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: Systems, methods, and storage media for providing information relating to suspicious financial activities to investigative agencies are disclosed. Exemplary implementations may: receive a digital access token from a financial institution; cause an application programming interface to be displayed on a computing device corresponding to the financial institution in response to receipt of the digital access token; receive case information from the financial institution create a case corresponding to the access token and the case information; determine one or more relevant investigative agencies for receiving a report based on the case information; retrieve a data model corresponding to each relevant investigative agency; and file a Suspicious Activity Report based on the case information in each of the one or more relevant jurisdictions in correspondence with the access token.

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 receive, from a merchant device, merchant feedback communications related to a courier. The merchant feedback may correspond to one or more delivery orders picked up by the courier from a pickup location associated with the merchant. Further, the service provider may receive, from a courier device associated with the courier, feedback communications related to the merchant and corresponding to the one or more respective delivery orders picked up by the courier. Subsequently, the service provider may receive, from a buyer device, an order for delivery of an item from the merchant to a delivery location. In response, the service provider may select the courier to pick up the item from the pickup location and deliver the item to the delivery location based on the merchant feedback received from the merchant device and the courier feedback received from the courier device.

Abstract: Systems, methods, and storage media for providing information relating to suspicious financial activities to investigative agencies are disclosed. Exemplary implementations may: receive a digital access token from a financial institution; cause an application programming interface to be displayed on a computing device corresponding to the financial institution in response to receipt of the digital access token; receive case information from the financial institution create a case corresponding to the access token and the case information; determine one or more relevant investigative agencies for receiving a report based on the case information; retrieve a data model corresponding to each relevant investigative agency; and file a Suspicious Activity Report based on the case information in each of the one or more relevant jurisdictions in correspondence with the access token.

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 an indicated delivery location from a buyer device. The service provider may determine, e.g., based in part on traffic information, respective predicted courier travel times to the delivery location from one or more different merchant locations. The service provider may compare the respective predicted courier travel times with respective spoilage times for items offered by the corresponding one or more merchants, and may identify one or more items having respective spoilage times greater than the respective predicted courier travel time from that merchant location. The service provider may send, to the buyer device, information about items available for delivery from particular merchants having respective spoilage times greater than the predicted courier travel time from respective the merchant location. The buyer device may present the information about the items on a display to enable buyer selection of an item for delivery.

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 service may determine delivery timings based on a delivery location and at least one local condition, such as traffic. The system includes one or more buyer devices and a plurality of courier devices that communicate with a service computing device over a network. The buyer device and the courier devices provide geographic location information to the service, such as based on input from respective GPS receivers. The service may determine local traffic information based on tracking the courier movement, and may determine predicted travel times from the merchant pickup location to the delivery location, and from the buyer order location to the delivery location. Based on the predicted travel times and a preparation time for an ordered item, the service may manage timing for preparation and delivery of an item so that the courier's arrival at the delivery location approximately coincides with buyer's arrival.

Abstract: In some examples, a service provider may receive, from a buyer device, an order for an item from a merchant for delivery to a delivery location. The service provider may determine predicted courier travel times to the merchant location and from the merchant location to the delivery location, and may determine a first payment amount based on the predicted courier travel times. The service provider may further predict other courier time associated with the order, other than travel time, such as based on a courier wait time associated with the merchant. The service provider may determine a second payment amount based on the predicted courier other time. The service provider may send, to a courier device of a courier selected to deliver the order, information about the order including a payment amount for the order based on the first payment amount and the second payment amount.

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 service provider may receive an indicated delivery location from a buyer device. The service provider may determine, based at least in part on traffic information, respective predicted courier travel times to the delivery location from a plurality of different merchant locations. The service provider may compare the respective predicted courier travel times with respective spoilage times for items offered by the corresponding merchants, and may identify one or more items having respective spoilage times greater than the respective predicted courier travel time from that merchant location. The service provider may send, to the buyer device, information about items available to be ordered from particular merchants having respective spoilage times greater than the predicted courier travel time from respective the merchant location. The buyer device may present the item information on a display to enable buyer selection of an item for delivery.

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.