Real Time Allocation Engine For Merchandise Distribution

• US 20150039376A1
• Filed: 07/31/2013
• Published: 02/05/2015
• Est. Priority Date: 07/31/2013
• Status: Abandoned Application

• Current Assignee: SAP SE
• Original Assignee: SAP AG (SAP SE)
• Inventors: Vogelgesang, Timo
• Application Number:
  US13/955,736
• Publication Number:
  US 20150039376A1
• Time in Patent Office: Days
• US Class Current: 705/7.25
• CPC Class Codes: G06Q 10/06315 Needs-based resource requirements planning or analysis
• CPC Class Codes: G06Q 10/087 Inventory or stock management, e.g. order filling, procurement or balancing against orders

Abstract

A system includes an allocation table configured for use in a push-driven retail allocation business. The configuration for the push-driven retail allocation business includes a centrally organized headquarter office and a plurality of distribution points. The merchandise is procured by the centrally organized headquarter office and distributed under guidance of the centrally organized headquarter office to the plurality of distribution points. The system also includes an allocation engine processor logically coupled to the allocation table, and an in-memory database logically coupled to the allocation engine processor. The system procures the merchandise from a vendor and distributes the merchandise to the plurality of distribution points by identifying an article of merchandise, determining a current stock status of the article of merchandise, determining one or more distribution points for the article of merchandise, and determining an allocation strategy to the one or more distribution points for the article of merchandise.

Claims

1. A system comprising:

an allocation table configured for use in a push-driven retail allocation business, the push-driven retail allocation business comprising a centrally organized headquarter office and a plurality of distribution points, wherein merchandise is procured by the centrally organized headquarter office and distributed under guidance of the centrally organized headquarter office to the plurality of distribution points;

an allocation engine processor logically coupled to the allocation table; and

an in-memory database logically coupled to the allocation engine processor;

wherein the allocation engine processor and in-memory database are operable to distribute the merchandise to the plurality of distribution points by identifying an article of merchandise, determining a current stock status of the article of merchandise, determining one or more distribution points for the article of merchandise, and determining an allocation strategy to the one or more distribution points for the article of merchandise.

2. The system of claim 1, wherein the allocation strategy uses one or more of merchandise master data, merchandise allocation parameters, current stock data of the article of merchandise, and sales data for the article of merchandise.

3. The system of claim 2, comprising a second database, the second database comprising the merchandise master data, merchandise allocation parameters, current stock data of the article of merchandise, and sales data for the article of merchandise;

wherein the second database is not an in-memory database.

4. The system of claim 3, wherein the allocation engine processor is operable to transfer a portion of the merchandise master data, merchandise allocation parameters, current stock data for the article of merchandise, and sales data for the article of merchandise from the second database to the in-memory database.

5. The system of claim 4, wherein the transfer of the portion of the merchandise master data, merchandise allocation parameters, current stock data for the article of merchandise, and sales data for the article of merchandise from the second database to the in-memory database is based on input from the centrally organized headquarter office.

6. The system of claim 1, wherein the allocation engine processor is operable to calculate key performance indicators (KPIs) and to use the KPIs in allocation calculations.

7. The system of claim 6, wherein the KPIs comprise current stock data for the article of merchandise and sales data for the article of merchandise.

8. The system of claim 1, wherein the allocation engine processor is operable to determine a logistical execution of the allocation of the article of merchandise to the plurality of distribution points.

9. The system of claim 1, wherein the allocation engine processor is operable to execute an online simulation relating to the allocation of the article of merchandise to the plurality of distribution points, a what-if analysis of the allocation of the article of merchandise to the plurality of distribution points, and a final execution of the allocation of the article of merchandise to the plurality of distribution points based on a best evaluated scenario.

10. The system of claim 9, wherein the allocation engine processor is operable to execute the online simulation, the what-if analysis, or the final execution based on changes to one or more of the article of merchandise, the current stock data for the article of merchandise, the distribution points for the article of merchandise, and the allocation strategy to the one or more distribution points for the article of merchandise.

11. The system of claim 1, wherein the allocation table comprises a software module and a data object.

12. The system of claim 11, wherein a structure and content of the allocation table comprises an identification of the article of merchandise, an identification of a vendor of the article of merchandise, an identification of one or more distribution points for the article of merchandise, data relating to plans to distribute the article of merchandise, data relating to coordinating the distribution of the article of merchandise, and data relating to monitoring the distribution of the article of merchandise.

13. The system of claim 1, wherein the allocation engine processor is operable to:

receive online input from a user; and

distribute the article of merchandise to the plurality of distribution points on a real time basis as a function of the online input from the user.

14. The system of claim 13, wherein the user is associated with the centrally organized headquarter office.

15. A computer readable medium comprising:

an allocation table configured for use in a push-driven retail allocation business, the push-driven retail allocation business comprising a centrally organized headquarter office and a plurality of distribution points, wherein merchandise is procured by the centrally organized headquarter office and distributed under guidance of the centrally organized headquarter office to the plurality of distribution points;

wherein the allocation table is logically coupled to an allocation engine processor;

wherein the allocation table is logically coupled to an in-memory database; and

wherein the computer readable medium comprises instructions to;

distribute the merchandise to the plurality of distribution points by identifying an article of merchandise, determining a current stock status of the article of merchandise, determining one or more distribution points for the article of merchandise, and determining an allocation strategy to the one or more distribution points for the article of merchandise.

16. The computer readable medium of claim 15,

wherein the allocation strategy uses one or more of merchandise master data, merchandise allocation parameters, current stock data of the article of merchandise, and sales data for the article of merchandise;

wherein the computer readable medium comprises a second database, the second database comprising the merchandise master data, merchandise allocation parameters, current stock data of the article of merchandise, and sales data for the article of merchandise, and wherein the second database is not an in-memory database;

wherein the computer readable medium comprises instructions to transfer a portion of the merchandise master data, merchandise allocation parameters, current stock data for the article of merchandise, and sales data for the article of merchandise from the second database to the in-memory database; and

wherein the transfer of the portion of the merchandise master data, merchandise allocation parameters, current stock data for the article of merchandise, and sales data for the article of merchandise from the second database to the in-memory database is based on input from the centrally organized headquarter office.

17. The computer readable medium of claim 15, comprising instructions to determine a logistical execution of the allocation of the article of merchandise to the plurality of distribution points.

18. The computer readable medium of claim 15, comprising instructions to execute an online simulation relating to the allocation of the article of merchandise to the plurality of distribution points, a what-if analysis of the allocation of the article of merchandise to the plurality of distribution points, and a final execution of the allocation of the article of merchandise to the plurality of distribution points based on a best evaluated scenario.

19. The computer readable medium of claim 18, comprising instructions to execute the online simulation, the what-if analysis, or the final execution based on changes to one or more of the article of merchandise, the current stock data for the article of merchandise, the distribution points for the article of merchandise, and the allocation strategy to the one or more distribution points for the article of merchandise.

20. The computer readable medium of claim 15, comprising instructions to receive online input from a user;

and distribute the article of merchandise to the plurality of distribution points on a real time basis as a function of the online input from the user.