio data identifying one or more assets of said portfolio;

(iv) generating, based on said configuration data and said user preference data, recommended values for each of said parameters for increasing said projected value to minimise a difference between said projected value and said target value; and (v) generating a user display interface for displaying, via said data network, one or more of said recommended values to said user,

11/16

2018200131 08 Jan 2018

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ΊΐΙ,ι MY EXPENSES Enter and configure your expenses

Expma Menlorttf Fnquvieia Vb ml View

My Product»:

Adviser Twenty 12 Graphical view of your expenses mitunda

My Income few My Expense· ft My Retirement Goal | Horne Expenditure

Living Expenditure

Transportation Expend Jure tMPOmXNT HOtKE;

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Figure 11

11, A tangible computer-readable medium having computer-executable instructions stored thereon for performing a method of optimising a value of a user’s investment portfolio based on a user profile for said user, said method comprising:

2018200131 08 Jan 2018 (iii) accessing configuration data and user preference data for a plurality of predetermined investment optimisation strategies, said configuration data including data representing one or more variable parameters associated with each of said strategies and data representing rules for generating a value of said portfolio based on one or more of said parameters, said user preference data from said user profile including data representing a range of user defined values associated with each of said parameters;

(iv) generating, based on said configuration data and said user reference data, recommended values for each of said parameters for increasing said projected value to minimise a difference between said projected value and said target value; and (v) generating a user display interface for displaying one or more of said recommended values to said user.

12/16

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2018200131 08 Jan 2018 monitormysuperSoMXJ_te;1.

“ My Dashboard *> My Detail» «► Risk Profiler

My Products: Adviser Twenty! 2 mlfunds * *OC > My Income be My Expenses A My Retirement Goal ,lffc MY RETIREMENT GOAL

We are using AOC to monitor your retirement goal and we have Included some suggestions hr you to consider. Alternatively you may wish to use the Whet It section Once you have decided on the best path forward, you should discuss this wnh your aeeountant/sdnser who will assist you further

Remember, you can always re-cons Id er your retirement goal and your income requirements in retirement We haie prepared this simple questionnaire to help you set your goat

Quick View

Current Retirement Expectation!

Planned Date of Retirement

Monitoring Frequency

Date of Birth

1200000

1T/1Q/20S0

- Select - 157D1/19B0

Save the changes to recalculate Q so aseo«sosssoes *n«£lrwn*M Ceil UVour mpv

Personal superannuation detail»:

Current Super Balance Forecast Value at Retirement Difference at Retirement Difference in Years Salary Annual Gross Salary Other Net Income Annual Net Income Annual Contn buttons Annual Personal Expenses $16,747 S 1.066. £61 5133 435 -1 year(sj $49,046 Z $83,233 Z $114,252 Z $10,123 Z $27,000 Z

Retirement Goal ale tut;

You are not on track io achieve your retire mem goal

Figure 12

12. A computer-implemented method of optimising a value of a user’s investment portfolio based on a user profile for said user, said method comprising:

(iii) accessing configuration data and user preference data for a plurality of predetermined investment optimisation strategies, said configuration data including data representing one or more variable parameters associated with each of said strategies and data representing rules for generating a value for said portfolio based on one or more of said parameters, said user preference data from said user profile including data representing a range of user defined values associated with each of said parameters;

(iv) generating, based on said configuration data and said user preference data, recommended values for each of said parameters for increasing said projected

2018200131 08 Jan 2018 value to minimise a difference between said projected value and said target value; and (v) generating a user display interface for displaying one or more of said recommended values to said user.

13/16

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2018200131 08 Jan 2018 mon itormysu per^u ._r.

> My Dashboard til My Detail* t* Risk Profiler

My Product*:

Adviser Twenty,2 mlfunds ♦ .Ape i ' My Income fc»My Expenses Ά My Retirement Goal £ MY RETIREMENT GOAL

We ere using AOC le manitoi your retirement goal and we have included some suggestions for you to consider Altemsinaty you may wish to use the Who I If section Once you here decided on the be si path forward you should discuss this with your sccountemiarMser who will assist you further i

Remember, you can always reconsider your retirement goal and your income requirements in retirement We have prepared this simple questionnaire to help you set your goal

Quick View Your Strategy Options

Strategy Considerations:

Previous Herd

Desed on your desired retirement goal of 51-209,000. the following list of considerations are possible methods to help you aeheive your objectives.

