Dynamic scripts for tele-agents

1. A method for creating an on-call real-time dynamic script for a tele-agent the method comprising the steps of:

receiving, by a dynamic script engine, during a sales call, real-time industry trend data from one or more remote industry resources from a resource group consisting of an analyst information repository and a stock and commodities market trend aggregator;

calculating using regression analysis of the industry trend data and current products available to a customer to create a current industry score during the sales call, wherein creating the current industry score in dependence upon the industry trend data and current products available to the customer further comprises:

creating a real-time graph database including nodes, edges, and properties in dependence upon real-time industry trend data;

traversing the real-time graph database;

applying a machine learning engine to the traversed real-time graph database; and

creating the current industry score in dependence of an application of the machine-learning engine, the traversed real-time graph database, and the real-time industry trend data;

transmitting the current industry score to a script generator;

receiving, by the script generator, the current industry score from a statistics engine; and

dynamically reordering in real-time and in dependence upon the current industry score and the traversed real-time graph database one or more sentences of a dynamic script presented to the tele-agent during the sales call, wherein dynamically reordering one or more sentences comprises:

retrieving a sentence number from the dynamic script,

applying a reordering rule that is a function of the current industry score, and

assigning a new sentence number to the sentence based on the current industry score.

2. The method of claim 1 further comprising:

selecting one or more additional sentences from a repository of dynamic script information; and

inserting the one or more additional sentences into the dynamic script.

3. The method of claim 2 wherein the one or more additional sentences are directed to a software product that the customer does not already own.

4. The method of claim 2 wherein the one or more additional sentences are directed to features of a software product that the customer already owns.

5. The method of claim 1 wherein:

the resource group includes a speech recognition engine; and

the industry trend data includes data derived from one or more transcripts of other sales calls of other tele-agents.

6. The method of claim 1 wherein:

the resource group includes an agent result data repository; and

the industry trend data includes one or more notes made by other tele-agents on other sales calls.

7. The method of claim 1 wherein the industry trend data includes real-time commodities information.

8. The method of claim 1 wherein the industry trend data includes real-time stock information.

9. A system for creating real-time dynamic scripts for tele-agents, comprising:

a computer server coupled to a network, the computer server having a processor and a memory; and

a dynamic script engine software module stored in the memory and executable by said processor, said dynamic script engine software module including a statistics engine software module, a script generator software module, a product list, and a repository of dynamic script information;

said computer server coupled via the network to at least one remote resource from a resource group consisting of an analyst information repository and a stock and commodities market trend aggregator;

said statistics engine software module configured to, during the sales call, receive real-time industry trend data from the at least one remote resource, and calculate, using regression analysis of the product list and the real-time industry trend data, a current industry score, wherein:

the dynamic script engine software module further includes a graphical database system;

the statistics engine software module is further configured to

store the real-time industry trend data using the graphical database system to create a real-time graph database having a plurality of nodes, edges, and properties,

traverse the real-time graph database,

apply a machine learning algorithm to the traversed real-time graph database; and

create the current industry score in dependence of an application of the machine-learning algorithm, the traversed real-time graph database, and the real-time industry trend data;

said script generator software module configured to, during the sales call, dynamically reorder in real-time and in dependence upon the current industry score and the traversed real-time graph database, one or more sentences of a dynamic script presented to a sales agent during the sales call, wherein dynamically reordering the one or more sentences comprises:

retrieving a sentence number from the dynamic script,

applying a reordering rule that is a function of the current industry score, and

assigning a new sentence number to the sentence based on the current industry score.

10. The system of claim 9 wherein:

the script generator software module is further configured to select from the repository of dynamic script information an additional sentence and insert the sentence into the dynamic script.

11. The system of claim 9 wherein:

said computer server is coupled to an agent result data repository that includes a plurality of sales call notes;

said computer server is coupled to a speech recognition engine that includes a plurality of call transcripts; and

the real-time industry trend data includes data derived from the plurality of sales call notes and the plurality of call transcripts.

12. The system of claim 11 wherein:

the graph database includes data originating from one or more of the group consisting of the plurality of call transcripts, the plurality of sales call notes, a white paper, a social media account, an analyst blog, a business news feed, a commercial research database, and a prior sale.

13. The system of claim 9 wherein:

said regression analysis is parametric.

14. The system of claim 13 wherein:

said regression analysis includes one from the group consisting of a linear regression and an ordinary least squares regression.

15. The system of claim 9 wherein:

said regression analysis is nonparametric.