Abstract: Various embodiments relate generally to computer science, software, and computer program and platform architectures, including receiving input data configured to identify one or more items, the input data being converted from a first data format to a second data format, parsing the input data in the second data format to extract event data associated with the one or more items, evaluating the event data to determine shipment data configured to identify a location, an account, and a first option associated with the one or more items, comparing the input data in the second data format to a threshold to determine a statistical probability associated with the one or more items, calling a data service to retrieve other data associated with the one or more items, and generating a retrieval option associated with other items if the statistical probability is greater than the threshold and the other data indicates the device is within a numerical range of a location at which the item is stored.

Abstract: The present disclosure describes systems and methods for automatically rolling-up data associated with one or more geographic units, such as ZIP+4 codes, such that the rollup comprises a minimum number of households to protect anonymity and ensure compliance with privacy regulations, while preserving variance of the underlying data associated with the geographic regions. Data attributes may include demographic data, socio-economic data, lifestyle segmentation, psychographic data, behavioral data, credit data, and other data. The rollup process may involve identifying one or more geographic units with a number of households below a minimum or threshold amount, applying filters to find candidate geographic units for rollup, scoring candidate geographic units to select best pairings for rollup, and repeating until the rollup group has at least the minimum number of households. The process may make trades off between granularity (e.g.

Abstract: The early adopters and potential influencers (EAPI) system, method and computer-readable medium provide a way to identify early adopters and potential influencers. The EAPI system obtains a list of purchases for customers of merchants and/or subscriptions from a transaction tracking system. The EAPI system creates a time-based transaction network, and using a scoring function, the EAPI system determines an early adopter and/or potential influencer ranking among customers in the network. The EAPI system may use one or more customer attributes to determine a customer's influence with respect to different dimensions.

Abstract: A method, medium, and system to receive actual flight schedule data, including flight details associated with each flight of the actual flight schedule; determine an estimate of at least one of airline operations performance constraints and metrics based on the actual flight schedule data and at least one of business rules and an execution of a simulation-based model; and generate a record of corrected actual flight data based on the estimate of at least one of airline operations performance constraints and metrics and the actual flight data.

Abstract: A method for underwriting a business loan. The method includes obtaining a collection of business records of existing business entities, where a business record includes a business entity profile, recorded incomes, and recorded expenses, generating, based on the business records, a model that correlates the business entity profile, the recorded incomes, and the recorded expenses, obtaining a business plan of a proposed business entity, where the business plan includes a proposed business entity profile, projected incomes, and projected expenses, and generating, by using at least the proposed business entity profile as an input to the model, a statistical measure of deviation of the projected incomes and the projected expenses with respect to the existing business entities.

Abstract: This disclosure includes systems for regression-tree-modified feature vector machine learning models for utilization prediction in time-expiring inventory. An online computing system receives a feature vector for a listing and inputs the feature vector and modified feature vectors into a demand function to generate demand estimates. The system inputs the demand estimates into a likelihood model to generate a set of request likelihoods, each request likelihood representing a likelihood that the time-expiring inventory will receive a transaction request at each of a set of test price and test times to expiration. The system further trains a regression tree model based on a set of training data comprising each of the request likelihoods from the set and the test price and test time period to expiration used to generate the demand estimate that was used to generate the request likelihood.

Abstract: The present disclosure describes a device and methods that provide a new communication channel between two disparate decision management systems. In various embodiments, the device retrieves business logic artifacts from a first decision management system, analyzes them and creates equivalent business logic artifacts that operate on the second decision management system, and transmits the equivalent business logic artifacts for execution by the second decision management system via an API of the second decision management system. In various implementations, the device analyzes top-down decision flow artifacts from the first decision management system and creates equivalent bottom-up rule flow artifacts that are usable by the second decision management system.

Abstract: A context-aware computing system for delivering surveys to a customer. The choice of which survey to send to a customer may be tailored based on a click path (route), customer history, and customer interests. A customer browsing a Web page initiates the survey decision process. A control module selects a survey to send to a customer based on the criteria above and customer intent. Customer responses are then harvested from the Web-based survey.

Abstract: A single code can be used only one time by each of multiple users. A user visits a merchant location and wants to sign up for a loyalty program. The merchant issues the user a one-time code, such as a QR code. The user connects to a loyalty program system to download the loyalty application. The user downloads the loyalty application and enters the code into the application. The user receives a “punch” for the loyalty program based on the code. The server operating on the loyalty program system verifies that the punch created is the first and only punch created by the one-time code. If the code has been previously used for the particular user, the server does not create an additional punch.

Abstract: Implementations of the present disclosure involve a system and/or method of displaying and reviewing prospective customers. The system and/or method may display a prospect map showing geographic areas, corresponding technical infrastructure, and prospects present in the areas. The prospect displayed may be adjusted based on user defined prospect attributes.

