COMMERCIAL INVESTMENT ANALYSIS

• US 20140164292A1
• Filed: 02/18/2014
• Published: 06/12/2014
• Est. Priority Date: 05/30/2008
• Status: Active Grant

• Current Assignee: Strategyn Holdings LLC
• Original Assignee: Strategyn Holdings LLC
• Inventors: Haynes, James M. III, Ulwick, Anthony W.
• Granted Patent: US 8,924,244 B2
• Time in Patent Office: Days
• US Class Current: 705/36.R
• CPC Class Codes: G06Q 10/00 Administration; Management
• CPC Class Codes: G06Q 10/0631 Resource planning, allocation, distributing or scheduling for enterprises or organisations
• CPC Class Codes: G06Q 10/06313 Resource planning in a project environment
• CPC Class Codes: G06Q 10/06315 Needs-based resource requirements planning or analysis
• CPC Class Codes: G06Q 10/06375 Prediction of business process outcome or impact based on a proposed change
• CPC Class Codes: G06Q 10/067 Enterprise or organisation modelling
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 30/0202 Market predictions or forecasting for commercial activities
• CPC Class Codes: G06Q 40/00 Finance; Insurance; Tax strategies; Processing of corporate or income taxes
• CPC Class Codes: G06Q 40/06 Asset management; Financial planning or analysis

Abstract

A technique for performing commercial venture analysis involves establishing an empirically-derived structure and evaluating companies using analytical techniques within that structure. The technique may involve defining jobs, or goals a customer is attempting to reach, with dozens or even hundreds of outcomes. Ideally, the structure and tools facilitate analysis that would not be possible otherwise. Moreover, the nature of the system enables real-time input for changing conditions and the ability to calculate returns for new markets in which products or services do not exist.

Claims

1. A method comprising:

identifying one or more jobs and one or more job executors;

identifying one or more needs for the one or more job executors based at least upon respective outcomes of the one or more jobs;

scoring one or more offerings for the one or more needs against the one or more jobs and respective outcomes;

scoring a solution for the one or more offerings based on the one or more jobs and respective outcomes;

calculating one or more costs for the solution;

determining, using the one or more costs, if the solution can be delivered to create an investment rate of return (IRR) for the solution.

2. The method of claim 1 wherein the one or more job executors comprises a demographic for an investment decision.

3. The method of claim 1 wherein the one or more jobs includes at least one job a demographic is trying to accomplish.

4. The method of claim 1 wherein each of the one or more jobs and respective outcomes is rated for its importance and satisfaction level by the one or more job executors.

5. The method of claim 1 wherein each of the one or more jobs and respective outcomes is rated using an opportunity score algorithm, thereby providing an opportunity score for each of the one or more jobs and respective outcomes.

6. The method of claim 5 wherein the one or more jobs and respective outcomes define an appropriately served or over-served market, further comprising configuring the opportunity score algorithm to identify an underserved niche job in the one or more jobs.

7. The method of claim 5 wherein the one or more jobs and respective outcomes define an underserved market and the opportunity score does not meet an opportunity score threshold, further comprising determining whether a demographic views each of the one or more jobs as being underserved.

8. The method of claim 5, further comprising determining a value add of the solution based on a weighted average of the opportunity score.

9. The method of claim 1 wherein the IRR meets an IRR threshold.

10. A system comprising:

a market selection engine configured to identify one or more jobs and one or more job executors;

a customer data capture engine, coupled to the market selection engine, configured to identify one or more needs for the one or more job executors based at least upon respective outcomes of the one or more jobs;

a platform innovation engine, coupled to the customer data capture engine, configured to score one or more offerings for the one or more needs against the jobs and outcomes;

a business model selection engine, coupled to the platform innovation engine, configured to;

score a solution for the one or more offerings based on the one or more jobs and respective outcomes;

calculate costs for the solution;

identify a willingness of a customer to pay to have at least one of the one or more jobs completed with maximum satisfaction;

an investment engine, coupled to the business model selection engine, configured to determine, using the costs, whether the solution can be delivered to create an investment rate of return (IRR).

11. The system of claim 10, further comprising a jobs and outcomes datastore, coupled to the market selection engine, configured to store a record of the one or more job executors, wherein the one or more job executors comprises a demographic for an investment decision.

12. The system of claim 10, further comprising a jobs and outcomes datastore, coupled to the market selection engine, configured to store a record of the one or more jobs, wherein the one or more jobs comprises at least one job the demographic is trying to accomplish.

13. The system of claim 10, further comprising a jobs and outcomes datastore, coupled to the market selection engine, configured to store a record of the one or more jobs and the one or more job executors, wherein each of the one or more jobs and respective outcomes is rated for its importance and satisfaction level by the one or more job executors.

14. The system of claim 10, further comprising a jobs and outcomes datastore, coupled to the market selection engine, configured to store a record of the one or more jobs and the one or more job executors, wherein the business model selection engine is configured to rate each of the one or more jobs and respective outcomes using an opportunity score algorithm and store an opportunity for each of the jobs and outcomes in the jobs and outcomes datastore.

15. The system of claim 14 wherein the one or more jobs and respective outcomes define an appropriately served or over-served market, wherein the business model selection engine is configured to use the opportunity score algorithm to identify an underserved niche job in the one or more jobs.

16. The system of claim 14 wherein the opportunity score algorithm comprises determining an opportunity score of each of the one or more jobs and respective outcomes based on an importance of the one or more jobs and respective outcomes, added to a maximum of a difference between the importance and a satisfaction of the respective outcomes, and a null value.

17. The system of claim 14 wherein the business model selection engine is configured to determine, if the opportunity score does not meet an opportunity score threshold, whether a demographic views the one or more jobs and respective outcomes as being underserved.

18. The system of claim 14 wherein the business model engine is configured to determine a value add of the solution based on a weighted average of the opportunity score.

19. The system of claim 10 wherein the IRR meets an IRR threshold.

20. A system comprising:

a means for identifying one or more jobs and one or more job executors;

a means for identifying one or more needs for the one or more job executors based at least upon respective outcomes of the one or more jobs;

a means for scoring one or more offerings for the one or more needs against the one or more jobs and respective outcomes;

a means for scoring a solution for the one or more offerings based on the one or more jobs and respective outcomes;

a means for calculating one or more costs for the solution;

a means for determining, using the one or more costs, if the solution can be delivered to create an investment rate of return (IRR) for the solution.