Abstract: A merchant listing verification system to scan a publisher system of a set of publisher systems to identify a published merchant listing published by the publisher system, where the published merchant listing includes a first set of data fields and a first set of data field values associated with a merchant system. The merchant listing verification system compares, 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. 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 is identified.

Abstract: Systems and methods including receiving, from a merchant system associated with a merchant, a first set of weight values corresponding to websites configured to receive one or more reviews associated with the merchant, determining, based on the first set of weight values, a first set of target distribution values corresponding to the plurality of websites, providing, to a first user system, a first request to provide a first review of the merchant, the first request comprising a first link corresponding to a first website of the plurality of websites, receiving, via an application programming interface associated with the first website, information associated with the first request, providing information associated with the first request, receiving a first updated weight value corresponding to the first web site and a second updated weight value corresponding to a second website of the plurality of websites, identifying, by a container associated with a second request to provide a second review of the merchan

Abstract: A system and method to determine a sentiment score associated with a review element extracted from a first review posted by an end-user system to a first review platform of the plurality of review platforms, where the first review is associated with a merchant system. In view of a review response template associated with the merchant system, a first review response is generated, the first review response including a set of values corresponding to a set of response components, where a value of the set of values includes the review element. The first review response to the first review platform is distributed via a first application program interface associated with the first review platform. Feedback relating to the first review response is received. One or more terms of the review response template are adjusted in view of the feedback to generate an updated review response template.

Abstract: Implementations of the present disclosure provide techniques to optimize distribution to multiple websites of online reviews associated with a merchant system. The system and method include receiving, from a merchant system associated with a merchant, assignment of a weight value corresponding to each website of a plurality of websites configured to receive a review associated with a merchant. A distribution parameter associated with the plurality of websites is received from the merchant system. A request to provide a review of the merchant is provided to a user system, the request comprising a link. Receiving from the user system, an indication associated with the link. In response to receiving the indication, identifying, by a redirection container, a first website of the plurality of websites based on the weight value corresponding to each website of the plurality of websites and the distribution parameter.

Abstract: A system and method to identify a first data stream from a data graph associated with a merchant system. A configuration file associated with a publisher system to receive data associated with the merchant system is identified. Based on a configuration file associated with the publisher system, a second data stream is generated which includes the data associated with the merchant system. The second data stream is transmitted to the publisher system.

Abstract: A system and method to generate substantive and quality responses to end user reviews for publication via an online review platform. A review associated with a merchant system is identified, the review including multiple review elements. Extracting a set of key review elements from the multiple review elements. A sentiment score associated with a first key review element of the set of key review elements is determined. A review response is generated to include a set of values corresponding to a set of response components, wherein a first value of the set of values comprises the first key review element. The review response including the sentiment score associated with the first key review element is displayed.

Abstract: Implementations of the present disclosure provide techniques to optimize distribution to multiple websites of online reviews associated with a merchant system. The system and method include receiving, from a merchant system associated with a merchant, assignment of a weight value corresponding to each website of a plurality of websites configured to receive a review associated with a merchant. A distribution parameter associated with the plurality of websites is received from the merchant system. A request to provide a review of the merchant is provided to a user system, the request comprising a link. Receiving from the user system, an indication associated with the link. In response to receiving the indication, identifying, by a redirection container, a first website of the plurality of websites based on the weight value corresponding to each website of the plurality of websites and the distribution parameter.

Abstract: Implementations of the present disclosure provide techniques to optimize dynamic third party review generation for transmitting redirection request links. In one implementation, a system is provide that comprises a memory to store profile data for one or more merchants; and a processing device, operatively coupled to the memory, to receive an indication to generate an online review for a client device associated with a location of a merchant. Responsive to receiving the indication, one or more weighted event factors associated with the merchant are determined. One or more distribution parameters specified by a merchant system are selected based on the weighted event factors for the merchant. An online third party review site is identified based on the distribution parameters. Thereupon, the online third party site is caused to transmit a reviewing object to the client device for posting the online review of the location of the merchant.

Abstract: A system and method to generate substantive and quality responses to end user reviews for publication via an online review platform. A review associated with a merchant system is identified, the review including multiple review elements. Extracting a set of key review elements from the multiple review elements. A sentiment score associated with a first key review element of the set of key review elements is determined. A review response is generated to include a set of values corresponding to a set of response components, wherein a first value of the set of values comprises the first key review element. The review response including the sentiment score associated with the first key review element is displayed.

Abstract: Implementations of the present disclosure provide techniques to optimize dynamic third party review generation for transmitting redirection request links. In one implementation, a system is provide that comprises a memory to store profile data for one or more merchants; and a processing device, operatively coupled to the memory, to receive an indication to generate an online review for a client device associated with a location of a merchant. Responsive to receiving the indication, one or more weighted event factors associated with the merchant are determined. One or more distribution parameters specified by a merchant system are selected based on the weighted event factors for the merchant. An online third party review site is identified based on the distribution parameters. Thereupon, the online third party site is caused to transmit a reviewing object to the client device for posting the online review of the location of the merchant.