Your currant super value Is: 516.747

Your main fund is: AMP0715AU ft Increase your concessional contributions by Ml per week *?' Increase your non-concessional contributions by 535 per week

Use the powerful What II tool to customise your contributions and see youi results : Hone ol the abew iuportakt nonce

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Figure 13

13. The method according to claim 12, wherein said step (ii) includes generating said projected value based on said performance data and said risk profile data, wherein said projected value is generated based on said performance data captured over a shorter period of time when said user’s risk profile data represents a higher threshold for risk, and said projected value is generated based on said performance data captured over a longer period of time when said user’s risk profile data represents a lower threshold for risk, said risk profile data representing said user’s threshold level of investment risk for said portfolio.

14/16 oo

2018200131 08 Jan 20

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Mr Oeieib I* RM Prdllar

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My Incom· ^tty txponaet * Uy Rddremem Cool fft MY RETIREMENT GOAL

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Strwmbof. you cen etaeys re-eoriidjH yore retirement ycoi end you^r income reErunmente in retnemem We hev· ptpond imt itotple quetOermohe to help you iet your goal,

Quick Vio«v

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Confirm your Strategy

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You have thoaan to· (allowing

Pratogy option I:

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Figure 14

14. The method according to claim 12, wherein said valuation data further includes fees data representing a total value of any fees and disbursements associated with the management of said portfolio.

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2018200131 08 Jan 2018 * My Dashboard SC My Details *4 Risk Pi oilier

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My Income to» My Expenses A My Retirement Goal tfi MY RETIREMENT GOAL

We are using AOC to monitor your retirement goal and we have included some suggestions br you to consider AHematwely you may wish to use the What If section Once you have decided on the best path forward, you should discuss this with your accountanPadn'ser who will assist you further

Remember, you can always re-considet your retirement goal and your income requirements in retirement We have prepared this simple questionnaire Io help you set your goal.

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What III wall to start new strategy yeai

15. The method according to claim 12, wherein said predetermined investment optimisation strategies include one or more of the following:

increasing said user’s concessional contributions to said portfolio; increasing said user’s non-concessional contributions to said portfolio;,and increasing a lump sum contribution to said portfolio;

16. The method according to claim 15, wherein said recommended values for each of said parameters are generated to fall within the corresponding ranges for each of said parameters defined by said user preference data.

17. The method according to claim 12, wherein said user display interface includes one or more adjustable user interface components to allow said user to modify said

2018200131 08 Jan 2018 recommended values for one or more of said parameters, said method further including generating an updated projected value in response to an adjustment to any of said user interface components.

18. The method according to claim 17, wherein said user interface components allow said user to set a new recommended value for each of said parameters, said new recommended value being outside of the range of values defined in said user preference data.

19. The method according to claim 12, wherein said step (v) involves generating a report instead of said user display interface.

20. A computer-implemented system of optimising a value of a user’s investment portfolio based on a user profile for said user, said system comprising:

(iii) means for access configuration data and user preference data for a plurality of predetermined investment optimisation strategies, said configuration data including data representing one or more variable parameters associated with each of said strategies and data representing rules for generating a value for said portfolio based on one or more of said parameters, said user preference data from said user profile including data representing a range of user defined values associated with each of said parameters;

2018200131 08 Jan 2018

21. A computer-implemented system of optimising a value of a user’s investment portfolio based on a user profile for said user, said system comprising one or more computers including:

at least one processor;

an interface between said processor and a data network;

(iv) generating, based on said configuration data and said user preference data, recommended values for each of said parameters for increasing said projected value to minimise a difference between said projected value and said target value; and

2018200131 08 Jan 2018 (v) generating a user display interface for displaying, via said data network, one or more of said recommended values to said user.

22. A tangible computer-readable medium having computer-executable instructions stored thereon for performing a method of optimising a value of a user’s investment portfolio based on a user profile for said user, said method comprising:

2018200131 08 Jan 2018

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2018200131 08 Jan 2018

Welcome, Demo Client 0&πκ> Clmit You previously logged In: Thursday, Id Oct 2010, 10:22 AM Logout home search funds ^:: tools = faqs contact us ° about us * live support logout monitormysuperi'oM.Au_fcil,_it ifc MY RETIREMENT GOAL

We are using AOC to monitor your retirement goal and we have included sortie suggestions for you (o consider Attematrvety you may wish to use the Whal If section. Once you have decided on the best path forward, you should discuss this with your accountantradviser who will assist you further

Remember, you can always reconsider your retirement goal and your income requirements in retirement

We have prepared this simple questionnaire tn help you set your goat.

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Mow that you hare completed the Retirement Goal Wizard, click on Send Email* to send the results Io your e-Uy Income Accountanl/Adriser. which will notify them ol your selection This will assist them in deciding whal the , appropriate next steps will be to ensure a satisfactory result

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Figure 16