Abstract: The present disclosure relates to a robot configured to determine a delivery priority among a plurality of destinations based on weight information of an article, and a delivery method using such a robot. The robot may communicate with other electronic devices and a server in a 5G communication environment.

Abstract: Computer-implemented techniques and systems for generating vehicle profiles may include scanning a plurality of vehicles, each vehicle located at a respective vehicle location, identifying respective vehicle locations for each of the plurality of vehicles, based on scanning the plurality of vehicles, associating a vehicle identification tag for each vehicle with its respective vehicle location, interpreting a signal to determine a user location, determining that the user location is within a threshold distance from a first vehicle location of a first vehicle from the plurality of vehicles, providing a first vehicle identification tag corresponding to the first vehicle based on determining that the user location is within the threshold distance, generating a first vehicle profile based on the first vehicle identification tag, and providing the first vehicle profile to a user device.

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: The disclosed subject matter relates to a delivery system for returning a property item left in a transportation environment to a passenger of the transportation environment. A method can include determining a first waypoint based on a location of the property item, determining a second waypoint based on a pickup location identified by the passenger, constructing a delivery route between the first waypoint and the second waypoint in which the delivery route has at least one segment that corresponds with at least a portion of at least one selected trip from a plurality of trips to be carried out in the transportation environment, obtaining confirmation of acceptance of the delivery route from at least one participant of the at least one selected trip, and obtaining confirmation of delivery of the property item by the at least one participant and/or the passenger in accordance with the delivery route.

Abstract: One example of the present disclosure can include a system that can receive a first data set over a network from a first computing device, the first data set indicating user preference data and a first request for a shipping cost. The system can also receive a second data set over the network from the second computing device, the second data set indicating a first shipping cost generated by a shipping entity associated with the second computing device in response to the second request. Based on receiving the second data set, the system can determine a second shipping cost based on the user preference data and the first shipping cost. The system can then transmit the second shipping cost over the network to the first computing device, for example as part of a graphical user interface for display on the first computing device.

Abstract: A device may receive a request for a product from a first user device and may generate first verification information based on the request. The device may provide the first verification information to a second user device and may provide first information associated with the product to the second user device, where the first information includes location information corresponding to a pick-up location and a drop-off location. The device may provide second information associated with the product to a product delivery device to permit the product delivery device to authenticate the second user device. The device may receive a verification request from the first user device based on an interaction and may generate second verification information. The device may provide the second verification information to the first user device to permit the second user device to verify the first user device for delivery of the product.

Abstract: A computer-implemented logistics method of arranging delivering of items to recipients situated at different recipient locations, comprising: recording items received at a distribution centre, clustering the records according to location of the recipient, locating a hub position for each cluster, further clustering the records, creating an individual schedule for each agent with events and locations and timings for the events, and instructing the agent to deliver the items by providing individual schedule information.

Abstract: A system and method for assigning trip requests to schedules for a fleet of one or more available vehicles in a manner that allows for the comparison of the various possible schedules against a number of global factors. Trip requests are combined into packets and one or more packets that can serve as a root packet or a first packet to be serviced by a partial shift are determined. Schedules are determined for each of the one or more possible root packets. The schedules are ranked according to one or more global factors to select a schedule for the partial shift. By generating combinations of packets that can be assigned to partial shifts, the problem of combinatorial explosion is reduced such that alternative schedules can be compared against one or more quality metrics for the schedule.

Abstract: Features related to a system and method for scheduling a resources to perform discrete tasks are described. The scheduling features include generating schedules predicted to appeal to the tasked resource (e.g., delivery partner) such as by time, day of the week, location, item types, etc. Using machine learning, the schedule and terms thereof can be dynamically generated to suit the tastes of each tasked resource and the overall demand for services. Using historical data, the modeling also accounts for likelihood an offer will be accepted and risk of cancellation for a given resource. The machine learning may be based on a mixed integer problem as constrained by partner and system capacity parameters.

Abstract: Systems and methods of performing logistical management are provided. The logistical management system may receive a request to ship a package from an electronic device associated with a user. The request can include an initial location and information relating to one or more characteristics of the package. In response to receiving the request, electronic data store may be queried to determine a set of possible itineraries for the package. The set of possible itineraries can then be validated against a set of pre-determined rules to produce a subset of itineraries. One of the subset of itineraries can then be chosen.

