Abstract: Techniques for an expertise score vector for software component management are described herein. An aspect includes determining a size and an amount of time corresponding to committed code contributed by a first developer to a first software component. Another aspect includes determining a time per unit of contribution based on the size and amount of time. Another aspect includes updating component mastery metrics corresponding to the first software component in an expertise score vector corresponding to the first developer based on the time per unit of contribution. Another aspect includes assigning the first developer to a developer tier based on the component mastery metrics. Another aspect includes assigning a work item corresponding to the first software component to the first developer based on the developer tier.

Abstract: Systems and methods are disclosed for meeting completion. In one implementation, a message generated in relation to a meeting is received. The message is processed to identify a first action item and a first user associated with the first action item. The first action item is assigned to the first user. Performance of the first action item by the first user is tracked. The performance of the first action item by the first user is presented within an action tracking interface.

Abstract: Disclosed herein are systems and methods of individual level learning that include receiving purchase event data from a merchant device that indicates that a purchase event occurred by a user on a user device, and transmitting the purchase event data to an analytics server. The methods may also include processing the purchase event data. The processing may include calculating a time gap for each of two sequential purchase events in a list of purchase events, and calculating an average duration of consecutive events by averaging all of the purchase events in the list of purchase events. The method may determine a purchase hazard probability that a purchase event will occur on a given day, when the average duration of consecutive events is larger than a standard deviation of the event occurring. When the purchase hazard probability is above a threshold, the system may push a message to the user device.

Abstract: Systems and methods for providing AI-based relocation cost estimates for services and products are disclosed. The method may comprise receiving description data of a location, the description data generated via at least one or more of a camera, a user interface, and/or one or more environment sensors. The method may generate an inventory list comprising a plurality of items, utilizing the machine learning model, based on the description data, the inventory list further comprising inventory attributes associated with the plurality of items related to a context of the plurality of items in the location. The method may generate, utilizing the machine learning models, one or more interactive quotes for relocation cost estimates comprising at least one or more offers for products and/or services based on the plurality of items in the inventory list and the inventory attributes.

Abstract: An electronic device is provided. The electronic device includes a housing, a user interface, a battery positioned inside the housing, a driving unit disposed at the housing or connected to the housing to move the housing, at least one sensor positioned at the housing or inside the housing, a wireless communication circuit positioned inside the housing, a processor operatively connected to the user interface, the driving unit, the at least one sensor, and the wireless communication circuit, and a memory operatively connected to the processor. The processor determines one sequence performed by connecting or merging the first task and the second task, based at least partly on at least one of a type, execution target, execution time, or execution location of the first task and at least one of a type, execution target, execution time, or execution location of the second task.

Abstract: A system to provide an automated risk relationship resource allocation tool via back-end application computer server of an enterprise. A resource allocation data store may contain electronic records representing requested resource allocations between the enterprise and a plurality of entities. The server may receive an indication of a selected requested resource allocation and retrieve, from the resource allocation data store, the electronic record associated with the selected requested resource allocation. The server may execute a machine learning algorithm to generate an overall score for the selected requested resource allocation and generate a request health index via an analytic model for the entity associated with the selected requested resource allocation. The system may then support a graphical interactive user interface display via a distributed communication network, the interactive user interface display providing resource allocation data including the overall score and the request health index.

Abstract: The present invention relates to a computer implemented method of determining optimal business metrics from a product mix constrained by at least physical shelf space and selectively by at least one business rule. The computer implemented method comprising the steps of defining a boundary constrained shelf space, placing, physically, a product mix within the boundary constrained shelf space, and creating a product mix ranking based, in part, on prior sales of each of the product type. The computer implemented method continues by using a data processing device to develop, through algorithmic autonomous learning, achievable business metric performance of the boundary constrained shelf space. In this regard, a group of similar product mix/ranking is optimized to create an ideal product mix/ranking which is then use to inform changes to make to the product mix to achieve the desired OPTIMAL BUSINESS METRIC.

Abstract: There is provided an information processing apparatus, an information processing method, and a recording medium which are able to calculate a current price of a product more objectively and accurately, the information processing apparatus including a current price calculation unit calculating a current price of a target product, in which the current price calculation unit dynamically calculates the current price of the target product on the basis of an assessment rank of the target product determined, and supply/demand information regarding a transaction of a product that belongs to an assessment rank that is same as the assessment rank of the target product and has a product type that is same as a product type of the target product.

Abstract: A method for reducing the consumption of fuel by passenger aircraft in an air transportation system which includes at least two airports between which there is at least one flight route, having the following steps: a) retrieving flight data F relating to the airports from a first memory; b) determining a flight route along which a number of n?2 flights, whose departure times are in a first time window T1 by means of n first passenger aircraft are carried out, from the flight data F; c) determining a total number of passengers Z of the n flights and storing the total number of passengers Z in a second memory; d) selecting m?n?1 second passenger aircrafts with a total capacity of Gm?Z for carrying out m flights; e) retrieving passenger data P of the n flights from a third memory and storing the passenger data P in the second memory; f) configuring equipment features Mm of the m second passenger aircrafts taking into account the passenger data P; g) carrying out the m flights along the determined flight route wi

Abstract: A computer-implemented method comprising receiving user preference information, based on the received user preference information, determining one or more user settings, processing data to determine a data condition, wherein, to determine the data condition, a plurality of alternate data inputs of different types are processed and normalized, and applied to a series of operations to generate a forecast having a degree of confidence, and the data condition is compared with third party information; providing an electronic notification indicative of the data condition to the user device, wherein the electronic notification includes the data condition compared with the third party information, a confidence indicator associated with the data condition, and a user prompt; in response to a single user input, the user device generating an instruction to execute the user request; and based on the instruction, executing the user request based on the determined one or more user settings.

