Abstract: A platform server includes at least one memory configured to store instructions for performing a predetermined operation, and at least one processor operatively connected to the memory and configured to execute the instructions. The at least one processor is configured to store data in which carbon emissions are defined for each manufacturing weight of bicycle parts made of a predetermined material, acquire an image of a bicycle, determine parts included in the image, determine carbon emissions according to manufacturing of the bicycle by comparing information on the determined parts with the defined data, and provide mileage to a subject related to an event based on the determined carbon emissions when the event related to the bicycle corresponding to the image occurs.

Abstract: Embodiments forecast demand of an item by receiving historical sales data for the item for a plurality of past time periods including a plurality of features that define one or more feature sets. Embodiments use the feature sets as inputs to one or more different algorithms to generate a plurality of different models. Embodiments train each of the different models. Embodiments use each of the trained models to generate a plurality of past demand forecasts for each of some or all of the past time periods. Embodiments determine a root-mean-square error (“RMSE”) for each of the past demand forecasts and, based on the RMSE, determine a weight for each of the trained models and normalize each weight. Embodiments then generate a final demand forecast for the item for each future time period by combining a weighted value for each trained model.

Abstract: Methods, systems, and apparatus, including computer programs, for a monitoring system that is configured to hail a car from a ride-sharing service. The method comprises determining, based on sensor data from one or more sensors at the property, that a person located at the property is preparing to leave the property, based on historical sensor data, an estimated time that the person will depart the property, determining, based on the estimated time that the person will depart the property, whether a suitable vehicle from a ride-sharing service will be within a predetermined vicinity of the property within a predetermined amount of time of the estimated time that the person will depart the property, receiving data indicating that the person is leaving the property and based on receiving the data indicating that the person is leaving the property, notifying the person that the suitable vehicle is available pick the person up.

Abstract: Embodiments for managing potential customers by one or more processors are described. An identification of a potential customer for a vendor is received. A risk level associated with the potential customer is determined based on customer data from at least one data source associated with the potential customer. A signal representative of the determined risk level associated with the potential customer is generated.

Abstract: Disclosed are techniques for evaluating a condition in a CAP report.

Abstract: An exemplary method includes receiving, by a processor, flight information from a computer device associated with an airline identifying a flight and passengers on the flight that purchased flight tickets by utilizing payment cards associated with a card authorizing entity. Passenger food preferences for the flight passengers based at least in part on historical payment card transaction data of the flight passengers is received from a computing device associated with the card authorizing entity based on the flight information. A food inventory available to be serviced on the flight is received. Automatically determining a flight-specific food inventory, to minimize an overall weight of the flight-specific food inventory to be carried by the flight based on the passenger food preferences. Automatically transmitting food packing instructions to a packing-related machine based on the flight-specific food inventory so as to assemble a portion of the flight-specific food inventory.

Abstract: A method for determining optimal path arrangements for an infrastructure link between two geographic locations. The method includes modelling a geographic terrain containing the two geographic locations; optimizing an arrangement cost and a repair rate for two or more potential paths based on the modelled geographic terrain, an arrangement cost model, and a repair rate model, taking into account at least two design levels; and determining the optimal path arrangements each including multiple path portions and respective design levels associated with the path portions based on the optimization.

Abstract: One embodiment provides a method, including: receiving information for each of a plurality of products; for each of the plurality of products: predicting a demand for the product; calculating a sustainability score, wherein the sustainability score is based upon a material composition of the product; and computing a similarity score, wherein the computing comprises comparing pairs of products within the plurality of products; generating a plurality of assortment choices from the plurality of products, wherein each of the plurality of assortment choices has a corresponding assortment demand value, assortment sustainability score, and assortment similarity score, wherein the generating comprises utilizing a multi-objective formulation based upon the predicted demand, the calculated sustainability score, and the computed similarity score; and providing the plurality of assortment choices to a user for selection.

Abstract: A system for electronic lead generation including a semantic graph database including a knowledge graph and a dynamic profiling module comprising automated computing machinery configured to identify a near-term surge in product interest for a number of companies of a particular size in a particular industry in a particular region of the world in dependence upon the knowledge graph and create a company profile in dependence upon the size of the identified companies, the industry of the identified companies, and the region of the world of the identified companies associated with the near-term surge. Embodiments also include a lead purchase module comprising automated computing machinery configured to generate an electronic lead purchase order in dependence upon the company profile; transmit the lead purchase order to a lead generation engine; and receive, from the lead generation engine, a plurality of leads in dependence upon the lead purchase order.

Abstract: Techniques for improving communication and expectation setting between various parties/communities of a crowdsourced platform are disclosed. The platform is used for reporting issues in a target system, program or product. A customer/subscriber entity enters a target brief in the platform. In response, a researcher enters a submission in the system. If the submission is valid, it is presented to the customer and a response-time or service level agreement (SLA) timer is started. If the customer agrees with the submission, it is marked as complete and the researcher is paid. If the customer disputes the submission, a third-party intervenes and the timer is paused until dispute resolution. If the submission requires more information the researcher is requested accordingly and the timer is reset. If at any point, the timer expires, the parties are notified and the submission is closed.

Abstract: A platform may receive a first set of address-occupant pairs from a plurality of source devices, wherein the first set of address-occupant pairs comprises identifications of physical addresses and identifications of occupants. The platform may detect an identification of a physical address that is associated with identifications of a plurality of the occupants. The platform may select, for the physical address, one of the identifications of the plurality of occupants to maintain association with the identification of the physical address. The platform may aggregate infrastructure information with the second set of address-occupant pairs, wherein the infrastructure information indicates one or more services available to be provided at one or more of the physical addresses. The platform may perform one or more actions based on identifying the one or more services available to be provided at one or more of the physical addresses.

