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 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: 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, 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 computing device may receive, from a first user device, a communication indicating a request to create a combined order for items offered by one or more merchants. For example, the combined order may enable a plurality of users to independently purchase individual ones of the items from the one or more merchants. The combined order may be created having an initial condition and may be accessible by the plurality of users for adding items to the combined order. At least one selection of a respective item may be received from each user of the plurality of users. For instance, each selection may change the condition of the combined order. In addition, the computing device may process the items added to the combined order as a single order to perform at least one action.

Abstract: In some examples, a first device of a first buyer may receive a selection of a first item offered by a selected merchant. The first device may determine whether any second devices are within a threshold distance of the first device. Based on a second device being within the threshold distance, the first device may send, to the second device, a communication for creating a combined order. Receipt of the communication may cause the second device to present, to a second buyer, an interface for creating a combined order. The second buyer may use the second device to select a second item to order from the merchant. At least one of the first device or the second device may send combined order information to a service computing device, which may send the combined order to the merchant and schedule a courier to deliver the ordered items to the buyers.

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 first device associated with a first buyer may present information related to a plurality of merchants offering items for delivery. The first device may receive, as a first order, a selection of a first item offered by a selected merchant. The first device may determine that a second device is within a threshold distance of the first device, and may send, to the second device, a communication for creating a combined order, such as for dividing a delivery fee associated with the order. A second buyer may use the second device to select a second item to order from the selected merchant. At least one of the first device or the second device may send order information to a service computing device, which may send the combined order to the first merchant and schedule a courier to deliver the order to the buyers.