Online Data And In-Store Data Analytical System

• US 20130041837A1
• Filed: 08/10/2012
• Published: 02/14/2013
• Est. Priority Date: 08/12/2011
• Status: Abandoned Application

• Current Assignee: Accenture Global Services Limited (Accenture PLC)
• Original Assignee: Accenture Global Services Limited (Accenture PLC)
• Inventors: Dempski, Kelly L., Landry, Brian M.
• Application Number:
  US13/572,363
• Publication Number:
  US 20130041837A1
• Time in Patent Office: Days
• US Class Current: 705/345
• CPC Class Codes: G06Q 10/101 Collaborative creation, e.g. joint development of products or services
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 30/0251 Targeted advertisements

Abstract

An online data and in-store data analytical system and method provide a customer or store sales person sales with an output to improve the customer'"'"'s in-store experience. The system identifies relevant customer information from both the customer'"'"'s online data and in-store activity. The online data and in-store data analytical system uses the identified customer data to generate a customer profile, which includes several customer attributes, and also generate an output to the customer, a selected store sales person, or both. The generated output can suggest potential products for the customer to consider or potential discounts, enhancing the customer'"'"'s in-store sales experience. The generated output may also include product feedback information originating from a social connection of the customer, a person similar to the customer, or others.

Claims

1. A system comprising:

a processor;

a memory; and

analysis logic stored on the memory, that, when executed by the processor, is operable to;

receive customer online data;

receive customer in-store data indicative of a customer'"'"'s in-store activity;

determine a receiving party;

generate an output based on the customer online data, the customer in-store data, and the receiving party; and

transmit the generated output to the receiving party.

2. The system of claim 1, where the customer in-store data comprises position data attributable to the customer, where the position data comprises a walking path of the customer in a store.

3. The system of claim 1, where the customer in-store data comprises scanning data attributable to the customer, where the scanning data comprises data related to an in-store product scanned by the customer.

4. The system of claim 1, where the analysis logic is further operable, in preparation of generating an output, to:

determine the purchase intent of the customer based on the customer in-store data, where the purchase intent is indicative of customer interest in a type of product or service or a brand of product or service.

5. The system of claim 4, where the determination of purchase intent is further based on the customer online data.

6. The system of claim 1, where the analysis logic is further operable, in preparation of generating an output, to:

generate a customer profile based on the customer online data, where the customer profile indicates one or more factors affecting a customer'"'"'s potential purchase activity.

7. The system of claim 6, where the customer profile comprises any combination of:

an influence attribute, where the influence attribute indicates influence on other people attributable to the customer;

a store online history attribute, where the store online history attribute indicates store activity stored online attributable to the customer;

an affluence attribute, where the affluence attribute indicates potential purchasing ability of the customer;

an interests attribute, where the interests attribute indicates interests and preferences of the customer;

a relationship attribute, where the relationship attribute indicates the effect relationships attributable to the customer has on purchase activity of the customer; and

a background attribute, where the background attributes indicates background information attributable to the customer.

8. The system of claim 1, where determining a receiving party comprises determining whether to send a communication to a customer or to a sales person.

9. The system of claim 8, where, when the determined receiving party is a sales person, the analysis logic is further operable to:

select a particular sales person from a plurality of sales persons.

10. The system of claim 8, where, when the determined receiving party is the sales person, the generated output comprises:

data attributable to a customer; and

one or more suggested store products.

11. The system of claim 1, where the generated output comprises feedback information with respect to an in-store product, the feedback information originating from a social connection of the customer.

12. The system of claim 1, where the generated output comprises feedback information with respect to an in-store product, the feedback information originating from a reviewer meeting a similarity criteria with respect to the customer.

13. The system of claim 1, where the analysis logic is further operable to:

categorize the customer into a customer segment according to the customer online data, customer in-store data, or both;

determine, based on the customer segment, a selected product image, a selected product description, or both; and

where the generated output comprises the selected product image, the selected product description, or both.

14. A method comprising:

receiving customer online data;

receiving customer in-store data indicative of a customer'"'"'s in-store activity;

determining, using a processor, an output device associated with a receiving party;

generating an output based on the customer online data, the customer in-store data, and the receiving party; and

transmitting the generated output to the determined output device associated with the receiving party.

15. The method of claim 14, where receiving customer in-store data comprises receiving position data attributable to the customer, where the position data comprises a walking path of the customer in a store.

16. The method of claim 14, where receiving customer in-store data comprises receiving scanning data attributable to the customer, where the scanning data comprises data related to an in-store product scanned by the customer.

