Systems for determining customer interest in goods

• US 10,430,841 B1
• Filed: 04/12/2018
• Issued: 10/01/2019
• Est. Priority Date: 04/12/2018
• Status: Active Grant

• Current Assignee: Capital One Services LLC (Capital One Financial Corporation)
• Original Assignee: Capital One Services LLC (Capital One Financial Corporation)
• Inventors: Shah, Salik
• Primary Examiner(s): Haq, Naeem U
• Application Number:
  US15/951,816
• Publication Number:
  US 20190318395A1
• Time in Patent Office: 537 Days
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 30/0281 Customer communication at a business location, e.g. providing product or service information, consulting
• CPC Class Codes: G06Q 30/0629 for generating comparisons
• CPC Class Codes: G06Q 30/0639 Item locations
• CPC Class Codes: H04W 4/029 Location-based management or tracking services
• CPC Class Codes: H04W 4/35 for the management of goods or merchandise

Abstract

A system for determining customer interest in goods includes one or more memory devices storing instructions and one or more processors configured to execute the instructions. The processors are configured to receive customer location data from a smart device associated with a customer indicating the customer is within a retail venue of a retailer and to monitor, based on the customer location data, a current location of the customer within the retail venue. The processors are further configured to receive goods location data indicating locations of goods for sale within the retail venue and determine that the customer is interested in a particular good for sale within the retail venue based on the current customer location remaining in proximity to the location of the particular good for a predetermined period of time. The processors also conduct a search of pricing of the particular good at one or more other retailers and send a price comparison to the customer.

Claims

1. A system for determining customer interest in goods, comprising:

one or more memory devices storing instructions; and

one or more processors configured to execute the instructions to;

receive customer location data from a smart device associated with a customer indicating the customer is within a retail venue of a retailer;

monitor, based on the customer location data, a current location of the customer within the retail venue;

receive goods location data from a plurality of transmitter devices indicating locations of goods for sale within the retail venue;

monitor, based on the goods location data, a current location of the goods within the retail venue;

determine that the customer is interested in a particular good for sale within the retail venue based on one of the current customer location remaining in proximity to the current location of the particular good for a predetermined period of time, or a listing of the particular good within proximity to the customer on a customer account;

store each determination that the customer is interested in the particular good for sale within the retail venue;

generate a profile of shopping behavior of the customer based on the stored interest determinations;

conduct a search of pricing of the particular good at one or more other retailers;

send a price comparison to the customer for the particular good based on results of the price search; and

generate a model of the customer interest in a plurality of goods at the retail venues.

2. The system of claim 1, the one or more processors being further configured to:

receive location data of other customers within the retail venue;

determine interests of the other customers in goods at the retail venue;

store the interest determinations of the other customers; and

generate a profile of shopping behavior of each of the other customers.

3. The system of claim 2, the one or more processors being further configured to:

compile the generated shopping behavior profiles to generate a model of aggregate customer interest in a plurality of products at the retail venue.

4. The system of claim 1, the one or more processors being further configured to:

receive information indicating whether the customer purchases the particular good after receiving the price comparison.

5. The system of claim 4, wherein if the customer does not purchase the particular good after receiving the price comparison, the one or more processors are further configured to send to the customer smart device a discounted price for the good.

6. The system of claim 4, if the customer does not purchase the particular good after receiving the price comparison, the one or more processors are further configured to determine whether to adjust a price of the particular good.

7. The system of claim 1, the one or more processors being further configured to:

determine whether the customer decided to purchase the good based on the monitored location of the customer and the location of the good.

8. The system of claim 7, the one or more processors being further configured to:

generate a model that analyzes the customer shopping behavior profile and purchase determination.

9. The system of claim 8, the one or more processors being further configured to:

send, based on the model analysis, to the customer smart device a discounted price for the good.

10. The system of claim 9, the one or more processors being further configured to:

receive information indicating whether the customer purchases the particular good after receiving the discounted price; and

update the customer shopping behavior profile.

11. The system of claim 1, wherein the customer includes a plurality of customers and the retail venue includes a plurality of retail venues, the one or more processors being further configured to:

receive customer location data from smart devices associated with the plurality of customers at the plurality of retail venues;

monitor, based on the customer location data, a current location of the customer within the retail venues;

receive goods location data indicating locations of goods for sale in the retail venues;

monitor, based on the goods location data, a current location of the goods within the retail venues;

determine interests of the customers in the goods in the retail venues based on one of the locations of the customers remaining in proximity to the current locations of the goods in the retail venues for a predetermined period of time, or listings of the particular goods within proximity to the customers on the customer account;

store each determination that each of the customers is interested in a good for sale in one of the retail venues; and

generate a shopping behavior profile of each of the customers based on the stored interest determinations.

12. The system of claim 11, the one or more processors being further configured to:

compile the generated shopping behavior profiles for the customers to generate a model of aggregate customer interest in a plurality of goods at the retail venues.

13. The system of claim 12, wherein the plurality of retail venues are affiliated with a common business entity.

14. The system of claim 13, the one or more processors being further configured to determine whether each of the customers decides to purchase the goods based on the monitored locations of the customers and the locations of the goods.

15. The system of claim 14, wherein generating a model of aggregate customer interest includes receiving and analyzing the determined decisions to purchase the goods by the customers.

16. The system of claim 15, the one or more processors being further configured to receive information indicating whether the customers purchase the particular good after receiving the price comparison.

17. The system of claim 16, wherein if any one of the customers does not purchase the particular good after receiving the price comparison, the one or more processors are further configured to send to the smart device of the non-purchasing customer a discounted price for the good.

18. The system of claim 17, wherein the offered discounted price is adjusted based on the generated model analysis.

19. The system of claim 17, if any one of the customers does not purchase the particular good after receiving the price comparison, the one or more processors are further configured to determine whether to adjust the price of the particular good at the retail venue, or all affiliated retail venues.