Supply Chain Performance Management Tool for Profiling A Supply Chain

• US 20130085812A1
• Filed: 09/28/2012
• Published: 04/04/2013
• Est. Priority Date: 09/30/2011
• Status: Abandoned Application

• Current Assignee: Competitive Insights LLC
• Original Assignee: Competitive Insights LLC
• Inventors: Sharpe, Richard, Rowden, Tammy, Goldsman, Lynne, Hart, Beth Urban, Quinet, Joyce, Binyala, Vinod, Naumann, Don
• Application Number:
  US13/630,794
• Publication Number:
  US 20130085812A1
• Time in Patent Office: Days
• US Class Current: 705/7.38
• CPC Class Codes: G06Q 10/06311 Scheduling, planning or task assignment for a person or group

Abstract

A method for providing a supply chain performance management tool may include receiving an identification of supply chain entities and corresponding operational activities therebetween for an organization to generate a functional representation of the supply chain, receiving natively formatted data from the entities of the organization where the natively formatted data is indicative of transactional layer activities, converting, via processing circuitry, the natively formatted data to processed data using a rule set for data conversion developed for the organization, and associating the processed data to the functional representation for generation of one or more reports indicative of supply chain performance.

Claims

1. A method for providing a supply chain performance management tool comprising:

receiving an identification of supply chain entities and corresponding operational activities therebetween for an organization to generate a functional representation of the supply chain;

receiving natively formatted data from the entities of the organization, the natively formatted data being indicative of transactional layer activities;

converting, via processing circuitry, the natively formatted data to processed data using a rule set for data conversion developed for the organization; and

associating the processed data to the functional representation for generation of one or more reports indicative of supply chain performance.

2. The method of claim 1, wherein receiving natively formatted data comprises receiving data indicative of transactional layer activities at a stock keeping unit level.

3. The method of claim 1, wherein generating the functional representation comprises generating a visual representation of each of the entities and corresponding links between respective ones of the entities, wherein the links are indicative of actual flows between the respective ones of the entities.

4. The method of claim 3, wherein associating the processed data to the functional representation comprises enabling user selection of one of the links via a graphical interface and providing corresponding processed data that is associated with the one of the links that is selected.

5. The method of claim 3, wherein access to at least some of the links is limited based on a permission level granted to the user.

6. The method of claim 3, wherein different types of flows are represented with corresponding different visual representation characteristics.

7. The method of claim 3, wherein associating the processed data to the functional representation further comprises graphically depicting the links such that the links are filterable based on predefined criteria.

8. The method of claim 1, wherein receiving an identification of supply chain entities and corresponding operational activities therebetween comprises receiving information indicative of a first type of flow on a first entry page and receiving information indicative of a second type of flow on a second entry page.

9. The method of claim 1, wherein converting the natively formatted data to processed data comprises generating the rule set using data linkage keys that associate data used in a first context by one of the entities to data used in a second context by another of the entities and employing the rule set to correlate data between entities prior to conversion into the processed data.

10. The method of claim 9, wherein converting the natively formatted data to processed data comprises cleansing the processed data using an algorithm configured to parse data linked via the data linkage keys to identify missing data or outlier data.

11. The method of claim 1, further comprising providing the processed data to a cross functional team of individuals associated with respective different entities to receive input from the cross functional team to validate the processed data such that the processed data represents data confirmed as accurate by the cross functional team.

12. The method of claim 1, wherein associating the processed data to the functional representation comprises enabling user selection of an option to display a net landed cost to serve comprising every element of cost aggregated over an entire end to end transition represented in the supply chain.

13. A computer program product for providing a supply chain performance management tool, the computer program product comprising at least one computer-readable storage medium having computer-executable program code instructions stored therein, the computer-executable program code instructions comprising program code instructions for:

receiving an identification of supply chain entities and corresponding operational activities therebetween for an organization to generate a functional representation of the supply chain;

receiving natively formatted data from the entities of the organization, the natively formatted data being indicative of transactional layer activities;

converting, via processing circuitry, the natively formatted data to processed data using a rule set for data conversion developed for the organization; and

associating the processed data to the functional representation for generation of one or more reports indicative of supply chain performance.

14. The computer program product of claim 13, wherein program code instructions for receiving natively formatted data include instructions for receiving data indicative of transactional layer activities at a stock keeping unit level.

15. The computer program product of claim 13, wherein program code instructions for generating the functional representation include instructions for generating a visual representation of each of the entities and corresponding links between respective ones of the entities, wherein the links are indicative of actual flows between the respective ones of the entities.

16. The computer program product of claim 15, wherein program code instructions for associating the processed data to the functional representation include instructions for enabling user selection of one of the links via a graphical interface and providing corresponding processed data that is associated with the one of the links that is selected.

17. The computer program product of claim 15, wherein different types of flows are represented with corresponding different visual representation characteristics.

18. The computer program product of claim 13, wherein program code instructions for converting the natively formatted data to processed data include instructions for generating the rule set using data linkage keys that associate data used in a first context by one of the entities to data used in a second context by another of the entities and employing the rule set to correlate data between entities prior to conversion into the processed data.

19. The computer program product of claim 18, wherein program code instructions for converting the natively formatted data to processed data include instructions for cleansing the processed data using an algorithm configured to parse data linked via the data linkage keys to identify missing data or outlier data.

20. The computer program product of claim 13, further comprising program code instructions for providing the processed data to a cross functional team of individuals associated with respective different entities to receive input from the cross functional team to validate the processed data such that the processed data represents data confirmed as accurate by the cross functional team.