COMMERCIAL INVESTMENT ANALYSIS

• US 20090299912A1
• Filed: 06/01/2009
• Published: 12/03/2009
• Est. Priority Date: 05/30/2008
• Status: Active Grant

• Current Assignee: Strategyn Holdings LLC
• Original Assignee: Strategyn Incorporated
• Inventors: Haynes, James M. III, Ulwick, Anthony W.
• Granted Patent: US 8,214,244 B2
• Time in Patent Office: Days
• US Class Current: 705/36.00R
• 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 system comprising:

a platform templates database;

a platform innovation engine coupled to the platform templates database;

a business model selection engine coupled to the platform templates database;

an investment engine coupled to the platform templates database;

wherein, in operation,

the platform innovation engine adjusts parameters of a template from the platform templates database to improve a score associated with a job;

the business model selection engine facilitates generation of a basic business model using the platform associated with the template;

the investment engine recommends investment in a venture utilizing the platform associated with the template and the basic business model.

2. The system of claim 1 further comprising:

a jobs and outcomes database;

a market selection engine coupled to the jobs and outcomes database;

wherein, in operation, the market selection engine selects a market using jobs data from the jobs and outcomes database.

3. The system of claim 1 further comprising:

a target markets database;

a customer data capture engine coupled to the target markets database;

wherein, in operation, the customer data capture engine captures desired outcomes for jobs for use by the platform innovation engine.

4. The system of claim 1 further comprising:

a recommended business models database coupled to the business model selection engine and the investment engine;

wherein the business model selection engine stores the basic business model in the recommended business models database and the investment engine uses the basic business model from the recommended business models database.

5. The system of claim 1 further comprising:

a features database;

a feature selection engine coupled to the features database;

wherein, in operation, the feature selection engine adds features to the platform.

6. A system comprising:

means for identifying a market to target for an investment decision;

means for identifying unmet customer needs based on jobs and outcomes;

means for scoring competitive product or service offerings against the jobs and outcomes;

means for scoring a solution based on jobs and outcomes and the solution'"'"'s ability to increase satisfaction;

means for identifying the willingness of a customer to pay to have the job completed with maximum satisfaction;

means for calculating fixed and variable costs for the solution;

means for determining if the solution can be delivered to create an investment rate of return (IRR) that meets an IRR threshold.

7. A method comprising:

providing a value delivery platform data structure;

comparing the value delivery platform data structure with templates of existing value delivery platform data structures;

using creativity triggers to modify the parameters of the value delivery platform data structure;

providing a basic business model data structure;

using creativity triggers to modify parameters of the basic business model data structure;

applying features to the value delivery platform data structure;

providing an investment decision.