Abstract: A central system, or server, may store information for determining the schedules of drivers. For example, the information may include loads assigned to the drivers, training, lunch breaks, time off, and/or other commitments. The central system may centrally store the information to efficiently and conveniently determine and update schedules. The central system may allow drivers and/or carriers to manage driver onboarding, training, compliance, scheduling, work assignment, and reporting, as well as build monthly, weekly, and daily schedules. The central system may also automate matching drivers to loads, balances work distribution, reduce human errors, and assist in audits.

Abstract: A system and method for dispatching haul trucks includes a production planner configured to operate based on a production plan. The production planner computationally defines production arcs for transferring material from loading tools to dump sites, computationally develops one or more possible return arcs for each production arc, compiles a set of possible return arcs, and computationally selects a sub-set of the possible return arcs to command a real time dispatcher.

Abstract: Methods, apparatuses, and systems for scheduling tasks to field professionals include: storing, in a database, a plurality of records reflecting characteristics associated with completing a set of technical services, wherein information in each record is derived from historical experience of completing each of the technical services; receiving a request for a new technical service associated with a location; and assigning a field professional to perform the new service having determined from information in the database a likelihood that the field professional will complete the new technical service in a single on-site visit at the location.

Abstract: This disclosure covers methods, systems, and computer-readable media that identify a topic variance from digital survey responses and provide a variety of functionalities to a digital survey system based on the topic variance (i.e., by modifying a digital survey reporting structure based on the topic variance). In certain embodiments, the disclosed systems analyze one or more sets of digital survey responses to generate one or more response models. Furthermore, the disclosed systems can analyze the one or more response models to identify a topic variance (e.g., an emerging topic, a change in trend for a topic, and/or a change in sentiment for a topic). Upon identifying a topic variance, the disclosed systems modify a digital survey reporting structure and/or generate notifications based on the identified topic variance.

Abstract: A system including one or more processors and one or more non-transitory computer-readable media storing computing instructions configured to run on the one more processors and perform: obtaining historical demand data for pickup time slots at a physical store for a first time period; training a machine learning model to create a trained model based on the historical demand data for the pickup time slots over the first time period; generating, using the trained model, a projected demand for future pickup time slots at the physical store for a second time period; generating a time-slot capacity for each of the future pickup time slots at the physical store for the second time period based at least in part on the projected demand; and sending the time-slot capacities for the future pickup time slots to the physical store. Other embodiments are described.

Abstract: Approaches relating to customer service management for recurring revenue assets are described. A CSM application or other CSM software tool (or set of tools) can include features relating to customer lifecycles, product usage, and/or customer success, each of which can be monitored based on various analytical measures, metrics, indicators, etc. provided by one or more analytical engines. Systems, methods, computer program products, and the like are described.

Abstract: In general, the subject matter described in this disclosure can be embodied in methods, systems, and program products for routing items in a warehouse. A computing system receives a request to assign an inbound truck to a transport bay and determines an available subset of unloading paths, by removing any unloading path directed from a transport bay or inbound storage area that is currently occupied/assigned. The computing system determines an available subset of loading paths, by removing any loading path directed to a transport bay or outbound staging area that is currently occupied/assigned. The computing system identifies multiple available path combinations that each include an unloading path from the available subset of unloading paths and a loading path from the available subset of loading paths. The computing system determines a selected path combination based on the selected path combination having a most favorable score.

Abstract: Concurrent meeting and compute instance scheduling is disclosed. A request to schedule a compute instance to be provisioned for use during a meeting identified in a meeting invite interface is received. The compute instance is caused to be provisioned at a predetermined time prior to a meeting start time. An address of the compute instance is obtained prior to the meeting start time.

Abstract: Systems and methods disclosed herein relate to the selection of planogram templates for display in retail stores and in online retail environments and the automatic selection, assignment, and monitoring of items assigned to locations in those templates. Additionally, planogram templates, product assortments, and assignments may be dynamically updated in real time based upon feedback and other factors.

Abstract: A schedule changer executes, as a schedule change process for changing a normal operation schedule, a cut-in change process in which a plurality of operating vehicles are divided into a sequence of an advanced vehicle line group for which a departure target time is advanced from a departure target time determined based on the normal operation schedule, and a sequence of a delayed vehicle line group for which the departure target time is delayed from the departure target time determined based on the normal operation schedule, and an inter-vehicle space between the advanced vehicle line group and the delayed vehicle line group is enlarged for an additional vehicle.

Abstract: A floor operations automation system can include an intelligent video module, profiles, decision rules, and a decision module. The intelligent video module can be configured to generate video analytics data from video captured by video cameras within a retail location. The profiles can contain data that represents a business practice or policy of the retail location and/or user-specified preferences for decision-related variables. The decision rules can express actions to be performed in response to predefined conditions within the retail location. The decision module can be configured to decide upon action to be performed, based upon the video analytics data, the profiles, and the decision rules. The decision can be made without direct input from a human agent of the retail location. The actions can affect a business system and/or a human agent associated with the retail location.