17. The method of claim 14, further comprising:

determining the purchase intent of the customer based on the customer in-store data, where the purchase intent is indicative of customer interest in a type of product or service or a brand of product or service.

18. The system of claim 14, where determining the purchase intent is further based on the customer online data.

19. The method of claim 14, further comprising:

generating a customer profile based on the customer online data, where the customer profile indicates one or more factors affecting a customer'"'"'s potential purchase activity.

20. The method of claim 19, where generating the customer profile comprises determining any combination of:

an influence attribute, where the influence attribute indicates influence on other people attributable to the customer;

a store online history attribute, where the store online history attribute indicates store activity stored online attributable to the customer;

an affluence attribute, where the affluence attribute indicates potential purchasing ability of the customer;

an interests attribute, where the interests attribute indicates interests and preferences of the customer;

a relationship attribute, where the relationship attribute indicates the effect relationships attributable to the customer has on purchase activity of the customer;

a background attribute, where the background attributes indicates background information attributable to the customer;

or any combination thereof.

21. The method of claim 14, where determining a receiving party comprises determining whether to send a communication to a customer or to a sales person.

22. The method of claim 21, further comprising, when the determined receiving party is a sales person:

selecting a particular sales person from a plurality of sales persons.

23. The method of claim 21, when the determined receiving party is the sales person, the generated output comprises:

data attributable to a customer; and

one or more suggested store products.

24. The method of claim 14, where generating an output comprises generating feedback information with respect to an in-store product originating from a social connection of the customer.

25. The method of claim 14, where generating an output comprises generating feedback information with respect to an in-store product originating from a person meeting a similarity criteria with respect to the customer.

26. The method of claim 14, further comprising:

categorizing the customer into a customer segment according to the customer online data, customer in-store data, or both;

determining, based on the customer segment, a selected product image, a selected product description, or both; and

where generating an output comprises generating a customized product image with respect to the customer, a customized product description with respect to the customer, or both.

27. A product comprising:

a computer readable medium storing processor executable instructions, that when executed by a processor, cause the processor to;

receive customer online data;

receive customer in-store data indicative of a customer'"'"'s in-store activity;

determine a receiving party;

generate an output based on the customer online data, the customer in-store data, and the receiving party; and

transmit the generated output to the receiving party.

28. The product of claim 27, where the customer in-store data comprises position data attributable to the customer, where the position data comprises a walking path of the customer in a store.

29. The product of claim 27, where the customer in-store data comprises scanning data attributable to the customer, where the scanning data comprises data related to an in-store product scanned by the customer.

30. The product of claim 27, where the processor executable instructions further cause the processor to:

determine the purchase intent of the customer based on the customer in-store data, where the purchase intent is indicative of customer interest in a type of product or service or a brand of product or service.

31. The product of claim 30, where the determination of purchase intent is further based on the customer online data.

32. The product of claim 27, where the processor executable instructions further cause the processor to:

generate a customer profile based on the customer online data, where the customer profile indicates one or more factors affecting a customer'"'"'s potential purchase activity.

33. The product of claim 32, where the customer profile comprises any combination of:

an influence attribute, where the influence attribute indicates influence on other people attributable to the customer;

a store online history attribute, where the store online history attribute indicates store activity stored online attributable to the customer;

an affluence attribute, where the affluence attribute indicates potential purchasing ability of the customer;

an interests attribute, where the interests attribute indicates interests and preferences of the customer;

a relationship attribute, where the relationship attribute indicates the effect relationships attributable to the customer has on purchase activity of the customer; and

a background attribute, where the background attributes indicates background information attributable to the customer.

34. The product of claim 27, where the processor executable instructions cause the processor to determine a receiving party by determining whether to send a communication to a customer or to a sales person.

35. The product of claim 34, where, when the determined receiving party is a sales person, the processor executable instructions cause the processor to:

select a particular sales person from a plurality of sales persons.

36. The product of claim 34, where, when the determined receiving party is the sales person, the generated output comprises:

data attributable to a customer; and

one or more suggested store products.

37. The product of claim 27, where the generated output comprises feedback information with respect to an in-store product originating from a social connection of the customer.

38. The product of claim 27, where the generated output comprises feedback information with respect to an in-store product originating from a person meeting a similarity criteria with respect to the customer.

39. The product of claim 27, where the processor executable instructions further cause the processor to:

categorize the customer into a customer segment according to the customer online data, customer in-store data, or both;

determine, based on the customer segment, a selected product image, a selected product description, or both; and

where the generated output comprises the selected product image, the selected product description, or both.