Distributed management service for an auto-identification system

• US 8,386,324 B2
• Filed: 12/30/2004
• Issued: 02/26/2013
• Est. Priority Date: 12/30/2004
• Status: Active Grant

• Current Assignee: SAP SE
• Original Assignee: SAP AG (SAP SE)
• Inventors: Lin, Tao
• Primary Examiner(s): Iwarere, Seye
• Application Number:
  US11/025,133
• Publication Number:
  US 20060149566A1
• Time in Patent Office: 2,980 Days
• Field of Search: 705/22, 705/28, 705/14, 705/1
• US Class Current: 705/22
• CPC Class Codes: G06Q 10/08 Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
• CPC Class Codes: G06Q 20/203 Inventory monitoring

Abstract

An auto-identification system is described that includes a plurality of distributed auto-id nodes that are operable to track physical objects as they move through an operation of an enterprise, such as, for example, a supply chain network or a sales network. The auto-id nodes are distributed across sites of the network, and are in communication with enterprise application systems and/or data acquisition systems such as RFID readers or sensor devices. By focusing on their respective sites, the auto-id nodes minimize the amount of data tracked by their respective enterprise applications. Further, a distributed management service may be in communication with all of the auto-id nodes, so as to distribute rules governing the operation of the enterprise to at least one of the auto-id nodes. The distributed management service may be used for, for example, generating and updating new rules, distributing the rules into the local auto-id nodes, and operating the rules for handling the data collected from different auto-id nodes.

Claims

1. A computer-implemented method comprising:

transmitting a query to auto-id nodes, each auto-id node being located at a site of an enterprise and including a tracking device that is operable to track events occurring to physical objects processed by the enterprise at the site, the query requesting past event data describing the events occurring to the physical objects at the respective sites within a specified past period of time;

receiving the requested event data from the auto-id nodes;

generating a rule set based on the requested event data, each rule, when invoked by a particular auto-id node, specifying actions to be taken by the enterprise in response to a particular condition or circumstance detected by the particular auto-id node while processing the physical objects at the site associated with the particular auto-id node;

classifying the auto-id nodes into an implementing subset of auto-id nodes and a non-implementing subset of the auto-id nodes, based on selection criteria;

distributing the rule set to the implementing subset of the auto-id nodes for invocation;

monitoring the implementing subset of the auto-id nodes for post-distribution event data describing the events occurring to the physical objects at the implementing subset of the auto-id nodes after the rule set is invoked by the implementing subset of the auto-id nodes;

comparing the post-distribution event data with the past event data;

determining that the actions taken by the enterprise while processing the physical objects at the sites associated with the implementing subset of the auto-id nodes were successful based on comparing the post-distribution event data with the past event data; and

distributing the validated rules to the non-implementing subset of the auto-id nodes when determining that the actions taken by the enterprise were successful.

2. The method of claim 1, wherein the past event data describes a quantity of units sold by the enterprise.

3. The method of claim 1, wherein the rule set comprises rules defining:

a price discount for a particular item,

a multi-item packaging arrangement,

a promotion time limit, and

a coupon requirement.

4. The method of claim 1, wherein the selection criteria are used to classify the auto-id nodes into select implementing subset of the auto-id nodes and the non-implementing subset of the auto-id nodes based on past success of the implementing subset with respect to a particular item or a particular brand of item.

5. The method of claim 1, wherein:

the rule set is distributed to the implementing subset of the auto-id nodes only,

the event data is received from the implementing subset of the auto-id nodes only,

the selection criteria are used to automatically classify the auto-id nodes into select the implementing subset of the auto-id nodes and the non-implementing subset of the auto-id nodes based on the event data being received from the implementing subset of the auto-id nodes only, and

the implementing subset of the auto-id nodes comprises fewer than all of the auto-id nodes.

6. The method of claim 1, wherein the selection criteria comprise:

a type of item being sold, a price of the item, a population demographic describing purchasers of the item, or a demographic of general purchasers of a particular retail store.

7. The method of claim 1, further comprising iteratively determining whether the rule set distributed to the non-implementing subset of the auto-id nodes remains valid.

8. A computer-readable medium encoded with a computer program comprising instructions that, when executed, operate to cause a computer to perform operations comprising:

transmitting a query to auto-id nodes, each auto-id node being located at a site of an enterprise and including a tracking device that is operable to track events occurring to physical objects processed by the enterprise at the site, the query requesting past event data describing the events occurring to the physical objects at the respective sites within a specified past period of time;

receiving the requested event data from the auto-id nodes;

generating a rule set based on the requested event data, each rule, when invoked by a particular auto-id node, specifying actions to be taken by the enterprise in response to a particular condition or circumstance detected by the particular auto-id node while processing the physical objects at the site associated with the particular auto-id node;

classifying the auto-id nodes into an implementing subset of auto-id nodes and a non-implementing subset of the auto-id nodes, based on selection criteria;

distributing the rule set to the implementing subset of the auto-id nodes for invocation;

monitoring the implementing subset of the auto-id nodes for post-distribution event data describing the events occurring to the physical objects at the implementing subset of the auto-id nodes after the rule set is invoked by the implementing subset of the auto-id nodes;

comparing the post-distribution event data with the past event data;

determining that the actions taken by the enterprise while processing the physical objects at the sites associated with the implementing subset of the auto-id nodes were successful based on comparing the post-distribution event data with the past event data; and

distributing the validated rules to the non-implementing subset of the auto-id nodes when determining that the actions taken by the enterprise were successful.

