MERCHANT LISTING VERIFICATION SYSTEM

1 . A method comprising:

scanning, by a processing device, a publisher system of a set of publisher systems to identify a published merchant listing associated with the publisher system, wherein the published merchant listing comprises a first set of data fields and a first set of data field values associated with a merchant system;

comparing, on a field-by-field basis, the published merchant system to a target merchant listing comprising a second set of data fields and a second set of data field values associated with the merchant system; and

identifying, based on the comparing, a discrepancy between a first data value of a first data field of the first set of data fields of the published merchant listing and a second data value of a second data field of the second set of data fields of the target merchant listing.

2 . The method of claim 1 , further comprising causing generation of a graphical user interface comprising an indication of the discrepancy.

3 . The method of claim 1 , wherein the comparing is performed according to a set of comparison rules.

4 . The method of claim 3 , wherein the set of comparison rules comprises a first rule associated with a first field type of the target merchant listing and a second field type of the target merchant listing.

5 . The method of claim 4 , further comprising identifying the first data field of the first set of data fields of the published merchant listing is the first field type.

6 . The method of claim 5 , wherein the first data field of the published merchant listing is compared to the second data field of the target merchant listing in accordance with the first rule.

7 . The method of claim 1 , wherein the comparing is performed according to a machine learning process.

8 . A system comprising:

a memory to store instructions; and

a processing device, operatively coupled to the memory, to execute the instructions to perform operations comprising:

scanning, by a processing device, a publisher system of a set of publisher systems to identify a published merchant listing associated with the publisher system, wherein the published merchant listing comprises a first set of data fields and a first set of data field values associated with a merchant system;

comparing, on a field-by-field basis, the published merchant system to a target merchant listing comprising a second set of data fields and a second set of data field values associated with the merchant system; and

identifying, based on the comparing, a discrepancy between a first data value of a first data field of the first set of data fields of the published merchant listing and a second data value of a second data field of the second set of data fields of the target merchant listing.

9 . The system of claim 8 , the operations further comprising causing generation of a graphical user interface comprising an indication of the discrepancy.

10 . The system of claim 8 , wherein the comparing is performed according to a set of comparison rules.

11 . The system of claim 10 , wherein the set of comparison rules comprises a first rule associated with a first field type of the target merchant listing and a second field type of the target merchant listing.

12 . The system of claim 11 , further comprising identifying the first data field of the first set of data fields of the published merchant listing is the first field type.

13 . The system of claim 12 , wherein the first data field of the published merchant listing is compared to the second data field of the target merchant listing in accordance with the first rule.

14 . The system of claim 8 , wherein the comparing is performed according to a machine learning process.

15 . A non-transitory computer readable storage medium comprising instructions that, when executed by a processing device of a source system, cause the processing device to perform operations comprising:

scanning, by a processing device, a publisher system of a set of publisher systems to identify a published merchant listing associated with the publisher system, wherein the published merchant listing comprises a first set of data fields and a first set of data field values associated with a merchant system;

comparing, on a field-by-field basis, the published merchant system to a target merchant listing comprising a second set of data fields and a second set of data field values associated with the merchant system; and

identifying, based on the comparing, a discrepancy between a first data value of a first data field of the first set of data fields of the published merchant listing and a second data value of a second data field of the second set of data fields of the target merchant listing.

16 . The non-transitory computer readable storage medium of claim 15 , the operations further comprising causing generation of a graphical user interface comprising an indication of the discrepancy.

17 . The non-transitory computer readable storage medium of claim 15 , wherein the comparing is performed according to a set of comparison rules comprising a first rule associated with a first field type of the target merchant listing and a second field type of the target merchant listing.

18 . The non-transitory computer readable storage medium of claim 17 , the operations further comprising identifying the first data field of the first set of data fields of the published merchant listing is the first field type.

19 . The non-transitory computer readable storage medium of claim 18 , wherein the first data field of the published merchant listing is compared to the second data field of the target merchant listing in accordance with the first rule.

20 . The non-transitory computer readable storage medium of claim 15 , wherein the comparing is performed according to a machine learning process.