IP Library Granted Patent US 11,080,971
Granted Patent B2
US 11,080,971 · App. 16/071,396 · Granted Aug 3, 2021

Methods, systems, apparatus, and articles of manufacture to generate corrected projection data for stores

Inventors: Konstantin Korolev (Moscow, RU); Gáspár Tamás Péter (Budapest, HU)
Assignee: The Nielsen Company (US), LLC
G07G1/0009G06Q20/202
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 11,080,971
App. No.
16/071,396
Granted
Aug 3, 2021
Kind
B2
Abstract

Methods, systems, apparatus, and articles of manufacture to generate corrected projection data for stores of a retailer are disclosed. An example apparatus to reduce projection errors associated with retail register devices includes a receipt data analyzer to retrieve transaction code values associated with receipts generated by the retail register devices, identify a direction change in a first subset of the retrieved transaction code values, and verify a register reset occurrence based on values associated with a second subset of the retrieved transaction code values, and a projection calculator to reduce retail sales projection error by calculating a transaction count based on the retrieved receipts and transaction code values.

Claims (41)

1. An apparatus to reduce projection errors associated with retail register devices, the apparatus comprising:

a receipt data analyzer to:

retrieve transaction code values associated with receipts generated by the retail register devices;

determine a register reset occurrence based on a candidate pivot transaction code value by identifying a direction change in a first subset of the retrieved transaction code values; and

verify the register reset occurrence based on values associated with a second subset of the retrieved transaction code values; and

a projection calculator to:

group retrieved receipts and the retrieved transaction code values based on a geographical location associated with each of the retail register devices; and

reduce retail sales projection error by calculating a transaction count for the retail register devices based on the retrieved receipts and the retrieved transaction code values.

2. The apparatus as defined in claim 1 , wherein the receipt data analyzer is to identify the direction change based on detecting a monotonically increasing series of the retrieved transaction code values followed by the candidate pivot transaction code value, the candidate pivot transaction code value less than values associated with the first subset of the retrieved transaction code values.

3. The apparatus as defined in claim 2 , further including a receipt data cleanser to compare the candidate pivot transaction code value to a monotonic difference value.

4. The apparatus as defined in claim 3 , wherein the receipt data cleanser is to identify the candidate pivot transaction code value as an erroneous data point when the monotonic difference value is not satisfied.

5. The apparatus as defined in claim 1 , wherein the receipt data analyzer is to retrieve the second subset of the retrieved transaction code values temporally proximate to the first subset of the retrieved transaction code values.

6. The apparatus as defined in claim 1 , further including a receipt data cleanser to calculate a difference between (a) a transaction code value associated with the direction change and (b) a transaction code value associated with one of the transaction code values of the second subset.

7. The apparatus as defined in claim 6 , wherein the receipt data cleanser is to compare the difference to a monotonic threshold.

8. The apparatus as defined in claim 7 , wherein the receipt data cleanser is to verify the register reset occurrence when the monotonic threshold is satisfied.

9. A computer-implemented method to reduce projection error associated with retail register devices, the method comprising:

retrieving, by executing instructions with a processor, transaction code values associated with receipts generated by the retail register devices;

identifying, by executing instructions with the processor, a direction change in a first subset of the retrieved transaction code values to determine a register reset occurrence based on a candidate pivot transaction code value;

verifying, by executing instructions with the processor, the register reset occurrence based on values associated with a second subset of the retrieved transaction code values;

grouping, by executing instructions with the processor, retrieved receipts and the retrieved transaction code values based on a geographical location associated with each of the retail register devices; and

reducing, by executing instructions with the processor, retail sales projection error by calculating a transaction count for the retail register devices based on the retrieved receipts and the retrieved transaction code values.

10. The method as defined in claim 9 , further including identifying the direction change based on detecting a monotonically increasing series of the retrieved transaction code values followed by the candidate pivot transaction code value, the candidate pivot transaction code value less than values associated with the first subset of the retrieved transaction code values.

11. The method as defined in claim 10 , further including comparing the candidate pivot transaction code value to a monotonic difference value.

12. The method as defined in claim 11 , further including identifying the candidate pivot transaction code value as an erroneous data point when the monotonic difference value is not satisfied.

