Abstract: The information processing device of the present disclosure is included in a delivery system that delivers a package delivered to an intermediate delivery point in a specific area to a final delivery destination in the specific area. The information processing device includes a control unit that determines a logistics robot that delivers a package from an intermediate delivery point to a final delivery destination, and performs a process of acquiring or generating authentication information for confirming authenticity of the logistics robot and that is used when the logistics robot receives a package from a vehicle that has delivered the package to an intermediate delivery point, and transmitting the authentication information to a vehicle-side system before the logistics robot receives the package.

Abstract: The present application discloses systems, methods, and computer-readable media that can dynamically control a number of provider devices operating in a prioritized-dispatch mode by determining a range of prioritized-dispatch-mode slots for a target time based on differences between value metrics received by provider devices operating in multiple dispatch modes and sending availability nudges to provider devices based on the range of prioritized-dispatch-mode slots. For instance, the disclosed systems can generate a threshold-noticeable-value difference between historical value metrics received by provider devices while operating in a prioritized-dispatch mode and in a basic-dispatch mode. Based on the threshold-noticeable-value difference, the disclosed systems determine a range of slots for the prioritized-dispatch mode during a target time period for a geographic area.

Abstract: A logistics management system includes a memory that stores operation record information indicating a record of each of users operating an unmanned vehicle and a circuitry. The circuitry is configured to specify, when the unmanned vehicle moves on a carrying route that includes carrying points, a user who operates the unmanned vehicle at each of the carrying points, obtain the operation record information corresponding to the specified user, and specify, based on the operation record information, an estimated operation time for each of the users to operate the unmanned vehicle and determine a carrying sequence using the estimated operation time. The carrying sequence is a sequence in which the unmanned vehicle moves between the carrying points on the carrying route.

Abstract: A management apparatus includes a controller configured to manage a storage mobile object that is configured to store a stored mobile object. The stored mobile object includes a first mobile object that is stored in the storage mobile object and a second mobile object that is not stored in the storage mobile object. The controller is configured to instruct the storage mobile object to transport the first mobile object while maintaining the first mobile object.

Abstract: A method of optimizing a delivery route for a delivery vehicle driver and a delivery assistant includes: identifying a delivery route for a delivery vehicle; determining, for each of the packages to be delivered using the delivery route, a first delivery time for a delivery vehicle driver of the delivery vehicle to deliver the respective package without the delivery assistant, a second delivery time for a delivery assistant of the delivery vehicle to deliver the respective package without the delivery vehicle driver, and a third delivery time for both the delivery assistant and the delivery vehicle driver to deliver the respective package; determining minimum times needed by the delivery vehicle driver and the delivery assistant to deliver the packages using the delivery route; and determining that a minimum of the estimated total delivery times corresponds to a first subset and a second subset of the packages.

Abstract: Devices, systems, and methods are provided for enhanced rider pairing of an autonomous vehicle (AV). A system may pair a first user profile of a first user located at a first location with a first autonomous vehicle (AV) to complete a trip to a destination selected by the first user. The system may detect a second AV at the first location, wherein the second AV is associated with a second user profile. The system may connect the second AV with the first user using a connection mechanism. The system may select a profile status of the first user profile based on the connection to the second AV. The system may pair the first user profile with the second AV based on the profile status.

Abstract: A method for dynamically rearranging one or more packages for delivery on a delivery vehicle in response to unforeseen changes in a pre-planned delivery route. The method detects, via one or more sensor-enabled shelves in a delivery vehicle, an address and package details of a respective delivery package. The method further integrates the one or more sensor-enabled shelves with a route map that depicts the pre-planned delivery route. The method further assigns new values to the one or more sensor-enabled shelves, in response to a change in the pre-planned delivery route, indicating a new sequence of delivery for each respective delivery package. The method further notifies a delivery person which delivery package is to be delivered at a current stop by illuminating the one or more sensor-enabled shelves containing the respective delivery package.

Abstract: A vehicle routing system includes a vehicle routing and analytics (VRA) computing device, one or more databases, and one or more vehicles communicatively coupled to the VRA computing device. The VRA computing device is configured to generate an optimal route for a vehicle to travel that maximizes potential revenue for operation of the vehicle, the optimal route including a schedule of a plurality of tasks, and generate analytics associated with operation of the vehicle. The VRA computing device is further configured to provide a management hub software application accessible by vehicle users associated with vehicles, tasks sources, and other users.

Abstract: Network management systems and associated methods are described for providing intent-driven management of networks using one or more compilers. An intent identifying an expectation for behavior in a network and entity associations for the intent may be received at a compiler. The compiler may determine one or more artifacts for the respective entities based on the intent. The compiler may output instructions based on the artifacts for the consumers. The instructions may be in a language and/or format corresponding to the consumers.

Abstract: Provided is an electronic apparatus for location recommendation and an operation method thereof. The operation method includes receiving a placement request regarding a target item in a zone, upon the placement request, recognizing, based on information on the target item, a plurality of locations available for placement of the target item, based on the information on the target item and information on the plurality of locations, recognizing at least one location suitable for placement of the target item among the plurality of locations, and providing information on the at least one location.

Abstract: An information processing device determines whether or not an emission amount of a greenhouse gas generated for delivering a package to a predetermined user satisfies a predetermined criterion, based on first data related to a delivery of the package, and generates information on the emission amount to be presented to the user in a case where the predetermined criterion is satisfied.