Abstract: Implementations of a computer implemented method and system to transform transportation and freight and parking and tolling and curb management and transportation management association unit securities or derivative unit securities or unitization structure capacity units with two waypoints or a destination waypoint or a series sequence of waypoints into multi-modal objects which are tradable as commodities such as wheat, oil, corn, stocks, foreign exchange, fixed income or other forward or securitized markets. The present disclosed invention relates to combining the concepts of objected oriented programming and navigation systems and social networking, price-time priorities queues, replacement costs, termination valuations, financial markets, commodity structuring transformation and transportation and freight and parking and tolling and curb management and transportation management association unit securities or derivative unit securities or unitization structure as a fungible asset class or tradable market.

Abstract: Various embodiments provide systems and methods for facilitating synchronized delivery of shipments/items scheduled to be delivered to multiple serviceable points located nearby one another. Various embodiments identify nearby serviceable points based on an identification of serviceable points being located along a common street segment. Accordingly, serviceable point data identifying corresponding street segment identifiers are stored for a plurality of serviceable points. Thereafter, shipping data for a first shipment to be delivered to a first serviceable point is received, and a determination is made whether a second shipment scheduled to be delivered to a second serviceable point is available for synchronized delivery with the first shipment. The determination comprises determining whether the street segment corresponding to the first serviceable point is the same as and/or is connected to the street segment corresponding to the second serviceable point.

Abstract: Systems and methods for providing a vehicle service are provided. In one example embodiment, a computer-implemented method includes receiving data indicative of a service request to provide a vehicle service for an entity with respect to one or more cargo items designated for autonomous transport. The method includes obtaining a first cargo item among the one or more cargo items, from a representative of the entity at a dedicated first transfer hub proximate to a first location associated with the first cargo item. The method includes controlling a first autonomous vehicle to transport the first cargo item from the first transfer hub to a dedicated second transfer hub proximate to a second location associated with the first cargo item. The method includes providing the first cargo item to a representative of the entity at the second transfer hub, to provide the vehicle service.

Abstract: Systems, computer programs, and methods for coordinating automated components and employee activities to facilitate fulfillment of orders for items and/or services sold by retailers and made available for delivery or pick-up at a retail location are provided. In some embodiments, the methods comprise: receiving an order; selecting a preferred source location for each retail item in the order; preparing a first portion of the order at a fulfillment center; preparing a second portion of the order at a first store; preparing a third portion of the order at a second store; combining the first and second order portions and loading the combined order portions onto a transportation vehicle for transfer to the second store; and assembling the order including the first, second, and third order portions at the second store.

Abstract: A system and methods for network-enabled cannabis product delivery and driver release of funds, comprising at least a plurality of network-enabled portals for data entry, legality and identification checks, and more, allowing a user to order delivery of cannabis products from local retailers using third-party drivers that register with the system, for compensation, and allowing for feedback and automated communication between a retailer, driver, and customer using the system, with a driver being able to release funds to a retail outlet after pickup of the order.

Abstract: Generally, embodiments of the present invention provide systems and methods that can identify the location of a consignee and propose one or more alternative delivery location(s). The proposed delivery location may be based on the current location of the consignee, current address on the package to be delivered, information located in a social network (private or public), “to-be” location as determined by the consignee which would be transmitted to the carrier and/or a predicted consignee location. In other embodiments, the consignee or “carrier” may suggest an alternative fixed location or alternative mobile location. In some embodiments, the consignee may indicate an alternative recipient of the item.

Abstract: There is disclosed a method of staging real-time data in proximity to a mobile device. The method includes determining a geographic location associated with the mobile device and identifying a storage device located in proximity to the determined geographic location. The method also includes enabling real-time data published by the mobile device or provided to the mobile device to be stored on the identified storage device.

Abstract: A management system for managing the utilization of item receptacles in a distribution network. Items can be transferred to recipients at a limited number of item receptacles in unit delivery facilities of the distribution network. Item retrieval behavior is tracked to determine a recipient score for known recipients. Based on the recipient scores, subsequent items to be transferred can be placed in a receptacle or a storage area based on the associated recipient score. Placement in receptacles can be prioritized to recipients with low scores indicating that the item will likely be retrieved quickly, while items addressed to recipients with high scores may not be placed into a receptacle if receptacles are scarce.