13. The method as defined in claim 9 , further including retrieving the second subset of the retrieved transaction code values temporally proximate to the first subset of the retrieved transaction code values.

14. The method as defined in claim 9 , further including calculating a difference between (a) a transaction code value associated with the direction change and (b) a transaction code value associated with one of the transaction code values of the second subset.

15. The method as defined in claim 14 , further including comparing the difference to a monotonic threshold.

16. The method as defined in claim 15 , further including verifying the register reset occurrence when the monotonic threshold is satisfied.

17. At least one non-transitory computer readable storage media comprising computer readable instructions that, when executed, cause one or more processors to, at least:

retrieve transaction code values associated with receipts generated by retail register devices;

identify a direction change in a first subset of the retrieved transaction code values to determine a register reset occurrence based on a candidate pivot transaction code value;

verify the register reset occurrence based on values associated with a second subset of the retrieved transaction code values;

group retrieved receipts and the retrieved transaction code values based on a geographical location associated with each of the retail register devices; and

reduce retail sales projection error by calculating a transaction count for the retail register devices based on the retrieved receipts and the retrieved transaction code values.

18. The at least one storage media as defined in claim 17 , wherein the computer readable instructions, when executed, cause the one or more processors to identify the direction change based on detecting a monotonically increasing series of the retrieved transaction code values followed by the candidate pivot transaction code value, the candidate pivot transaction code value less than values associated with the first subset of the retrieved transaction code values.

19. The at least one storage media as defined in claim 18 , wherein the computer readable instructions, when executed, cause the one or more processors to compare the candidate pivot transaction code value to a monotonic difference value.

20. The at least one storage media as defined in claim 19 , wherein the computer readable instructions, when executed, cause the one or more processors to identify the candidate pivot transaction code value as an erroneous data point when the monotonic difference value is not satisfied.

21. The at least one storage media as defined in claim 17 , wherein the computer readable instructions, when executed, cause the one or more processors to retrieve the second subset of the retrieved transaction code values temporally proximate to the first subset of the retrieved transaction code values.

22. The at least one storage media as defined in claim 17 , wherein the computer readable instructions, when executed, cause the one or more processors to calculate a difference between (a) a transaction code value associated with the direction change and (b) a transaction code value associated with one of the transaction code values of the second subset.

23. The at least one storage media as defined in claim 22 , wherein the computer readable instructions, when executed, cause the one or more processors to compare the difference to a monotonic threshold.

24. The at least one storage media as defined in claim 23 , wherein the computer readable instructions, when executed, cause the one or more processors to verify the register reset occurrence when the monotonic threshold is satisfied.

