Abstract: Techniques are provided for the automated risk assessment of a document. In one embodiment, the techniques involve mapping, via a risk assessment engine, one or more sentences in a first document to one or more risk categories, identifying, via a classification engine, risk-associated language of the one or more sentences based on the one or more risk categories, mapping, via a risk assessment engine, the risk-associated language of the one or more sentences to one or more risk criterion of a risk criterion document, and generating, via a risk assessment engine, a first risk assessment based on the one or more risk criterion of the risk criterion document.

Abstract: This collectively manages an operation rate of multiple test facilities, and is an operation rate analysis system that is communicably connected to multiple test facilities that test a specimen as being a vehicle or a part of the vehicle and that analyzes an operation rate of the above-mentioned multiple test facilities, and that comprises an operation information obtaining part that obtains operation information of the above-mentioned multiple test facilities, a setting receiving part that receives a user setting relating to an operation judgment condition to judge whether each of the multiple test facilities is in operation or not, and an operation rate calculating part that calculates the operation rate of each of the multiple test facilities or the operation rate of all of the multiple test facilities from the operation information obtained by the operation information obtaining part based on the operation judgment condition received by the setting receiving part.

Abstract: Systems, methods and computer program products for selecting dealers based on characteristics of the dealers and the user. A vehicle data system collects dealer location and historical transaction data from external data sources and generates and stores an eligibility table that identifies a set of eligible dealers for each combination of user location and vehicle make. Eligible dealers are determined from the eligibility table using a location and vehicle make identified from a user request. Scores are determined for each eligible dealer based on a dealer scoring model using a binary choice model in the form of a logistic regression of market share, inventory, close rate, price and distance, and dealers are ranked by these scores. A presentation of dealers selected by rank and by closest location to the user is generated and provided to the user via an interface running on a computing device.

Abstract: A system and method are disclosed for interactive product assortment planning and visualization by receiving product attribute values for items of a product assortment is disclosed. Embodiments include displaying icons on an interactive visualization, connecting the icons with transferable demand links, identifying items to be removed from a product assortment, and transporting items among one or more supply chain entities.

Abstract: A computer-implemented is disclosed. The method includes: obtaining current delivery schedules of a plurality of delivery entities, the current delivery schedules including delivery data for pending deliveries of product orders associated with a plurality of merchants; receiving, from a computing device, a first order for a product associated with a first merchant; determining order data for the first order, the order data indicating, at least, an inventory location having available inventory of the product and a delivery destination for the first order; identifying a first set of the pending deliveries, the identifying including comparing delivery routes associated with said pending deliveries with order data for the first order; generating messages for causing delivery entities associated with the first set of pending deliveries to include the first order in their respective delivery schedules; and sending the generated messages to the respective delivery entities.

Abstract: Quick service restaurants with car wash systems and traffic management systems for managing customer traffic and routing customers who have made food-only purchases and customers who have purchased both a food item and a carwash service. In some examples, graphical user interfaces incorporated in point of sale systems display time predictions for the delivery of food items and carwash services to aid and encourage customer selection of both food items and carwash services.

Abstract: A computer-implemented is disclosed. The method includes: receiving a selection of a product; determining that there is insufficient available inventory of the product at a pick-up location; in response to the determining: selecting, based on inventory tracking data for the product, a first inventory location having available inventory of the product; determining, based on the first inventory location, the at least one possible pick-up location, and inventory transfer data, an inventory transfer time from the first inventory location to the pick-up location; and determining an earliest time of availability of a first quantity of the product at the pick-up location based on the inventory transfer time, and transmitting, to a customer device, the earliest time of availability of the first quantity of the product at the pick-up location for presenting, by the customer device, as available inventory at the pick-up location for pick up after the earliest time of availability.

Abstract: A computer-implemented method includes a method comprising using at least one hardware processor to: receive a plurality of data from a plurality of data sources; standardize the plurality of data; tag the standardized plurality of data with one or more companies; train a prediction model to predict a metric for each of the one or more companies based on the standardized plurality of data tagged with that company and historical measurements for that company; and apply the prediction model to new data to predict the metric for at least one of the one or more companies.

Abstract: A method for controlling an energy production and distribution system includes identifying sources that supply input resources, subplants that produce output resources using the input resources, and sinks that consume the output resources. The method includes obtaining a cost function including a cost of producing the output resources and generating a transit time constraint that requires the input resources be sent from the sources to the subplants at a first departure time that occurs before a first arrival time at which the input resources are predicted to be used by the subplants. The method includes solving an optimization problem to determine an amount of the output resources to produce at each of multiple time steps within a time period. Solving the optimization problem includes performing an optimization of the cost function subject to the transit time constraint.

Abstract: Embodiments include an omni-channel analytics branding insights engine. The omni-channel analytics branding insights engine can include an omni-channel platform data store configured to receive and store brand data, and an insights interface logic section. The insights interface logic section can receive brand data from the omni-channel platform data store. The insights interface logic section can include an interactive report generator, which can process the brand data, and generate one or more interactive reports based on the brand data for display on a display device. The omni-channel brand analytics insights engine quantifies branding strategies and assists in the understanding of what stories and themes drive the greatest impact, thereby providing key insights for optimizing current and future branding strategies.