Abstract: A network computer system operates to receive service requests from requesters. Based at least in part on a proximity between the current locations of a first and a second requester, the system can match the first service request and the second service request by (i) selecting pickup locations for the first and second requesters, (ii) transmitting rendezvous information to the computing devices of the first and second requesters, (iii) determining an estimated time interval for each of the first requester and the second requester to arrive at their pickup locations, and (iv) selecting a transport provider to service both the first transport request and the second transport request.

Abstract: A method for controlling a vehicle that has a cleaning device. The method includes: receiving, from a terminal, reservation information for a cleaning operation performed by the cleaning device located in the vehicle; transmitting, based on the received reservation information, one or more first operation commands that control the vehicle to move to a location associated with the received reservation information and enables the cleaning device located in the vehicle to perform the cleaning operation; receiving, from the vehicle and based on completion of the cleaning operation performed by the cleaning device located in the vehicle, a completion message; and handling control of the vehicle and the cleaning device located in the vehicle based on the received completion message.

Abstract: A shipment distribution system and method are presented. The system includes a plurality of goods shipments, one or more delivery vehicles, a tour planning system and a navigation system operating in each delivery vehicle and communicatively linked to the tour planning system. Each goods shipment has a destination address for delivery. Each of the delivery vehicles has a cargo area divided into loading zones. The tour planning system stores a volume of the cargo area of each delivery vehicle. The tour planning system transmits to the navigation system calculated tour routes to deliver each of the goods shipments to corresponding destination addresses according to the positions of the goods shipments in the cargo area and the destination address. Upon arrival at the destination address for each goods shipment, the tour planning system indicates the loading zone in the cargo area storing the goods shipment for delivery.

Abstract: Systems and techniques are disclosed that provide device-based coordination of multi-party delivery processes. One example implementation involves receiving a payer-invite request from a requester device. The payer-invite request requests an invitation be sent to a payer to pay for a delivery order. The delivery order specifying one or more items to be purchased and delivered to a requester location associated with the requester device or inputted by the requester. The system sends the invitation to a payer device associated with the payer and receives a payment from the payer device. The system fulfills the delivery order by identifying a fulfillment center, a driver, and/or a puller and sending communications with order information and instructions to the devices of those parties to coordinate the delivery. For example, the system sends a driving instruction to a driver device instructing the driver to pick up and deliver the items.

Abstract: A server receives an order request from a consumer device where the order request is be provisioned to a recipient at a later time and where the recipient is required to be physically present receive the order. The order request also includes a request location and a request time. As a function of the information, the method determines an estimated time to complete the order request. The method further sends a confirmation request to the consumer device requesting a confirmation response within a predetermined time. After an expiration of the predetermined time, the method completes a transaction for the order request and receives the confirmation response from the consumer device after the expiration of the predetermined time. The method sends a notification to the consumer device indicating the estimated time to complete the order request for the recipient to receive the order request.

Abstract: Disclosed herein are systems and methods for managing exceptions to orders collected by autonomous vehicles. The exemplary systems may be configured to receive an indication of an exception that at least one item for an order cannot be collected with a first autonomous vehicle carrying a container associated with the order and determine a reconfigured path for the first vehicle responsive to receiving the indication of the exception. The reconfigured path may include a stop at a storage location configured to store containers associated with the exception. The systems may be configured to receive an indication that the container was removed from the first vehicle and deposited at the storage location, transmit an instruction to a second autonomous vehicle to collect the at least one item for the order, and receive an indication that the at least one item has been matched with the container deposited at the storage location.

Abstract: A method includes: for each of a delivery source and each of plural delivery destinations to which goods are delivered, receiving distance information indicating a distance between points, delivery amount information indicating a total delivery amount of the goods to each of the plural delivery destinations, and maximum delivery amount information indicating a maximum delivery amount per delivery; calculating a first cost to deliver the goods for the total delivery amount from the delivery source to each of the plural delivery destinations while setting the maximum delivery amount indicated by the maximum delivery amount information; calculating a second cost to deliver the goods for the total delivery amount from the delivery source to each of the delivery destinations; executing selection processing for selecting a delivery destination by using the first cost and the second cost; and creating a delivery plan by using a result of the selection processing.

