Interactive sales performance management system

• US 20040193503A1
• Filed: 12/24/2003
• Published: 09/30/2004
• Est. Priority Date: 10/04/2000
• Status: Abandoned Application

• Current Assignee: Jeffrey Eder
• Original Assignee: Jeffrey Eder
• Inventors: Eder, Jeff Scott
• Application Number:
  US10/746,673
• Publication Number:
  US 20040193503A1
• Time in Patent Office: Days
• US Class Current: 705/26.1
• CPC Class Codes: G06Q 10/087 Inventory or stock management, e.g. order filling, procurement or balancing against orders
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0601 Electronic shopping [e-shopping]
• CPC Class Codes: G06Q 40/00 Finance; Insurance; Tax strategies; Processing of corporate or income taxes

Abstract

A method of and system for improving the financial performance and operational effectiveness of an interactive sales process. Interactive sales processes include on-line interactive sales from e-commerce web sites, sales from on-line exchanges, sales completed by telemarketing centers and combinations thereof.

Claims

1. A computer supported sales method, comprising:

creating a model that quantifies a net impact of one or more elements and sub-elements of value on a value of a business with at least one sub-element of customer value by learning from the data,

defining one or more baskets purchased from the business and their associated causal SKU'"'"'s by sub-element of customer value, and

identify a causal SKU promotional offer for each basket that maximizes business value using said model.

2. The method of claim 1 that further comprises:

obtaining information that identifies a sub-element of customer value for a potential customer,

presenting the value maximizing promotional offer for said sub-element of customer value to the customer using an interactive sales process, and

optionally, completing one or more sales transactions in an automated fashion.

3. The method of claim 1 where the net impacts are quantified for each of one or more categories of value where the categories of value are selected from the group consisting of current operation, real options, market sentiment and combinations thereof.

4. The method of claim 1 where the net impact of one or more elements and sub-elements of value is the direct impact of the element and sub-element on business value net of any impact on any other elements or sub-elements of value.

5. The method of claim 1 wherein supply chain status and forecast SKU availability are considered when selecting the promotional offer.

6. The method of claim 1 wherein the apriori algorithm is used to determine the content of the baskets typically purchased by each customer sub element of value.

7. The method of claim 1 wherein a CCU or LCD causal association algorithm is used to identify one or more causal SKU'"'"'s for each basket.

8. The method of claim 1 wherein the business is a single product, a group of products, a division, a company, a multi company corporation or a value chain.

9. The method of claim 1 where the elements of value are from the group consisting of alliances, brands, channels, customers, customer relationships, employees, equipment, intellectual property, investors, partnerships, processes, production equipment, vendors, vendor relationships and combinations thereof.

10. The method of claim 1 wherein the interactive sales process is selected from the group consisting of e-commerce sales, sales from on-line exchanges, telemarketing and combinations thereof.

11. A computer readable medium having sequences of instructions stored therein, which when executed cause the processors in a plurality of computers that have been connected via a network to perform a pricing method, comprising:

obtaining a model that includes at least one sub element of customer value and identifies a net contribution of one or more elements and sub-elements of value to a value of a business by category of value;

defining one or more baskets purchased from the business and their associated causal SKU'"'"'s by sub-element of customer value; and

identifying a causal SKU promotional offer for each basket that maximizes business value using said model.

12. The computer readable medium of claim 11 where the method further comprises:

obtaining information that identifies a sub-element of customer value for a potential customer;

presenting the value maximizing promotional offer for said sub-element of customer value to the customer using an interactive sales process; and

optionally, completing sales transactions in an automated fashion.

13. The computer readable medium of claim 11 where the contribution model is developed by learning from business related data.

14. The computer readable medium of claim 11 where the categories of value are selected from the group consisting of current operation, real options, market sentiment and combinations thereof.

15. The computer readable medium of claim 11 wherein supply chain status and forecast availability are considered when selecting the promotional offer.

16. The computer readable medium of claim 11 wherein the apriori algorithm is used to determine the content of the baskets typically purchased by each customer sub element of value.

17. The computer readable medium of claim 11 wherein a CCU or LCD causal association algorithm is used to identify one or more causal SKU'"'"'s for each basket.

18. The computer readable medium of claim 11 wherein the business is a single product, a group of products, a division, a company, a multi company corporation or a value chain.

19. The computer readable medium of claim 11 where the elements of value are from the group consisting of alliances, brands, channels, customers, customer relationships, employees, equipment, intellectual property, investors, partnerships, processes, production equipment, vendors, vendor relationships and combinations thereof.

20. The computer readable medium of claim 11 wherein the interactive sales process is selected from the group consisting of e-commerce sales, sales from on-line exchanges, telemarketing and combinations thereof.

21. The computer readable medium of claim 11 where the net contribution of one or more elements and sub-elements of value is the direct contribution of the element and sub-element to business value net of any contribution to any other elements or sub-elements of value.

22. A computer readable medium having sequences of instructions stored therein, which when executed cause the processor in a computer to perform a process method, comprising:

obtaining a process specification,

creating a model that quantifies a net impact of one or more elements of value on a value of a business,

identifying one or more relationships between specified process outputs and the elements of value in said model, and

determining a set of process variable values that will optimize one or more aspects of business financial performance using said model and relationships.

23. The computer readable medium of claim 22 where the model is created by learning from business related data.

24. The computer readable medium of claim 22 where the model quantifies net element impacts by category of value where the categories of value are selected from the group consisting of current operation, real options, market sentiment and combinations thereof.

25. The computer readable medium of claim 22 where the aspects of financial performance are selected from the group consisting of revenue, expense, capital change, current operation value, real option value, market value and combinations thereof.

26. The computer readable medium of claim 22 wherein the process is an interactive sales process and the process variables include the promotional price for causal SKU'"'"'s by basket and vendor order quantities.

27. The computer readable medium of claim 22 where optimizations are completed using methods from the group consisting of genetic algorithms, multi criteria optimization models and Monte Carlo simulations.

28. The computer readable medium of claim 22 where processes are selected from the group consisting of purchasing, replenishment, sales and combinations thereof.

29. The computer readable medium of claim 28 where the purchasing optimization includes an optimization of purchase volume discounts.

30. The computer readable medium of claim 22 where the process specification includes attributes from the group consisting of process budget, process operating factors, process outputs, process variables, the relationship between process variables, budget and outputs and combinations thereof.