Abstract: A computer-implemented method comprising at least one hardware processor to: at each of one or more times, receive, from a user, a company identifier and one or more conditions, generate an alert for the company identifier and the one or more conditions, and associate the alert with the user; receive a plurality of data from a plurality of data sources in real time; update a plurality of signals based on the plurality of data, wherein each of the plurality of signals represents one of a plurality of critical indicators for one of a plurality of companies; and for each alert associated with the user, apply the one or more conditions of the alert to at least one of the plurality of signals to determine whether or not the alert is triggered.

Abstract: A method, apparatus, and computer program, each configured for gauging the health or quality of available supply, are provided. An exemplary method for generating a supply index indicative of a quality or health of supply by calculating and aggregating a supply metric calculated from a perspective of each of a plurality of individual customers to identify those locations where an increase in supply would most positively impact value to customers comprises identifying a location of a user, identifying at least a portion of each of one or more renderable data objects available to a user located at the location, applying a first weight to each of the portion of each of the one or more renderable data objects, calculating a total of each of the weights, applying a coverage cap to determine a capped total, and generating a supply index comprised of aggregated capped totals.

Abstract: Systems, methods and non-transitory computer readable media for generating tasks from images of construction sites are provided. For example, image data captured from a construction site using at least one image sensor may be obtained. The image data may be analyzed to determine at least one desired task related to the construction site and to determine at least one parameter of the at least one desired task. The determined at least one parameter of the at least one desired task to provide information configured to cause the performance of the at least one desired task.

Abstract: A method of managing a plurality of washrooms in a facility for servicing by service personnel and, more particularly, for establishing servicing operations which provide for service of at least selected of the dispensers before their consumable product supply falls below a pre-selected refill value.

Abstract: This disclosure describes a graphics processing unit programmed to generate a sample path for the demand of the one or more products at a store based at least in part on data associated with a historical distribution of the variability of the demand of the one or more products. The graphics processing unit may generate a thread corresponding to a plurality scenarios. The graphics processing unit may execute the thread in parallel to determine one or more parameters for each of the plurality of scenarios for the one or more products. The graphics processing unit may select the one or more parameters generated from the execution of one of the sample paths to minimize the cost. The graphics processing unit may adjust an inventory management system to set an inventory management setting based at least in part on the selection of the one or more parameters.

Abstract: An approach is provided for mining pedestrian probe data from mix-mode probe data. The approach involves, for example, receiving a probe trajectory including a vehicle mode of travel, a pedestrian mode of travel, or a combination thereof. The approach also involves processing the probe trajectory to determine at least one speed value and at least one sinuosity value. The approach further involves determining a pedestrian probe detection metric based on the at least one speed value and the at least one sinuosity value. The approach further involves ranking the probe trajectory among a plurality of probe trajectories based on the pedestrian probe detection metric and/or classifying the probe trajectory as either a vehicle probe trajectory or a pedestrian probe trajectory based on the pedestrian probe detection metric.

Abstract: Techniques described herein relate to executing and monitoring physical simulations within a digital credential platform. Physical simulation evaluation systems may be implemented including sensor-based monitoring systems, simulation output systems, and/or simulation environment control systems. Particular types of digital credential simulations may be determined and executed within a physical environment, during which a plurality of sensors may be used to monitor the physical actions of a credential receiver during physical simulation. The physical action data may be analyzed and compared to digital credential requirements to determine one or more digital credentials to be generated and issued to the credential receiver.

Abstract: Systems and methods for providing AI-based cost estimates for services are disclosed. The method may comprise receiving, at one or more processors, data from a scanning of a location, the scanning performed by one or more of a camera, a computer vision device, an inertial measurement unit, or a depth sensor. Data may be received, at one or more processors, related to the identification of one or more key elements at the location. An itemized statement and quote of work to be performed may be generated at one or more processors.

Abstract: Systems and methods for managing flexible events in an electronic calendar are disclosed. In embodiments, a computer-implemented method comprises: determining, by a computing device, that an electronic calendar event is a flexible event based on recording data of the electronic calendar event indicating that a recording of the electronic calendar event may be available; determining, by the computing device, an end date by which the electronic calendar event must be completed based on the scheduling data; and displaying, by the computing device, an electronic calendar with the electronic calendar event to a user.

Abstract: This disclosure provides a system and method for concurrent dynamic optimization of a replenishment decision in a networked node environment by receiving at least one current state attribute associated with the networked node environment at a predetermined time interval; obtaining an optimized entity actionable matrix by mapping the at least one of current state attribute and an associated actionable entity; computing a predictive replenishment matrix for an impending cycle of the networked node environment based on the optimized entity actionable matrix; identifying a reward function for the predictive replenishment matrix; and determining the replenishment suggestive actionable element based on the reward function. The reward function includes a computation of overall cost with regard to a realized revenue associated with aggregation of the plurality of nodes.