Abstract: The present invention relates to a method of determining a maximum days-on-shelf metrics from a product mix constrained by at least physical shelf space and selectively by at least one business rule. The method comprises the steps of defining a boundary constrained shelf space, placing, physically, a product mix within the boundary constrained shelf space, creating a product mix ranking based, in part, on prior sales of each of the product type. The method continues by using a data processing device to develop, through algorithmic autonomous learning, achievable business metric performance of the boundary constrained shelf space. In this regard, a group of similar product mix/ranking is optimized to create an ideal product mix/ranking which is then used to determine the MAXIMUM DAYS-ON-SHELF, which is the number of days before an out of stock condition of a product type SKU occurs.

Abstract: A sales lead generation system includes components including a gaming device and an application server. The application server includes a game controlling module and an education module configured to display on the gaming device educational information regarding financial products and receive data indicating that the end user has reviewed the educational information or answered a question regarding it. The application server also includes a loyalty module configured to award the end user consumer reward points. A social media server component is configured to transmit social media data associated with the end user to the application server. A biofeedback device component is configured to collect biofeedback data associated with the end user and transmit the biofeedback data to the application server. The application server further includes a correlation module configured to identify financial products based on the game play data, the social media data and the biofeedback data.

Abstract: Automatic completion of robotic process automation (RPA) workflows using machine learning (ML) is disclosed. A trained ML model may intelligently and automatically predict and complete the next series of activities in RPA workflows (e.g., one, a few, many, the remainder of the workflow, etc.). Actions users take while creating workflows over a time period may be captured and stored. The ML model may then be trained and used to match the stored actions with stored workflow sequences of actions in order to predict and complete the workflow. As more and more workflow sequences are captured and stored over time, the ML model may be retrained to predict a larger number of sequences and/or to more accurately make predictions. Auto-completion may occur in real-time in some embodiments to save time and effort by the user.

Abstract: A method, apparatus and computer program product are provided for mobile location based sales lead identification. Sales lead information may be provided based on a reference location, such as a sales resource real time location. Additional location information, demand information, competitive information, activity history, follow-up tasks, sales resource ownership information and past promotions relating to a particular sales lead may be additionally provided. The mobile location based sales lead information may allow a sales resource to efficiently manage their time during and in between sales visits, and prepare effective sales pitches to sales leads.

Abstract: Aspects of the subject disclosure may include, for example, embodiments include receiving a first trouble ticket reporting a first service outage of a communication network and a second trouble ticket reporting a second service outage of the communication network. Further embodiments can include determining a first customer impact according to the first service outage and determining a second customer impact according to the second service outage. The first customer impact is determined by a degradation of quality metrics, a site priority, and a number of complaints due to each service outage. Additional embodiments can include identifying that the second customer impact is higher than the first customer impact. Also, embodiments can include prioritizing a resolution of the second trouble ticket over the first trouble ticket according to the second customer impact being higher than the first customer impact. Other embodiments are disclosed.

Abstract: A location based measurement system monitors user interactions with media items, and visitation data to physical locations, to calculate an engagement score of the media item, wherein the engagement score serves as an indication of a “lift” incited by the media item on a population of users exposed to the media item. The location based measurement system may be or include any instrumentality or aggregate of instrumentalities operable to compute, process, store, display, generate, communicate, or apply various forms of data for geo-fencing, control, or other purposes.

Abstract: Systems and methods for identifying market share and sales potential are provided. Data is retrieved from databases with sales revenue potential and forecasted sales revenue of a company. Retrieved data is categorized to reflect user input indicating a type of market share analysis to be performed. The categorized data is provided at a graphical representation comprising a bar for each category. A first portion of the bar reflects a total value of the potential sales revenue and a second portion of the bar reflects the forecasted sales revenue such that relative market share may be quickly assessed.

Abstract: For an enterprise system in which physical items are stored in physical container and in which physical container are stored in other physical containers, a data system has data records identifying logical items and logical containers that correspond to the physical items and physical containers, the data records further reflecting the storage of physical items and physical containers with other physical containers. Some of the items are identified as as high-priority items. Containers to hold the high-priority items in transit are identified. Excess capacity in the containers is identified. Low-priority items to be sent are identified. The high-priority items and the low-priority items are aggregated into a list of items-to-be-moved. A list of tasks includes instructions to move the items-to-be-moved from their respective starting logical locations to the containers is made and distributed.

Abstract: Methods and systems for synchronizing product information with one or more channels may include a synchronization engine that may receive, for each storefront of a plurality of storefronts, product information for products and selected channels for the products. The synchronization engine may translate, for each selected channel, relevant product information to a translated product format for each respective selected channel and determine error data relating to the translated product formats. An analysis of error data may be performed, with a recommendation for preventing future synchronization errors for one or more storefronts with a particular channel based on the analysis.

Abstract: An asset management system used in a process control plant or other control system includes a database that stores asset data for each of a plurality of devices within the plant and a viewing system that accesses the asset data to provide statistical information to a user pertaining to the plant assets. The asset management system enables a user to define and store one or more projects within the plant and a set of plant assets associated with each of the projects. Thereafter, the asset management system performs statistical analyses on the assets within one or more of the defined projects and presents, to a user via a user interface, raw and statistical information pertaining to the assets within the project. The analysis engine may determine the device states or health statuses of the assets associated with the project and may present statistical and/or historical information regarding the number or percentage of assets within the project that are in a particular state or status.