Abstract:
A gratuity analytics computing system, for generating gratuity analytics for a plurality of transactions of a customer at a service provider within a date range, is in communication with an electronic device of the service provider over an electronic network. The system includes a gratuity analytics computing device, a database including a memory in operable electronic communication with the gratuity analytics computing device, and a processor configured to: receive transaction data for the plurality of customer transactions occurring within the date range, match a plurality of authorization messages with a respective plurality of clearing messages, generate gratuity analytics for the plurality of customer transactions over the date range based on average tip data from the customer, and calculate a customer satisfaction score for one customer transaction of the plurality of customer transactions based on the generated gratuity analytics.
Abstract:
A gratuity analytics computing system, for generating gratuity analytics for a plurality of transactions of a customer at a service provider within a date range, is in communication with an electronic device of the service provider over an electronic network. The system includes a gratuity analytics computing device, a database including a memory in operable electronic communication with the gratuity analytics computing device, and a processor configured to: receive transaction data for the plurality of customer transactions occurring within the date range, match a plurality of authorization messages with a respective plurality of clearing messages, generate gratuity analytics for the plurality of customer transactions over the date range based on average tip data from the customer, and calculate a customer satisfaction score for one customer transaction of the plurality of customer transactions based on the generated gratuity analytics.
Abstract:
A method for providing a confidence score for a seller in an online marketplace includes: storing account profiles, each including one or more unique account identifiers for one or more online marketplaces; storing activity data entries, each including data for transactional activity in an online marketplace including a marketplace identifier, two or more transacting account identifiers, and activity data; receiving a confidence request that includes a specific account identifier and marketplace identifier; identifying a specific account profile that includes the specific account identifier; identifying a set of activity data entries where a transacting account identifier matches a unique account identifier in the specific account profile; determining a confidence score for the specific account profile based on the activity data included in the identified set of activity data entries; and transmitting the confidence score in response to the received confidence request.
Abstract:
Systems and methods for pairing a mobile app with a point-of-sale system and recording an availability of units from a retail package are described.
Abstract:
A scoring engine computing device for generating personalized lending scores is provided. The scoring engine computing device receives a request including a cardholder identifier associated with a candidate cardholder, determines demographic data associated with the candidate cardholder, and retrieves transaction data for a plurality of cardholders including the candidate cardholder and a set of peer cardholders. Each cardholder of the set of peer cardholders is associated with the determined demographic data of the candidate cardholder, and the transaction data is associated with transactions for a plurality of spending categories. The scoring engine computing device further normalizes the transaction data associated with the candidate cardholder by category, generates a personalized lending score associated with the candidate cardholder that indicates a spending trend of the candidate cardholder, and transmits the personalized lending score to a requestor computing device.
Abstract:
A computer-based method for reporting capacity for a merchant is provided. The method is implemented using a capacity monitoring (CM) computing device, and includes receiving merchant data for a merchant via a merchant computing device and payment transaction data for a transaction performed at the merchant via a point-of-sale (POS) computing device, wherein merchant data includes an average consumer count and a total occupancy count. The method also includes calculating a peak transaction count for the merchant for a predetermined time period and a current transaction count corresponding to a current transaction time included within the predetermined time period. The method also includes determining a capacity count for the predetermined time period based on the peak transaction count, the current transaction count, and average consumer count, and transmitting the capacity count to a consumer computing device, wherein the capacity count indicates a remaining consumer capacity for the merchant.
Abstract:
Systems and methods for pairing a mobile app with a point-of-sale system and recording an availability of units from a retail package are described.
Abstract:
Systems and methods herein are related to augmented reality (AR) experiences in connection with items offered by entities. One exemplary method includes receiving, at a computing device, an AR search request from a user where the AR search request includes a search criteria and a location. The computing device then searches in a memory for at least one entity consistent with the search criteria and the location. In turn, the computing device returns an AR search response to the user, at an application of a communication device associated with the user. The AR search response includes an AR quotient indicative of a level of an AR experience at the at least one entity, thereby permitting the user to identify the level of the AR experience at the at least one entity prior to deciding to visit the at least one entity.
Abstract:
A dispatcher command center for dynamic ambulance deployment based on population density is described herein. The dispatcher command center is configured to display a street map of a coverage area, the street map including a first representation of a likely population density within the coverage area, and display an ambulance location of a plurality of ambulances. The dispatcher command center is also configured to receive, in real-time, a data signal including transaction data associated with a transaction. The transaction data includes a transaction location and transaction time and represents an activity executed by a person within the coverage area. The dispatcher command center is further configured to display a second representation of the transaction at a location on the street map corresponding to the transaction location, and deploy at least one of the plurality of ambulances in response to the displayed second representation, thereby updating at least one ambulance location.
Abstract:
A computer-implemented method for processing transaction messages using a social network platform between a requestor and a responder is provided. The method includes receiving a social network message including an item request and a predefined hashtagged identifier. The method further includes transmitting the social network message to one or more registered providers. The method also includes receiving a confirmation from a first registered provider of the one or more registered providers that the first registered provider will provide the requested item. The method further includes transmitting payment information for the item request to a payment processor. The method also includes transmitting a notification to the first registered provider to provide the requested item.