Abstract: A facility for identifying workers in a crowdsourcing or micro-tasking platform who perform low-quality work and/or are really automated bots is described. To identify users who perform low-quality work and/or are really bots, the facility (1) measures the quality of at least a portion of the work done by each user, and (2) tracks the pattern of behavior performed by each user on the platform—such as which work projects they select, the content of the responses, and the timing of each user interface interaction. The facility uses this information to build and maintain a model, such as a statistical model, that uses the pattern of a user's behavior to predict the level of quality of the user's work. Users for which the model predicts a low level of quality are flagged for manual review, or automatically suspended from working or from receiving payment.

Abstract: A manager terminal generates work plan information that is information regarding a work plan by at least one work machine, set for each operator who remotely operates the at least one work machine, and includes a work item by the work machine that is remotely operated by the operator and work time for the work item based on contents input by a construction manager, and inputs the work plan information into a server. The server generates progress information indicating work progress of the operator for the at least one work machine based on the work plan information input from the manager terminal and work information input from at least one work information acquisition unit, inputs the progress information into the manager terminal, and presents the progress information to the construction manager.

Abstract: A dynamic resource allocation engine which can assist in automating activities and processes within an organization. More specifically, the concepts disclosed herein can reduce operational costs by eliminating unnecessary devices, processes, and/or personnel, while also providing an efficient mechanism for testing the effects of new resources on the entire system. This is done by first combining data associated with devices, processes, and personnel, in a common (normalized) data format. This combination represents a simulation of the business or enterprise associated with the data, and can be referred to as a “resource allocation engine.” The resource allocation engine provides information about how resources are being used within the organization.

Abstract: Systems and methods for a cost-to-serve (CTS) service to measure total cost-to-serve and cost attributions by a plurality of CTS agents spawned across dynamic resources to capture information from a set of instances associated with the plurality of resources; a CTS agent transaction module to publish a set of metrics established by the CTS agent for each instance and usage type; a CTS service collector module to aggregate from each CTS agent, one or more instances from the set of instances to generate transaction metrics; a CTS measurement service module for measuring a total cost for each selected transaction stored at the CTS store based on at least a cost per unit; a CTS metrics processor module for aggregating metrics related to the transactions to determine total cost and set of cost attributions for a selected cloud; and a CTS metrics analytic module to provide cost attribution analytics in the selected cloud in an analytics display.

Abstract: Methods and systems for scheduling tasks for field professionals include: receiving a set of first requests for on-site assistance from a first set of users; receiving a set of second requests for remote assistance from a second set of users; assigning a plurality of location-based tasks associated with the set of first requests to one or more field professional; receiving real-time information associated with the one or more field professional including current location; determining based on the real-time information whether the one or more field professional can complete a location-agnostic task associated with a second request after completing a first location-based task and before starting a second location-based task; and assigning the location-agnostic task to the one or more field professional.

Abstract: Methods and systems include receiving vehicle data that is associated, at least in part, with one or more vehicle-related products/services. One or more predictions that are associated with the one or more vehicle-related products/services are determined. The one or more predictions are based, at least in part, on the vehicle data.

Abstract: In some examples, artificial intelligence and machine learning based product development may include ascertaining an inquiry, by a user, related to a product that is to be developed or that is under development, and ascertaining an attribute associated with the user. The inquiry may be analyzed to determine at least one virtual assistant from a set of virtual assistants to respond to the inquiry. The determined at least one virtual assistant may be invoked based on an authorization by the user. Further, development of the product may be controlled based on the invocation of the determined at least one virtual assistant.

Abstract: A method for managing work orders (WOs) includes: identifying connections between a server and electronic devices, each of the electronic devices corresponding to a work center (WC) of a plurality of WCs, each WC having a WO queue; and controlling production by: storing status information for a subject WC and adjacent WCs that are immediately upstream of the subject WC; identifying a next WO to be authorized for production at one of the upstream adjacent WCs based on a priority-setting rule; determining a need time until the subject WC is available to start work on the next WO; determining an arrival time until the next WO will arrive at the subject WC; and modifying the WO queue of the upstream WC to authorize the next WO at the upstream adjacent WC if the arrival time is greater than or equal to the need time of the subject WC.

Abstract: A collaboration system for sharing digital content among multiple conferees during a conference session, each conferee using a personal computing device including a device display screen and a device processor, includes a wireless receiver, at least a first large common display screen providing a common emissive surface, and at least a first system processor linked to the receiver and the at least a first common display screen. The device and system processors are programmed to cooperate to provide a user interface via each device display screen, each interface including at least a first sharing field and a file queue. The processors also are programmed to visually distinguish, on each user interface, each file added to the session by one conferee from other files added by other conferees. Additionally, the processors are configured to replicate content presented in the at least a first sharing field on the large common emissive surface.