Abstract: Disclosed are systems and methods to determine preferred delivery points within a parcel that are available to receive an aerial delivery of an item. For each delivery point a plurality of criteria scores may be determined for various criteria based on a processing of parcel data, image data, and/or sensor data corresponding to the parcel. The criteria may be aerial navigation related criteria or user preference criteria. The criteria scores may then be used to determine a suitability score for each delivery point. In some implementations, a user may specify a preferred delivery point and/or indicate one user criteria as more important than another criteria.

Abstract: Systems and methods for using machine learning to estimate courier arrival times are described herein. According to an embodiment, a server computer receives a request to deliver to a requester prepared items associated with a preparation entity. The server additionally receives courier data identifying available couriers within the geographic region of the preparation entity and current request data identifying current requests to deliver prepared items from a plurality of entities in the geographic region. The server uses a trained machine learning system to compute an estimated pickup time, using at least the courier data and courier request data as inputs. The server computer then routes a preparation request to the preparation entity along with the estimated pickup time.

Abstract: In some embodiments, a computer-based, pickup and delivery system is configured to perform a pickup/delivery route optimization and dispatch optimized route information to client applications. The optimization may include optimizing the routes for servicing multiple delivery and/or pickup stops. The optimization may also include optimizing the route navigation along the routes from one location to another. The optimized navigation may include generating a destination mapping throughout, for example, an apartment complex or a business park, and determining conveniently located parking to be used to park delivery vehicles, conveniently located staircases, conveniently located elevators, access codes to the secured gates and lockboxes, and the like.

Abstract: A shipping management system comprises a memory configured with a set of carrier-specific mapping rules for a plurality of carriers.

Abstract: Provided is a delivery assistance device enabling shortening of the time required for delivery in purchase of an item by online shopping. This delivery assistance device is provided with: management means for managing stock information about stock of an item held by each of a plurality of traveling vehicles; first reception means for receiving current position information indicating a current position of the traveling vehicle; first transmission means for transmitting the stock information to a customer terminal; second reception means for receiving order information and delivery address information; specification means for specifying a traveling vehicle arriving earliest at the delivery address; and second transmission means for transmitting the order information to the specified traveling vehicle, wherein the management means updates the stock information about stock of an item held by the specified traveling vehicle, based on the order information.

Abstract: A method and a system for allocating a vehicle to a user are provided. An availability of a vehicle is detected in a geographical location for an allocation. Based on the historical travel data or a real-time travel-related intention of a set of users in the geographical area, a user is identified from the set of users. A notification message is transmitted to a user device of the identified user based on the detected availability of the vehicle in the geographical area. A user response message is received from the user device in response to the transmitted notification message. Based on the received user response message associated with the selected user, the vehicle is allocated to the selected user for a ride.

Abstract: A processing system for processing objects using a programmable motion device is disclosed. The processing system includes a perception unit for perceiving identifying indicia representative of an identity of a plurality of objects received from an input conveyance system, an acquisition system for acquiring an object from the plurality of objects at an input area using an end effector of the programmable motion device, wherein the programmable motion device is adapted for assisting in the delivery of the object to an identified processing bin, and the identified processing bin is associated with the identifying indicia and said identified processing location is provided as one of a plurality of processing bins, and a delivery system for bringing the identified processing bin toward the object, where the delivery system includes a carrier for carrying the identified processing bin toward the object.

Abstract: Provided are a computer program product, system, and method for determining secondary locations for fulfilment of items by a fulfilment system. A request is received for an item from a user. A primary location of the user is determined. User information in a data source is processed by a natural language processing module to determine whether the user has travel plans to a secondary location for a travel time period that includes an expected delivery date of the item to the secondary location. A determination is made of a secondary attribute of the item associated with the secondary location. A graphical user interface is generated with graphical elements visually representing a first attribute of the primary location, the determined secondary attribute, and computer commands to invoke a workflow to deliver the item to at least one of the primary location and the secondary location.

Abstract: An occupancy database is in electronic communication with a plurality of location-specific distributed computing entities to maintain real-time update occupancy data for various entities. As those entities relocate from one location to another (e.g., moving from one apartment to another), distributed computing entities associated with both the prior and new location of the entity transmit information to the occupancy database to reflect the changed location for the entity. The occupancy database also maintains communication data for the entities and/or locations associated with the entities, and the occupancy database may share that communication data with authorized mobile/user computing entities to enable communication between those authorized mobile/user computing entities and the particular entity or devices located at the entity's location.