9. The computer-readable medium of claim 8, wherein the event data describes a quantity of units sold by the enterprise.

10. The computer-readable medium of claim 8, wherein the rule set comprises rules defining:

a price discount for a particular item,

a multi-item packaging arrangement,

a promotion time limit, and

a coupon requirement.

11. The computer-readable medium of claim 8, wherein the selection criteria are used to classify the auto-id nodes into select implementing subset of the auto-id nodes and the non-implementing subset of the auto-id nodes based on past success of the implementing subset with respect to a particular item or a particular brand of item.

12. The computer-readable medium of claim 8, wherein:

the rule set is distributed to the implementing subset of the auto-id nodes only,

the event data is received from the implementing subset of the auto-id nodes only,

the selection criteria are used to automatically classify the auto-id nodes into the implementing subset of the auto-id nodes and the non-implementing subset of the auto-id nodes based on the event data being received from the implementing subset of the auto-id nodes only, and

the implementing subset of the auto-id nodes comprises fewer than all of the auto-id nodes.

13. The computer-readable medium of claim 8,

wherein the operations further comprise iteratively determining whether the rule set distributed to the non-implementing subset of the auto-id nodes remains valid.

14. The computer-readable medium of claim 8, wherein the selection criteria comprise:

a type of item being sold, a price of the item, a population demographic describing purchasers of the item, or a demographic of general purchasers of a particular retail store.

15. A system comprising:

one or more computers; and

a computer-readable medium coupled to the one or more computers having instructions stored thereon which, when executed by the one or more computers, cause the one or more computers to perform operations comprising;

transmitting a query to auto-id nodes, each auto-id node being located at a site of an enterprise and including a tracking device that is operable to track events occurring to physical objects processed by the enterprise at the site, the query requesting past event data describing the events occurring to the physical objects at the respective sites within a specified past period of time,

receiving the requested event data from the auto-id nodes,

generating a rule set based on the requested event data, each rule, when invoked by a particular auto-id node, specifying actions to be taken by the enterprise in response to a particular condition or circumstance detected by the particular auto-id node while processing the physical objects at the site associated with the particular auto-id node,

classifying the auto-id nodes into an implementing subset of auto-id nodes and a non-implementing subset of the auto-id nodes, based on selection criteria,

distributing the rule set to the implementing subset of the auto-id nodes for invocation,

monitoring the implementing subset of the auto-id nodes for post-distribution event data describing the events occurring to the physical objects at the implementing subset of the auto-id nodes after the rule set is invoked by the implementing subset of the auto-id nodes,

comparing the post-distribution event data with the past event data,

determining that the actions taken by the enterprise while processing the physical objects at the sites associated with the implementing subset of the auto-id nodes were successful based on comparing the post-distribution event data with the past event data, and

distributing the validated rules to the non-implementing subset of the auto-id nodes when determining that the actions taken by the enterprise were successful.

16. The system of claim 15, wherein the event data describes a quantity of units sold by the enterprise.

17. The system of claim 15, wherein the rule set comprises rules defining:

a price discount for a particular item,

a multi-item packaging arrangement,

a promotion time limit, and

a coupon requirement.

18. The system of claim 15, wherein the selection criteria are used to classify the auto-id nodes into select implementing subset of the auto-id nodes and the non-implementing subset of the auto-id nodes based on past success of the implementing subset with respect to a particular item or a particular brand of item.

19. The system of claim 15, wherein:

the rule set is distributed to the implementing subset of the auto-id nodes only,

the event data is received from the implementing subset of the auto-id nodes only,

the selection criteria are used to automatically classify the auto-id nodes into the implementing subset of the auto-id nodes and the non-implementing subset of the auto-id nodes based on the event data being received from the implementing subset of the auto-id nodes only, and

the implementing subset of the auto-id nodes comprises fewer than all of the auto-id nodes.

20. The system of claim 15, wherein the operations further comprise iteratively determining whether the rule set distributed to the non-implementing subset of the auto-id nodes remains valid.

21. The system of claim 15, wherein the selection criteria comprise:

a type of item being sold, a price of the item, a population demographic describing purchasers of the item, or a demographic of general purchasers of a particular retail store.