Abstract: In some examples, a processor may access past order information for a plurality of merchants to determine, for an upcoming time period, a number of orders predicted to be received by the merchants. The processor may determine geographic locations of delivery agent devices, each associated with a respective delivery agent. The processor may compare, for the upcoming time period, a number of active delivery agents with the number of orders predicted to be received. Based at least on determining a predicted shortage of active delivery agents for the upcoming time period, the processor selects a first delivery agent of the plurality of delivery agents to pick up a first order from a first pickup location of a first merchant and a second order from a second pickup location of a second merchant, and sends a message to a first delivery agent device associated with the first delivery agent.

Abstract: In some examples, a computing device may receive, from a plurality of merchant devices associated with a plurality of merchants, respectively, electronic communications indicating pickup locations associated with the respective merchants. The computing device may access map information to determine a group of the respective pickup locations within a threshold distance of each other, the group of respective pickup locations corresponding to a group of the merchants. The computing device may send, to a buyer device, based at least on the pickup locations determined to be within the threshold distance of each other, merchant information that causes, at least in part, an application on the buyer device to present a user interface including information about the group of merchants, the information about the group of merchants including an indication that items ordered from the merchants in the group of merchants are available for combined delivery.

Abstract: In some examples, a processor may access past order information for a plurality of merchants to determine, for an upcoming time period, a number of orders predicted to be received by the merchants. The processor may determine geographic locations of delivery agent devices, each associated with a respective delivery agent. The processor may compare, for the upcoming time period, a number of active delivery agents with the number of orders predicted to be received. Based at least on determining a predicted shortage of active delivery agents for the upcoming time period, the processor selects a first delivery agent of the plurality of delivery agents to pick up a first order from a first pickup location of a first merchant and a second order from a second pickup location of a second merchant, and sends a message to a first delivery agent device associated with the first delivery agent.

Abstract: Some examples include a processor that accesses past order information for a plurality of past orders received in the past for a plurality of merchants and delivered by delivery agents. Further, for an upcoming time period, based on the past orders received by individual merchants over a past period of time, the processor may determine a predicted number of orders to be received for an upcoming time period for the individual merchants. The processor may execute delivery agent management logic to compare, for the upcoming time period, a number of active delivery agents with the predicted number of orders, and may send a message to a first delivery agent device associated with a first delivery agent to cause one of: activation of the first delivery agent from inactive status to active status, or deactivation of the first delivery agent from active status to inactive status.

Abstract: In some examples, a computing device may receive, from a plurality of merchant devices associated with a plurality of merchants, respectively, electronic communications indicating pickup locations associated with the respective merchants. The computing device may access map information to determine a group of the respective pickup locations within a threshold distance of each other, the group of respective pickup locations corresponding to a group of the merchants. The computing device may send, to a buyer device, based at least on the pickup locations determined to be within the threshold distance of each other, merchant information that causes, at least in part, an application on the buyer device to present a user interface including information about the group of merchants, the information about the group of merchants including an indication that items ordered from the merchants in the group of merchants are available for combined delivery.

Abstract: Some examples include a processor that accesses past order information for a plurality of past orders received in the past for a plurality of merchants and delivered by delivery agents. Further, for an upcoming time period, based on the past orders received by individual merchants over a past period of time, the processor may determine a predicted number of orders to be received for an upcoming time period for the individual merchants. The processor may execute delivery agent management logic to compare, for the upcoming time period, a number of active delivery agents with the predicted number of orders, and may send a message to a first delivery agent device associated with a first delivery agent to cause one of: activation of the first delivery agent from inactive status to active status, or deactivation of the first delivery agent from active status to inactive status.

Abstract: In some examples, a service provider may determine that multiple merchants are within a threshold distance of each other. The service provider may send, to a buyer, item information about items offered by the multiple merchants. Further, based at least in part on the multiple merchants having been determined to be within the threshold distance of each other, the item information sent to the buyer may indicate that orders for items provided by the multiple merchants are available for combined delivery, e.g., as a single combined order. A first courier stationed near the merchants may pick up the items from the merchants and may handoff the items to a second courier who delivers the items to the buyer. Additionally, in some cases, the preparation of the multiple items may be timed to so that the items are ready for pickup at approximately the same time.

Abstract: In some examples, a service provider may determine, for a time of day and a day of a week, orders received by individual merchants of a plurality of merchants over a past period of time. The service provider may further determine, for the time of day and day of the week, based at least in part on the orders received over the past period of time, a first merchant predicted to receive an order. Based at least in part on a pickup location of the first merchant, the service provider may send a communication to a first courier device associated with a first courier of a plurality of couriers. For example, the communication may include location information for a recommended location to which the first courier is to move to be in position for picking up an order from the merchant that is predicted to receive the order.

Abstract: In some examples, a service computing device may receive, from respective mobile devices of a plurality of mobile devices, an indication of a communication availability condition of each respective mobile device. The service computing device may determine, for a delivery job, based at least in part on the indication of the communication availability condition received from each of the respective mobile devices, that a first mobile device of the plurality of mobile devices is likely to have a greater communication availability for a duration of the delivery job than a second mobile device of the plurality of mobile devices. Based at least partially on the determination, the service computing device may send, to the first mobile device, a communication to assign the delivery job to a courier associated with the first mobile device.

Abstract: In some examples, a service provider may determine, for a time of day and a day of a week, orders received by individual merchants of a plurality of merchants over a past period of time. The service provider may further determine, for the time of day and day of the week, based at least in part on the orders received over the past period of time, a first merchant predicted to receive an order. Based at least in part on a pickup location of the first merchant, the service provider may send a communication to a first courier device associated with a first courier of a plurality of couriers. For example, the communication may include location information for a recommended location to which the first courier is to move to be in position for picking up an order from the merchant that is predicted to receive the order.

Abstract: In some examples, a service provider may receive, from a buyer device, a first order for a first item to be prepared by a first merchant. The service provider may determine a second item offered by the first merchant, or another merchant, that can be added on to the first order by determining a preparation time for the first item, and determining that the second item offered by the first merchant, or the other merchant, has a preparation time less than the preparation time for the first item. The service provider may further determine a threshold time for ordering the second item based on a difference between the preparations time for the first item and the second item. The threshold time may be presented on the buyer device to indicate an amount of time the buyer has to add the second item to the first order.