Abstract: An operating method of an electronic apparatus including: identifying at least one fulfillment center based on a user input; identifying delivery plan information related to the at least one fulfillment center, a courier allocation condition corresponding to the at least one fulfillment center, and work information of each of a plurality of registered couriers; and allocating at least one among the plurality of couriers to the at least one fulfillment center based on the delivery plan information, the courier allocation condition, and the work information and an electronic apparatus are provided.

Abstract: Customized navigation maps of an area are generated for autonomous vehicles based on a baseline map of the area, transportation systems within the area, and attributes of the autonomous vehicles. The customized navigation maps include a plurality of paths, and two or more of the paths may form an optimal route for performing a task by an autonomous vehicle. Customized navigation maps may be generated for outdoor spaces or indoor spaces, and include specific infrastructure or features on which a specific autonomous vehicle may be configured for travel. Routes may be determined based on access points at destinations such as buildings, and the access points may be manually selected by a user or automatically selected on any basis. The autonomous vehicles may be guided by GPS systems when traveling outdoors, and by imaging devices or other systems when traveling indoors.

Abstract: Various embodiments are directed to systems and methods for engaging a service provider to perform a delivery service to redirect a shipment to be delivered to an alternative intended destination upon receipt of a redirection request. Based on a monitored current location of a last mile delivery vehicle scheduled to deliver the shipment to an initial intended destination, a computing entity monitors the location of available service providers capable of meeting the last mile delivery vehicle to pick up the shipment and transport the shipment to the alternative intended destination. The computing entity may engage one of the service providers by transmitting a signal to a mobile computing entity carried by the service provider and may monitor the service provider's progress in meeting the last mile delivery vehicle and transporting the shipment to the alternative intended destination.

Abstract: The present disclosure relates assigning ride requests to providers based on the probability that a provider will accept the request. For example, one or more embodiments identify a first provider to assign the ride request. The system then generates a probability of acceptance for that provider. The system then determines an estimated time-to-arrival for the first provider and an alternate estimated time-to-arrival associated with a re-assigned provider. Based on the acceptance probability, the estimated time-to-arrival, and the alternate estimated time-to-arrival, the system then determines an expected time-to-arrival associated with the first provider. The system assigns ride requests to providers based on optimizing the expected time-to-arrival across multiple potential providers for a ride request.

Abstract: A network system managing an on-demand service within a geographic region can receive, over a network, multi-user request data corresponding to a request for service for a plurality of users. The request data can indicate one or more start locations, a plurality of users, and one or more service locations. In response to receiving the request data, the network system can select a set of service providers from a plurality of candidate service providers in the geographic region to provide the requested service. The service providers can be selected based on optimizations of one or more service parameters including estimated fares for the plurality of users, ETAs to the start location, ETAs to the service locations, etc. The network system can further determine routes for the set of service providers from their respective locations to the start or service location(s) and from the start or service location(s) to the respective start or service location(s).

Abstract: A cyber-physical device management system may allow for highly reliable and authentic identity management of cyber-physical systems, unforgeable legal interception devices, and robust relay nodes. A cyber-physical device management system may also provide for human and object bi-directional authenticity verification. In some cases, a cyber physical management system may enable a cyber physical vehicle (CPV) detection and intervention system which may be capable or detection, identification, capture, seizure, and immobilization of CPVs. In some embodiments the CPV detection and intervention system includes a geocoding laser subsystem for determining a location of a CPV.

Abstract: A system and method is disclosed of extracting information from real-time network packet data to analyze connectivity data for client devices in a network. The method includes: detecting when client devices initiate a connectivity event; after detecting a connectivity event, waiting a period of time for the client device to either reach or fail to reach a network connected state; after waiting a period of time, recording connectivity event information; and sending the recorded connectivity event information to an analytics system for network incident and/or network congestion analysis.

