Abstract: An on-demand transportation management system can receive transport requests from requesting users for an on-demand transportation service for a given region, each transport request indicating a pick-up location and a destination. The system can determine a candidate set of vehicles, within a proximity of the pick-up location, to service each transport request. The system may then determine an individual risk value for each vehicle in the candidate set of vehicles for servicing the transport request, based, at least in part, on the individual risk value for each vehicle of the candidate set of vehicles, the system can select a vehicle from the candidate set of vehicles to service the transport request.

Abstract: The invention relates to a method and system that implements an interactive supplier dashboard. A system comprises: a memory interface; an interactive user interface; and a supplier processor programmed to: receive, via the interactive user interface, a supplier identifier associated with a supplier; identify one or more sources of supplier data using the supplier identifier; aggregate data from the one or more sources of supplier data; pre-stage the aggregated data for the interactive supplier dashboard; and communicate, via the interactive supplier dashboard, the aggregated data for the supplier; wherein the interactive supplier dashboard comprises a plurality of segments of a circular graphical interface. The plurality of segments comprise spend segment; sourcing and procurement segment; risk and control segment; performance and health segment; hosted applications segment; channel compliance segment; relationship management segment; and third party oversight segment.

Abstract: A method for managing a current revision on prior revision of an order is described. A modified set of compensations tasks for addressing amendments indicated in the current revision are determined. The modified set of compensation tasks may be determined by carrying over one or more compensation tasks, associated with the prior revision, that have not yet been completed. Alternatively or additionally, the modified set of compensation tasks may be determined by adding new compensation tasks based on the current revision.

Abstract: Systems and methods are disclosed for certifying an equipment by connecting to a distributed ledger; capturing a physical location and a schematic location of the equipment; performing a test on the equipment; taking a picture of the equipment being tested; and certifying a test result and rendering the test results as immutable records on the distributed ledger.

Abstract: Systems and methods provide a customer engagement platform experimentation framework. Experiments are created to determine which variation of a particular promotion (i.e., an experiment) is most effective. Initially, users are split into buckets that define whether a particular user is in a control group or a treatment group for a particular experiment. Users are assigned into buckets differently for unrelated experiments and similarly for related experiments. This ensures the users are in either the control group or the treatment group for all related experiments. Key performance indicators (KPIs) of users that experienced the experiment are compared with KPIs of users that did not experience the experiment. An assessment of the experiment can then be provided based on the compared KPIs.

Abstract: A system and method for automatically or semi-automatically analyzing business processes including elements for or processes for: monitoring business activities as conducted by a user of a target software application by monitoring the computer screens viewed by the user and user-system interaction; using pattern matching to determine the semantic elements of each computer screen and action; using screen element identity relationships to compare screens and develop process flows based on a sequence of the computer screens and the user-system interaction; using process flow end-point comparisons to synthesize business process fragments from the process flows; and combining business process fragments to create a business process model.

Abstract: Methods and apparatuses are provided for use in managing product inventory, comprising: a control circuit; a memory storing instructions to cause the control circuit to perform: obtain a reference on-hand quantity value; determine an estimated on-hand adjustment value corresponding to a predicted error between the reference on-hand quantity value and a predicted actual on-hand value; receive a retail store supplied on-hand adjustment value; set an on-hand adjustment value to the retail store supplied on-hand adjustment value when the retail store supplied on-hand adjustment value is within an on-hand variation threshold; modify the estimated on-hand adjustment value as a function of a difference between the retail store supplied on-hand adjustment value and the estimated on-hand adjustment value when the retail store supplied on-hand adjustment value is not within the on-hand variation threshold, and set the on-hand adjustment value to the modified estimated on-hand adjustment value.

Abstract: An on-demand transportation management system can receive transport requests in connection with an on-demand transportation service, each transport request indicating a start location and a destination. The system can determine a set of candidate vehicles to service each transport request, and can further determine a non-trip risk value for servicing the transport request. The system may then select an optimal vehicle in the set of candidate vehicles based at least in part on the non-trip risk value.

Abstract: A device receives image data associated with an environment of an individual and identifies verifiable content by processing the image data. The device processes the verifiable content to determine a likelihood that the individual is an employee or agent of an organization and to determine a set of likelihoods of the environment being a work environment. The device determines, based on the likelihood and the set of likelihoods, a number of verifiable hours worked by the individual during a given time period. The device identifies wages data that specifies a number of hours worked that has been credited to the individual for the given time period, determines that an amount of wages paid to the individual is an incorrect amount of wages, and provides an alert to another device that indicates that the amount of wages paid to the individual is the incorrect amount of wages.

Abstract: A method includes receiving, at a user device, a plurality of signals pushed to the user device from a plurality of store devices located in a plurality of physical storefronts. Each signal includes a store identifier identifying the associated physical storefront. Store visit data is generated for each signal, the store visit data including the store identifiers and time data representing times associated with visits to the physical storefronts. Store visit data is aggregated for the plurality of signals pushed to the user device. Aggregated store visit data is transmitted to an analytics server configured to combine aggregated store visit data from a plurality of user devices and generate analytics data from the combined aggregated store visit data. At least a portion of the time data is removed from the aggregated store visit data before transmission to the analytics server.