Assignments (8)
RELEASE (REEL 054066 / FRAME 0064) Recorded May 11, 2023
From: CITIBANK, N.A.
To: GRACENOTE, INC.; A. C. NIELSEN COMPANY, LLC; EXELATE, INC.; GRACENOTE MEDIA SERVICES, LLC; THE NIELSEN COMPANY (US), LLC; NETRATINGS, LLC
Reel/Frame 063605/0001 →
RELEASE (REEL 053473 / FRAME 0001) Recorded May 11, 2023
From: CITIBANK, N.A.
To: A. C. NIELSEN COMPANY, LLC; EXELATE, INC.; GRACENOTE, INC.; GRACENOTE MEDIA SERVICES, LLC; THE NIELSEN COMPANY (US), LLC; NETRATINGS, LLC
Reel/Frame 063603/0001 →
SECURITY INTEREST Recorded May 8, 2023
From: GRACENOTE DIGITAL VENTURES, LLC; GRACENOTE MEDIA SERVICES, LLC; GRACENOTE, INC.; TNC (US) HOLDINGS, INC.; THE NIELSEN COMPANY (US), LLC
To: ARES CAPITAL CORPORATION
Reel/Frame 063574/0632 →
SECURITY INTEREST Recorded Apr 28, 2023
From: GRACENOTE DIGITAL VENTURES, LLC; GRACENOTE MEDIA SERVICES, LLC; GRACENOTE, INC.; TNC (US) HOLDINGS, INC.; THE NIELSEN COMPANY (US), LLC
To: CITIBANK, N.A.
Reel/Frame 063561/0381 →
SECURITY AGREEMENT Recorded Jan 31, 2023
From: GRACENOTE DIGITAL VENTURES, LLC; GRACENOTE MEDIA SERVICES, LLC; GRACENOTE, INC.; TNC (US) HOLDINGS, INC.; THE NIELSEN COMPANY (US), LLC
To: BANK OF AMERICA, N.A.
Reel/Frame 063560/0547 →
CORRECTIVE ASSIGNMENT TO CORRECT THE PATENTS LISTED ON SCHEDULE 1 RECORDED ON 6-9-2020 PREVIOUSLY RECORDED ON REEL 053473 FRAME 0001. ASSIGNOR(S) HEREBY CONFIRMS THE SUPPLEMENTAL IP SECURITY AGREEMENT. Recorded Oct 7, 2020
From: A.C. NIELSEN (ARGENTINA) S.A.; A.C. NIELSEN COMPANY, LLC; ACN HOLDINGS INC.; ACNIELSEN CORPORATION; ACNIELSEN ERATINGS.COM; AFFINNOVA, INC.; ART HOLDING, L.L.C.; ATHENIAN LEASING CORPORATION; CZT/ACN TRADEMARKS, L.L.C.; EXELATE, INC.; GRACENOTE, INC.; GRACENOTE DIGITAL VENTURES, LLC; GRACENOTE MEDIA SERVICES, LLC; NETRATINGS, LLC; NIELSEN AUDIO, INC.; NIELSEN CONSUMER INSIGHTS, INC.; NIELSEN CONSUMER NEUROSCIENCE, INC.; NIELSEN FINANCE CO.; NIELSEN FINANCE LLC; NIELSEN INTERNATIONAL HOLDINGS, INC.; NIELSEN MOBILE, LLC; NMR INVESTING I, INC.; TCG DIVESTITURE INC.; TNC (US) HOLDINGS, INC.; THE NIELSEN COMPANY (US), LLC; VIZU CORPORATION; VNU MARKETING INFORMATION, INC.; NMR LICENSING ASSOCIATES, L.P.; NIELSEN HOLDING AND FINANCE B.V.; THE NIELSEN COMPANY B.V.; VNU INTERNATIONAL B.V.
To: CITIBANK, N.A
Reel/Frame 054066/0064 →
SUPPLEMENTAL SECURITY AGREEMENT Recorded Jun 9, 2020
From: A. C. NIELSEN COMPANY, LLC; ACN HOLDINGS INC.; ACNIELSEN CORPORATION; ACNIELSEN ERATINGS.COM; AFFINNOVA, INC.; ART HOLDING, L.L.C.; ATHENIAN LEASING CORPORATION; CZT/ACN TRADEMARKS, L.L.C.; EXELATE, INC.; GRACENOTE, INC.; GRACENOTE DIGITAL VENTURES, LLC; GRACENOTE MEDIA SERVICES, LLC; NETRATINGS, LLC; NIELSEN AUDIO, INC.; NIELSEN CONSUMER INSIGHTS, INC.; NIELSEN CONSUMER NEUROSCIENCE, INC.; NIELSEN FINANCE CO.; NIELSEN FINANCE LLC; NIELSEN INTERNATIONAL HOLDINGS, INC.; NIELSEN MOBILE, LLC; NIELSEN UK FINANCE I, LLC; NMR INVESTING I, INC.; TCG DIVESTITURE INC.; TNC (US) HOLDINGS, INC.; THE NIELSEN COMPANY (US), LLC; VIZU CORPORATION; VNU MARKETING INFORMATION, INC.; NMR LICENSING ASSOCIATES, L.P.; NIELSEN HOLDING AND FINANCE B.V.; THE NIELSEN COMPANY B.V.; VNU INTERNATIONAL B.V.
To: CITIBANK, N.A.
Reel/Frame 053473/0001 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 16, 2019
From: PÉTER, GÁSPÁR TAMÁS; KOROLEV, KONSTANTIN
To: THE NIELSEN COMPANY (US), LLC
Reel/Frame 049204/0691 →