Abstract: A method including receiving, in a server, a selection of a first recipient from a group of contacts in a database for a package from a user, is provided. The method includes scheduling a delivery of the package to a first mailing address, providing a code configured to be scanned by a second recipient to indicate that the first recipient is not available at the first mailing address, and triggering a first notification to be sent to the first recipient when the code is scanned. The method includes receiving, from a first client device associated with the first recipient, a second mailing address of the first recipient in response to the first notification, and scheduling a pickup of the package to be shipped to the second mailing address. A system and a non-transitory, computer-readable medium storing instructions to perform the above method are also included.

Abstract: A computer-implemented method for managing a food delivery process, according to one embodiment, includes receiving a food product history for each type of food product stored in each of a plurality of product containers. At least one of the food products is predestined for a first destination that is different than a second destination of another of the food products. Each food product history includes: an expiration date of the associated food product, storage time information, storage condition information, and temperature history. The food product history is used to determine a prioritized delivery scheme for the product containers. The prioritized delivery scheme is sent to an individual transporting the product containers and/or to a dispatcher.

Abstract: Features related to a system and method for scheduling a resources to perform discrete tasks are described. The scheduling features include generating schedules predicted to appeal to the tasked resource (e.g., delivery partner) such as by time, day of the week, location, item types, etc. Using machine learning, the schedule and terms thereof can be dynamically generated to suit the tastes of each tasked resource and the overall demand for services. Using historical data, the modeling also accounts for likelihood an offer will be accepted and risk of cancellation for a given resource. The machine learning may be based on a mixed integer problem as constrained by partner and system capacity parameters.

Abstract: An autonomous vehicle for delivery of items can detect its location and the location of targets on item receptacles in order to position the vehicle at a receptacle. The vehicle, in an autonomous mode, can automatically travel between delivery points along a delivery route. A presence sensor on the vehicle can detect ingress and egress from the vehicle to determine when the vehicle is ready to travel to the next delivery point.

Abstract: A method and system for filtering service requests by destination and deadline are described. A network computer system receives provider data corresponding to a specified destination and a deadline from a service provider. The network computer system tracks a current location of the service provider through a device equipped with one or more location-based resources and receives request data corresponding to requests for service from users. The network computer system analyzes the request data for each of the requests for service to identify a subset of the requests that are assignable to the service provider based on whether the service provider is able to fulfill the request and travel to the desired destination before the deadline. The network computer system transmits a message to the service provider's device requesting that the service provider fulfill one of the requests for service from the identified subset.

Abstract: A device can receive a request for a schedule that assigns a fleet of vehicles to a set of deliveries. The device can determine that a parameter is not included in the request that is needed to generate a new schedule or that is needed to generate an existing schedule. The device can obtain the parameter using a historical user request, a historical schedule, or a scheduling template. The device can generate or obtain the schedule based on information included in the request and the obtained parameter. The device can provide the schedule to a user device and/or to one or more devices associated with the fleet of vehicles carrying out the set of deliveries. The device can modify the schedule based on a trigger. The device can provide the modified schedule to the user device and/or to the one or more devices associated with the fleet of vehicles.

Abstract: Systems and methods for public transport infrastructure facilitated drone delivery are provided. In example embodiments, a request to deliver a package to a drop-off destination using a drone is received. Public infrastructure information is accessed. A public infrastructure terminal from which the drone delivers the package is identified based on the public infrastructure information. An instruction is communicated to transport the package to the identified public. A drone delivery route from the identified public infrastructure terminal to the drop-off destination is determined based on the public infrastructure information. An instruction to deliver the package using the drone delivery route is communicated to the drone.

Abstract: A system and a method are provided for determining a preliminary route. The demand information of one or more transportation services is received from a plurality of passengers, the demand information of each of the plurality of passengers including a start and a destination; determine a plurality of preliminary stop areas based on the plurality of starts and the plurality of destinations; determine at least one preliminary route passing through the plurality of preliminary stop areas.

Abstract: A computer system can detect a trigger in connection with an activity performed by a service provider, and determine (i) a first content item associated with the detected trigger and a second content item associated with the detected trigger, and (ii) select a set of service parameters relating to a service session of the service provider based on the first content item and the second content item. Additionally, the computer system can obtain feature data of the first content item and the second content item. Based on the feature data of the first content item and the second content item, the computer system can determine that a corresponding graphical representation of the first content item and of the second content item overlap for a given time interval. Based on a set of prioritization rules, the computer system can select one of the first or second content item and generate the corresponding graphical representation of the selected one of the first or second content item for the given time interval.