Abstract: Systems, methods, and non-transitory computer-readable media can receive meeting scheduling information comprising meeting time information, participant information, and resource information. A scheduled meeting is created based on the meeting scheduling information. Participant location information is determined based on user location technology. The scheduled meeting is automatically initiated based on meeting initiation criteria, the meeting initiation criteria comprising participant location criteria.

Abstract: Systems and methods for generating an affinity graph are disclosed. According to one embodiment, a method may include (1) receiving customer data for a plurality of customers and merchant data for a plurality of merchants; (2) generating an initial customer table for each customer from the customer data; (3) generating an initial merchant table for each merchant from the merchant data; (4) receiving transaction data from a plurality of sources; (5) enhancing the initial customer tables and the initial merchant tables; (7) associating each customer and each merchant with at least one attribute based on the enhanced customer tables and the enhanced merchant tables; (8) determining an attribute score for each attribute; and (9) determining an affinity for one of the plurality of customers based on the attribute score for an attribute that is common to the one customer and another one of the plurality of customers.

Abstract: New account recommendations for user account sets are described. A system creates an accounts profile for a set of accounts based on multiple attributes associated with each account of the set of accounts. The system calculates an account score for an account based on comparing multiple attributes associated with the account against the accounts profile, wherein the account is not in the set of accounts. The system determines whether the account score satisfies an account score threshold. The system recommends the account to a user associated with the set of accounts if the account score satisfies the account score threshold.

Abstract: Bidirectional or multidirectional cascading goals allow goal progress to roll up or downstream multiple levels in an organization. This means that goals from be assigned by higher-level employees to lower-level employees and lower-level employees to higher-level employees. The progress of contributing goals directly modifies the progress of all upward goals to reflect accurate progress of the overarching goal. Goals can be standalone goals, or contribute to other goals. A connection between goals may be made during the goal creation process or after both goals have been created.

Abstract: A method and system for tracking an IT infrastructure is provided. The method includes modeling an IT infrastructure as a collection of hardware components, software components, and networking components. An observer agent is deployed on each of the components. The observer agent performs a measurement process with respect to each of the components and a mapping process is performed with respect to the measurement process. An aggregation module is deployed and an aggregation process is performed with respect to results of the mapping process. In response, a two dimensional moving graph indicating results of the aggregation process is generated and displayed.

Abstract: A system and method for developing and implementing a workforce virtualization program comprises six phases. A virtualization assessment and profiling process uses analytic methods to determine the feasibility of virtualizing some or all of an organization's workers. A mitigation assessment is conducted to identify cost-effective means of reducing barriers to virtualization. Scenario assessment and modeling phase allows an organization to develop an optimum virtualization scenario. A policy review and development phase allows an organization to develop virtualization policies, including business continuity plans. A virtualization implementation planning phase allows and organization to develop detailed plans for deployment of the virtualization scenario. A monitoring and refinement process allows an organization to track implementation of the deployment plans and modify as necessary.

Abstract: A method and apparatus for providing a credibility rating and management system. The credibility rating and management system can be shared amongst any number of independent systems. The credibility rating and management system collects data points from each of the participant systems, tracks user profiles across each of the participant systems and generates a rating for each user profile. Associated systems can then query the credibility rating and management system to obtain the credibility rating for a user and incorporate the credibility ratings into their own systems.

Abstract: Various techniques for performing contextual event scheduling with an event scheduling service are disclosed herein. In an example, data is processed at an event scheduling service, based on the use of a trained machine learning model that is specific to a user. This trained machine learning model is operated by the event scheduling service determine a proposed time and proposed scheduling parameters based on the contextual information, to identify a proposed event time and event scheduling parameters based on the model, the data indicating a user state, or external data. Further examples to evaluate user activity and identify schedule characteristics based on data inputs from a user's mobile computing device, wearable sensors, and external weather, traffic, or event data sources, are also disclosed.

Abstract: A production activity support system for supporting production activity in a component mounting system, comprises: a production information acquirer obtaining production information including a production plan of a production operation executed in the component mounting system and production performance information; a storage storing maintenance relevant information regarding execution history information indicating a history of the maintenance work executed on each of the maintenance targets; a maintenance work plan creation unit creating a work plan of the maintenance work executed on at the maintenance targets; and a display displaying a notification that the maintenance work indicated by the work plan created by the maintenance work plan creation unit is executed at the set maintenance execution date and time along with the production plan.

Abstract: In a maintenance work support system for supporting maintenance works in a component mounting system, a storage stores: priority table information defining a maintenance priority for classifying a priority level at which execution of the maintenance work is necessary, based on an association of the recommended maintenance deadline with a use time or a use count of each of the maintenance targets; and execution history information indicating history of the maintenance work executed on each of the maintenance targets. A maintenance work plan creation unit creates a work plan of the maintenance work, based on the maintenance priority calculated by a priority calculator, changed with date and time, based on the execution history information and the priority table information.