The present disclosure relates to systems and methods for matching electronic activities with record objects based on entity relationships. The method can include accessing a plurality of electronic activities, identifying an electronic activity, identifying a first participant associated with a first entity and a second participant associated with a second entity, determining whether a record object identifier is included in the electronic activity, identifying a first record object of the system of record that includes an instance of the record object identifier, and storing an association between the electronic activity and the first record object. The method can include determining a second record object corresponding to the second entity, identifying, using a matching policy, a third record object linked to the second record object and identifying a third entity, and storing, by the one or more processors, an association between the electronic activity and the third record object.

An online concierge system trains a machine learning conversion model that predicts a probability of receiving an order from a user when the user accesses the online concierge system. The conversion model predicts the probability of receiving the order based on a set of input features that include price and availability information. For each access to the online concierge system, the online concierge system applies the conversion model to a current price and availability and to an optimal price availability. The online concierge system generates a metric as the difference between the two predicted probabilities of receiving an order.

A method for improving communications in a digital collaboration environment by receiving a communication directed to a first user, determining that the first user is unavailable, in response to determining that the first user is unavailable, determining a second user based on an attribute, and notifying the second user about the communication directed to the first user.

A method of managing in-service operation of a fleet of aircraft is provided that includes generating a schedule of flights through an air transportation network that includes airports, and that includes direct flight routes or flight connections between the airports. The method includes performing a fleet assignment of the fleet of aircraft to the schedule of flights based on availability metric values for respective aircraft of the fleet of aircraft, and dispatching the fleet of aircraft serve the schedule of flights to according to the fleet assignment. In this regard, performing the fleet assignment includes, for an aircraft of the fleet of aircraft, accessing reliability metric values for parts of the aircraft. Availability scores for the aircraft are determined based on the reliability metric values from respective ones of the data sources, and the availability scores are combined to determine an availability metric value for the aircraft.

A computer-implemented method for automating service provider status and reporting during a service visit includes the initial steps of creating a service provider transaction, initiating the transaction, and calculating an estimated completion time of the transaction. The estimated completion time is based on at least one service condition, which may include the availability of servicing tools and components, the availability of service provider employees, the priority status, if any, of the service provider transaction, and the level of difficulty of service provider transaction, among others. Preferably, the service conditions include constant or variable associated values. The completion time is calculated based upon a sum of these values. If an unexpected service need or service delay arises, the service provider transaction status is updated, which includes recalculating the estimated time of completion based on a new service condition that arose from the unexpected need or delay. When the service provider transaction is complete, the customer reviews the transaction, confirms that the service provider transaction is complete, and schedules a service completion event.

A system includes a memory and at least one processor to determine a location of each vehicle of a plurality of vehicles that have freight capacity, determine a distance of each vehicle to a location of each uncovered shipment of a plurality of uncovered shipments, determine an estimated time of arrival for each vehicle to arrive at the location of each uncovered shipment of the plurality of uncovered shipments, determine a particular vehicle of the plurality of vehicles having a highest score that is selected to service a particular uncovered shipment of the plurality of uncovered shipments, the highest score based on the distance, the estimated time of arrival, and a pick up time for the particular uncovered shipment, and transmit a notification to a computing device of an operator of the particular vehicle that indicates that the particular vehicle is selected to service the particular uncovered shipment.

An online concierge system trains a machine learning conversion model that predicts a probability of receiving an order from a user when the user accesses the online concierge system. The conversion model predicts the probability of receiving the order based on a set of input features that include price and availability information. For each access to the online concierge system, the online concierge system applies the conversion model to a current price and availability and to an optimal price availability. The online concierge system generates a metric as the difference between the two predicted probabilities of receiving an order.

A network based order fulfillment systems having an improved user interface at both a customer device and at an order fulfillment location employee device. Both customer and employee devices scan collect user input and other information using one or more sensors of the user devices to provide proper notifications to both the customer and the employee based on the actions of each. Location information for a customer computing device can be used to continually update ETA and time since arrival information displayed at the employee's computing device.

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.

A computer system for ranking potential attended delivery/pickup locations is disclosed. In various embodiments, a user or computer system identifies an area in which to establish at least one attended delivery/pickup location. In a particular embodiment, the system receives data associated with potential attended delivery/pickup locations (e.g., attended delivery/pickup location candidates), including the specific characteristics of those candidates. The system then, based at least in part on the characteristics of each of the attended delivery/pickup location candidates, ranks the attended delivery/pickup location candidates and displays the rankings to a user for use in selecting the most suitable candidate for the area.