Abstract: A service chain visualization system graphically displays diverse supply chain information such as demand information, new buy information, defective returns information, out for repair information, good inventory information and bad inventory information. The display includes historical, present, and future supply chain information. In at least one embodiment, the system allows a user to change a supply chain attribute and observe the potential impact on other supply chain attributes. In at least one embodiment, the system graphically collectively displays results that are readily understandable by the user.

Abstract: A method and apparatus for providing an incentive to an officer to travel through a particular area is provide herein. During operation a device will provide an officer with a map of their patrol area. Along with the map, various roads and/or paths will have “breadcrumbs” shown on them. These breadcrumbs will be “picked up” (disappear) when an officer travels over them.

Abstract: The disclosure includes implementations for providing a recommendation to a driver of a second DSRC-equipped vehicle. The recommendation may describe an estimate of how long it would take the second DSRC-equipped vehicle to receive a roadside service from a drive-through business. A method according to some implementations may include receiving, by the second DSRC-equipped vehicle, a Dedicated Short Range Communication message (“DSRC message”) that includes path history data. The path history data may describe a path of a first DSRC-equipped vehicle over a plurality of different times while the first DSRC-equipped vehicle is located in a queue of the drive-through business. The method may include determining delay time data for the second DSRC-equipped vehicle based on the path history data for the first DSRC-equipped vehicle. The delay time data may describe the estimate. The method may include providing the recommendation to the driver. The recommendation may include the estimate.

Abstract: Computer-implemented systems and methods for the sale of consumer services. Predictions are made based on the behaviors, preferences, assets, identifying characteristics, and other attributes associated with customers and merchants. In one implementation, a prediction is made as to whether a customer is likely to request a service and whether a merchant is likely to be selected by the customer to provide the service. In another implementation, the calendars of a merchant and customer are automatically updated to account for the customer's late arrival to an appointment at the merchants location. In yet another implementation, a customer purchases an appointment for a service from another customer that has the appointment scheduled with a merchant providing the service.

Abstract: An e-commerce system is provided that tracks purchase transaction across multiple client devices. The e-commerce system stores hop information describing when a customer is exposed to a product of a vendor through an affiliate who advertises the vendor's products. The e-commerce system determines from the stored hop information which affiliate or affiliates to compensate for the sale of a product. This allows the e-commerce system to determine, after the sale, whether additional affiliates need to be compensated for the sale of the product based on the hop information.

Abstract: The present disclosure describes a device and methods that provide a new communication channel between two disparate decision management systems. In various embodiments, the device retrieves business logic artifacts from a first decision management system, analyzes them and creates equivalent business logic artifacts that operate on the second decision management system, and transmits the equivalent business logic artifacts for execution by the second decision management system via an API of the second decision management system. In various implementations, the device analyzes top-down decision flow artifacts from the first decision management system and creates equivalent bottom-up rule flow artifacts that are usable by the second decision management system.

Abstract: Methods and systems for calculating a current response rate to an offer are disclosed. Examples of offers include but are not limited to design options for a web page and scripts used by operators in a call center. An offer may be served multiple times to one or more users and the current response rate may be determined for a point in time. The method may comprise obtaining estimates of response rate in successive iterations of response rate estimation. Each estimate may be determined over a period of time ending at the point in time, and each estimate may be determined over a larger period of time than the previous estimate. A range of uncertainty may be defined by upper and lower bounds for the estimates of response rate, with at least the first estimate being within the range of uncertainty. Each estimate may be compared to one or both of the upper and lower bounds and the result of the comparison may be used in the selection of one of the estimates as the calculated current response rate.

Abstract: Contact recommendations based on purchase history are described. A system creates a directed graph of nodes in which at least some of the nodes are connected by directed arcs, wherein a directed arc from a first node to a second node represents a conditional probability that previous users who purchased a first contact also purchased a second contact. The system identifies a set of contacts purchased by a current user. The system estimates a prospective purchase probability based on a historical probability that previous users purchased a specific contact and a related probability that previous users who purchased the specific contact also purchased a contact in the set of contacts, for each candidate contact. The system outputs a recommendation for the current user to purchase a recommended candidate contact based on a corresponding prospective purchase probability.

Abstract: Examples of the disclosure are directed toward methods of providing a user interface for a job applicant self-assessment and computing an overall fit score between the applicant and a target job. An ideal job candidate may be specified by an employer on the basis of four categories: competencies, personality traits, motives, and experience levels. Then, an actual job applicant may interact with a user interface to perform a self-assessment on each of the four categories. A fit score may be determined between the applicant and the job for each of the four categories, and the four fit scores may be used to compute an overall fit score between the applicant and the job.

Abstract: A system implements a method of migrating users to target services including segmenting the users of the target services into macrosegments and micro segments within each macro segment. For each micro segment, rankings of the target services for the users in the micro segment are determined. The rankings are based on the combinations of the target services owned by the users in the micro segment product association, a sequence for acquiring the target services owned by the users in the micro segment, propensities to acquire the target services, and eligibility of the target services for the users in the micro segment. The target services are selected for migration based on the rankings.