Abstract: There is described a method and distributed network for managing a supply chain. At least one local production system is fed with an algorithm for producing a good or service (such as agricultural produce) over a production duration. An edge computing device, receives and treats data originating from the at least one local production system. A server periodically receives, from remote data sources, data relative to a market for the good or service, after a time period which is less than the production duration, and receives data treated by the edge computing device to perform comparisons with the data relative to the market to make a diagnostic. The diagnostic is transmitted to a machine learning module for updating the algorithm for production after the time period which is less than the production duration and feeding the algorithm as updated to the at least one local production system.

Abstract: A system includes a model database configured to contain model items representing capital project components. Each model item has at least one model item code. The system includes a schedule database configured to contain schedule items representing a portion of a construction schedule. Each schedule item has at least one schedule item code. The system additionally includes a cost database configured to contain cost items representing a cost for the portion of the construction schedule and/or the capital project components. Each cost item has at least one cost item code. A rules engine is configured to receive a rule for mapping model items, schedule items, and cost items. The rule includes a code sequence related to the model item, the schedule item, and the cost item. A mapping engine communicates with the model, schedule, and cost databases to map model, schedule, and cost based on the rules.

Abstract: A server may execute a communication process flow that controls electronic communications between a tenant of a multitenant system and a set of users corresponding to the tenant. A set of electronic communications that are transmitted to a particular user of the set of users is determined based at least in part on a set of actions defined by the communication process flow. The server may monitor web behavior data associated with the set of users in accordance with a first action of the set of actions, detect that a first user of the set of users satisfies a rule defined by the first action based at least in part on monitoring of the web behavior data, and route the first user to a next action of the set of actions in the communication process flow based at least in part on detecting that the first user satisfies the rule.

Abstract: A washroom management system with a sensor to generate operability level data for a washroom component: a controller to modify operation of the washroom component; and a central management system to access the operability level data, communicate with the controller and evaluate the operability data to determine an actionable event type for the washroom component, and the central system further configured to in response to determining the event type is the automated resolution event, put the washroom component into the issue resolution state and then putting the washroom component to one of the normal operation state or disabled state based on evaluating the operability level data after the issue resolution state; and in response to determining the event type is the assisted resolution event, leave the washroom component in the normal operation state or put it into the disabled state and causing a message to be sent to an attendant.

Abstract: A system includes one or more processors and one or more non-transitory computer-readable media storing computing instructions that, when executed on the one or more processors, cause the one or more processors to perform: selecting, by a greedy tote reduction algorithm within an infeasible totes loop, items that have a highest volume restriction and a highest weight restriction for each of a plurality of respective totes; iteratively executing a swap of the items; iteratively searching for candidate solutions until a solution of picklists for the plurality of respective totes containing the items, as swapped, is found; executing a minimum trolley loop algorithm on the solution of picklists to create combined picklists; and displaying to a picker on an interface of a computing device, turn-by-turn directions within a pick walk for the combined picklists. Other embodiments are disclosed herein.

Abstract: Systems and methods for change management are provided. An electronic product and/or service provisioning system is tracked as a function of experiences. Changes are implemented at a process level, where two or more processes make up an experience.

Abstract: The systems and methods involve a feedback application, a feedback processing application, an analytics application, and an event moderating application. The feedback application allows users to submit feedback and displays received feedback anonymously to feedback recipients. The feedback processing application anonymizes the submitted feedback and the data to be retrieved from the feedback processing application and provide the anonymized feedback and data to the feedback application. The feedback processing application includes technology to protect feedback giver's identity and increase the speed of anonymizing the feedback and data and providing the anonymized feedback and data to the feedback application. The analytics application examines user's feedback giving and receiving behavior and evaluate their feedback empathy and authenticity and their learning behavior.

Abstract: Techniques are provided that may include receiving sensor data from one or more machine sensors, the sensor data indicating machine failure. Informational data about current repair technician backlog, shop availability backlog, and parts availability are retrieved and inputted to a machine learning model for computing an estimated time to when the failed machine will be repaired. Customer data and dealer site data are retrieved and an estimated financial impact from a potential loaner machine is computed. The various computed and retrieved data are inputted to a decision tree algorithm, which computes an optimal solution for maintaining customer productivity. The network-accessible dealer site is notified of the optimal solution, which is intended for the customer.

Abstract: Apparatuses, systems, and methods described include receiving data related to an availability for a shift, automatically triggering initiation of a communications session related to the shift, conducting the communications session, and receiving and storing a plurality of audio or audio and visual signals from the communications session. Machine learning (ML) sentiment analysis is performed on data of the communications session and based on the sentiment analysis, a reliability score is determined.

Abstract: Embodiments of the present invention relate to providing intelligent alerting and automation for marketing analytics software. In implementation, intelligent alerting is initiated by a user, which enables deep learning models to analyze various data patterns. Intelligent alerting learns about preferences and data consumption patterns of the user with marketing analytics software. Intelligent alerting also accounts for and learns from any manually created alerts set up by the user and/or alerts created automatically by anomaly detection. Intelligent alerting analyzes all other users within the organization of the user to find similar users based on their consumption patterns. An on-demand game may be provided to the user to determine the criticality of one metric change over another. This enables intelligent alerting to automatically provide alerts which pass a critical threshold of importance to the user and context to help the user understand why a metric changes in a significant way.