Abstract: A device may detect a trigger to perform a benchmarking task. The benchmarking task may include a first benchmarking of a first resource utilization associated with one or more tasks completed via an automated procedure. The benchmarking task may include a second benchmarking of a second resource utilization associated with the one or more tasks completed via a manual procedure. The device may determine project data relating to a project platform based on detecting the trigger to perform the benchmarking task. The device may process the project data relating to the project platform to benchmark the project. The device may generate a recommendation relating to completion of the one or more tasks using the automated procedure or the manual procedure. The device may communicate with one or more other devices to perform a response action based on the recommendation.

Abstract: A method for determining optimal path arrangements for an infrastructure link between two geographic locations, in particular, in uneven terrain. The method includes modelling a geographic terrain containing the two geographic locations; optimizing an arrangement cost and a repair rate for two or more potential paths based on the modelled geographic terrain, an arrangement cost model, and a repair rate model, taking into account at least two design levels, wherein the arrangement cost model incorporates direction-dependent factor and direction-independent factor associated with the path arrangements; and determining the optimal path arrangements each including multiple path portions and respective design levels associated with the path portions based on the optimization.

Abstract: A system for path selection using vehicle route guidance includes computing device configured to receive a plurality of requests for a plurality of alimentary combinations and a plurality of destinations, wherein each request specifies an alimentary combination of the plurality of alimentary combinations to be assembled by at least an alimentary provider and a destination of the plurality of destinations, compute a projected nutritionally guided order volume using a first machine-learning process, determine a plurality of assembly times, the plurality of assembly times including an assembly time for each alimentary combination, as a function of the nutritionally guided order volume, generate a plurality of predicted routes as a function of the determined assembly times, and pair a predicted route of the plurality of predicted routes with a courier, wherein pairing further pairing, with the courier, the predicted route that optimizes an objective function.

Abstract: A method includes accessing a domain model plan that includes a time independent initial state and a time independent goal state and sequences of events that include a sequence of a first event, a second event and a third event with conditional interrelationships; accessing operational data that include a failure condition for the third event and a time constraint for the failure condition; issuing a control instruction to rigsite equipment to perform a drilling-related action for generating the third event; during performance of the drilling-related action for generating the third event, receiving sensor data germane to the failure condition; upon occurrence of the failure condition, timing a duration of the occurrence of the failure condition; comparing the duration to the time constraint for the failure condition; and, based on the comparing, deciding to re-plan the domain model plan or to continue execution of the domain model plan.

Abstract: In an example embodiment, multiple machine learned models are used to continually learn from data to update various prediction models. Prediction of item prices, at the production and distribution point level, and utilizing this information along with other item information, such as crop yield, operational cost, and storage cost in the case of arming, may be used to solve the long- and short-term planning problems of farmers and help in decision making based on daily and the most up-to-date forecasts.

Abstract: Embodiments disclosed herein generally related to a system and method for rideshare vehicle routing. A computing system receives, from one or more facilities, one or more transaction requests associated with one or more accounts of an organization associated with the computing system. The computing system maps one or more customers to a respective transaction request. For each facility of the one or more facilities, the computing device identifies a geographic location thereof. The computing system categorizes each of the one or more facilities into one or more boundaries. For each boundary, the computing system determines an estimated number of rideshare vehicles to deploy, based at least on a transaction history of each customer of the one or more customers. The computing system transmits the estimated number of rideshare vehicles to be deployed to each boundary to a rideshare computing system.

Abstract: Techniques are described herein for seasonal pattern determination and validation. In one or more embodiments, a set of time-series data is received to analyze for seasonal behavior. In response a plurality of patterns may be generated, including a first pattern and a second pattern, such that each of the first pattern and the second pattern approximate data points that represent a same sub-period of multiple instances of a season within the set of time-series data. One or more other instances of the season may then be analyzed to determine whether at least part of the first pattern or the second pattern is detected. Based at least in part on determining that the at least part of the first pattern is detected in the at least part of the same sub-period, a responsive action that is associated with the first pattern may be performed.

Abstract: A method and system for improving a machine learning task assignment process is provided to address productivity with respect to satisfaction. The method includes connecting hardware devices to a server system. Job related data associated with job roles for individuals is retrieved and associated with a time period. Work related items of the job related data are presented and selections for work related items are retrieved via selectors for the work items. Expected and actual satisfaction ratings for the work related items are received and analyzed in accordance with an order in which they are received. At least one work item is assigned to a user and a specialized memory repository is generated within a portion of a memory device. Results of the assignment are stored within the specialized memory repository. Self-learning software code for executing future task assignment processes is generated and modified based on reported satisfaction ratings.

Abstract: Customer data volume of a database and estimated transaction throughput requirements for a multi-tiered transaction system are received at a server sizing computing device. The customer data volume is compared to the estimated transaction throughput requirements. Based upon the comparison of the customer data volume to the estimated transaction throughput requirements, a customer data volume edge case for which server hardware is improperly sized by transaction-based hardware sizing is detected. Using the customer data volume, a quantity of operational memory of a server sufficient to store the customer data volume generated under the detected customer data volume edge case during real-time transactional processing by the server is calculated.