Abstract: A system including one or more processors and one or more non-transitory computer-readable media storing computing instructions configured to run on the one or more processors and perform: receiving historical delivery records over a predetermined time period from partners associated with items offered to subregions through an online platform; generating nodes for combinations each comprising a respective one of the partners, a respective one of the items offered by the partners, and a respective one of the subregions; generating, using a machine learning model, a respective classification for each respective node on whether to tag the each respective node as deliverable in a predetermined time window; and automatically tagging a portion of the nodes as deliverable in the predetermined time window in the online platform. Other embodiments are disclosed.

Abstract: A system including one or more processors and one or more non-transitory computer-readable media storing computing instructions configured to run on the one or more processors and perform: generating a feasible dock-out plan designed to deliver one or more orders to one or more physical stores based on a feasible route plan by: generating a preliminary dock-out time boundary based on one or more delivery time windows; determining an earliest dock-out time based at least in part on the preliminary dock-out time boundary and a backward search; and determining a latest dock-out time based at least in part on the preliminary dock-out time boundary and a forward search; and transmitting a range of dock-out times comprising (i) the earliest dock-out time and (ii) the latest dock-out time to a user. Other embodiments are described.

Abstract: A protective carbon dioxide (CO2) emissions minimization system executing on a unified endpoint management platform information handling system may comprise a network interface device to receive operational telemetry measurements for a client information handling system including a non-eco-friendly state transition threshold value, a neural network modeling a relationship between changes in CO2 emissions values and operational telemetry measurements to predict that a user-adjustable operational telemetry measurement will cause a future determined CO2 emissions value for the client information handling system exceeding the non-eco-friendly state transition threshold value, a hardware processor to identify a remediation user instruction predicted to change operation of the client information handling system, causing a change in the user-adjustable operational telemetry measurement to prevent the future determined CO2 emissions value from exceeding the non-eco-friendly state transition threshold value, and the n

Abstract: Systems and methods for informed mobility platform for a customer service supervisor within a distribution facility are disclosed. One embodiment may be a supervisor mobile terminal including a transceiver circuit, a user interface and a controller. The transceiver circuit may wirelessly communicate with a server computer a plurality of sets of data relating to the customer service activities. The user interface may display at least one set of the plurality of sets of data and receive an instruction to modify the at least one set of data the plurality of sets of data. The controller may control the user interface to modify the at least one set of data based on the instruction and control the transceiver circuit to wirelessly communicate the modified data with the server computer such that the at least one set of data stored in the server computer is updated with the modified data.

Abstract: A controller for delivering an item is provided. The controller includes one or more processors, one or more memory modules, and machine readable instructions stored in the one or more memory modules. The controller is configured to determine a location or a traveling schedule of a first vehicle and a location of a second device, determine a zone where the first vehicle and the second device are expected to be proximate each other based on traffic information, the location or the traveling schedule of the first vehicle, and the location of the second device, instruct the first vehicle to move to the zone, and instruct the second device to transfer an item to the first vehicle in response to determining that the first vehicle and the second device are proximate each other at the zone.

Abstract: According to one embodiment, an information processing apparatus includes processing circuitry. The processing circuitry is configured to combine a sell condition under which a first dealer sells a product and a buy condition under which a second dealer buys the product on a basis of information of a first transport medium to transport the product, and generate matching information including the sell condition and the buy condition combined each other; and assign a transport of the product to the first transport medium by associating the transport with the first transport medium and perform scheduling of the transport on a basis of the matching information.

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: According to one embodiment, an information processing apparatus according to an embodiment includes an extractor 7 configured to extract a representative point that appears at a rate higher than or equal to a predetermined appearance rate, based on a point included in package historical data recorded when a package is delivered and a delivery plan creator 8 configured to create a first delivery plan with respect to the representative point.

Abstract: A method including planning delivery routes using clustering. The method can include generating clusters for nodes for order data based, at least in part, on (a) location information of the nodes and (b) load capacity information of delivery vehicles. The method also can include determining a respective centroid for each of the clusters. Further, the method can include computing a node-cluster distance matrix. Additionally, the method can include reassigning the nodes to the clusters based, at least in part, on: (a) the node-cluster distance matrix; (b) load capacity information of dispatched vehicles of the delivery vehicles; and (c) a predetermined average load threshold of the dispatched vehicles. Moreover, the method can include further reassigning, in at least 2 passes, the nodes to the clusters based, at least in part, on the time window information of the nodes. Other embodiments are disclosed.

Abstract: The present application describes a method of utilizing a mathematical model to determine appropriate locations for redistribution or drop-off of items with last mile delivery services at a consolidation point representing an intermediate sortation or warehousing in a retail enterprise's supply chain downstream of retail locations. Items may be brought from a consolidation point, such as a warehouse downstream of retail locations, to such a redistribution location (herein referred to as a “Transload” point). A last-mile delivery carrier may pick up items from the Transload point and deliver them to customer delivery locations in the geographical area served by the Transload point. In examples, relocation of selected deliveries from the consolidation point to a Transload point reduces the per-mile cost for last mile deliveries. A model uses candidate locations to assess optimal locations for such a Transload facility, for example, based on delivery locations and associated costs.

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.