Abstract: There is a need for solutions that perform predictive data analysis using a value-based predictive input.

Abstract: A method and system generate at least one itinerary from a departure location to an arrival location, each itinerary having a beginning part from the departure location to an initial station of a multimodal transportation network of predetermined stations, a main part in the multimodal transportation network, defined as a sequence of displacements each from a station of the multimodal transportation network to another, and an end part from a final station of the multimodal transportation network to the arrival location.

Abstract: A computer system and computer-implemented method for retail merchandise planning, including promotional product selection, price optimization and planning. According to an embodiment, the computer system for generating an electronic retail plan for a retailer comprises, a data staging module configured to input retail sensory data from one or more computer systems associated with the retailer; a data processing module configured to pre-process the inputted retail sensory data; a data warehouse module configured to store the inputted retail sensory data and the pre-processed retail sensory data; a state model module configured to generate a retailer state model for modeling operation of the retailer based on the retail sensory data; a calibration module configured to calibrate the state model module according to one or more control parameters; and an output module for generating an electronic retail plan for the retailer based on the retailer state model.

Abstract: Systems and methods for managing inventories of blood components are disclosed. Such systems and methods are configured to improve the predictability, efficiency, and/or automation of blood component supply chains. Tools are provided for tracking blood component inventories, forecasting blood component demand, and coordinating donations to meet current and anticipated demand. Some embodiments of the systems and methods identify when blood component units at a health care facility are beginning to run low or are approaching expiration, before the need for additional units becomes critical. Some embodiments of the systems and methods coordinate new donations and modify existing scheduled donations to meet real-time and forecasted demand for blood components.

Abstract: Systems and methods for constructing a scheme containing one or more statements of a plurality of objectives and for using the constructed system are disclosed herein. The system receives an initial statement of a plurality of objectives related to an organization's strategy. For each objective the construction system provides access to one or more authorized users to enable the one or more authorized users to update the information on the objective; automatically analyzes the updated information to identify relationships in the objectives; automatically updates the information to include the one or more relationships; and automatically converts the updated information into a standardized format to publish the updated, converted information. The system includes storing the converted information on the plurality of components. The system then provides remote access to the updated, converted information to the one or more authorized users.

Abstract: Systems and methods for providing a disposal recommendation for a vehicle are provided. The method includes generating a profile for a first vehicle, the first vehicle being an income generating vehicle and the first vehicle profile including at least age, mileage, and location of the first vehicle, receiving monitoring data of the first vehicle, and receiving sales data for second vehicles, the second vehicles corresponding to the profile. The method may further include generating predicted depreciation data of the first vehicle, based on the sales data and the monitoring data, generating a predicted profit data from the first vehicle, and providing a recommended disposal time for the first vehicle, based on the predicted depreciation data and the predicted profit data.

Abstract: Systems and methods for modeling and analysis of commerce platform system infrastructure provided by cloud services provider systems to a commerce platform are described. The method may include receiving a cloud services provider spending report generated by a cloud service provider system, wherein the cloud services provider spending report comprises information indicative of costs of cloud services provider resource usage by the commerce platform system over a period of time, and receiving a service report for one or more systems of the commerce platform, wherein the service report comprises information indicative of execution of services of the one or more systems of the commerce platform over the period of time. A directed graph may then be generated that models costs of commerce platform system service usage at the cloud services provider system.

Abstract: A computer-implemented method allows a wait time to be determined automatically for a queue area. The queue is part of an environment and includes defined entrance and exit areas. A series of images showing the environment are received over time. A wait time associated with the queue area is determined by detecting a location of a object corresponding to a person in a first one of the images; associating the object with an identifier uniquely identifying the object in the first one of the images matching objects in later images; and determining the wait time based on times associated with an image in which an object associated with the identifier enters the queue area through the defined entrance area and later one of the images in which an object associated with the identifier exits the queue area through the defined exit area. An indication of the wait time is output.

Abstract: Provided is a computer-implemented method for determining a dominant account profile of an account. The method may include receiving transaction data associated with a plurality of payment transactions conducted within a predetermined time interval of activation of an account involved in the plurality of payment transactions, generating a dominant account profile classification model, determining a plurality of prediction scores for the account based on the dominant account profile classification model and the transaction data, where determining the plurality of prediction scores includes determining, for the user, a prediction score for each dominant account profile, where a prediction score includes a prediction of whether the user will conduct a threshold value of payment transactions using the account in one or more payment transaction categories of a plurality of payment transaction categories, and communicating data associated with the plurality of prediction scores.

Abstract: A system and method are disclosed for assigning a ticket including one or more databases that store data describing electronic communication between one or more customer system communication devices and one or more service center communication devices. Embodiments further include a computer coupled with one or more databases and configured to monitor communication activity to determine whether a communication channel is opened between one or more customer system communication devices and one or more service center communication devices, responsive to a ticket being opened between one or more customer system communication devices and one or more service center communication devices, analyze the ticket for at least one topic and customer data, search the one or more databases for missing customer data, and in response to detecting missing customer data, identify one or more relationship models that predicts a value for the missing customer data based on known customer data.