Abstract: Systems and methods change a user interface for the purpose of pairing a shipping container with an item that is intended to be shipped in the shipping container. Example embodiments include a machine-implemented method for accessing a shipping request, detecting a radio signal from a candidate container using a radio receiver, detecting an impact between a pairing device and a query container using an accelerometer, determining that the query container is the candidate container, and generating a shipping record that correlates the shipping container and the item. The device can further determine that the query container is the candidate container based on the signal strength and change in signal strength of one or more signals. The device can further detect an impact between the pairing device and the query container by ranking one or more sets of acceleration data collected by the accelerometer.

Abstract: Systems and methods change a user interface for the purpose of pairing a shipping container with an item that is intended to be shipped in the shipping container. Example embodiments include a machine-implemented method for accessing a shipping request, detecting a radio signal from a candidate container using a radio receiver, detecting an impact between a pairing device and a query container using an accelerometer, determining that the query container is the candidate container, and generating a shipping record that correlates the shipping container and the item. The device can further determine that the query container is the candidate container based on the signal strength and change in signal strength of one or more signals. The device can further detect an impact between the pairing device and the query container by ranking one or more sets of acceleration data collected by the accelerometer.

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: 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 computer-implemented method for adaptive search refinement is provided. The method may include obtaining an indication of user engagement with an online marketplace and in response to obtaining the indication, providing visually guided search refinement to construct a search query for searching the online marketplace. Providing the visually guided search refinement may include providing search refinement options, obtaining an indication of the approval or disapproval of one or more of the search refinement options, and repeating providing the search refinement options and receiving the indication. For each iteration of providing the plurality of search refinement options, at least some of the search refinement options may be different and determined based on previously received indications of both approval and disapproval. The method for adaptive search refinement may further include providing search results based on the search query.

Abstract: In various example embodiments, a system and method for a cross selling platform are presented. A request for a product listing triggered by a user may be received. The request for the product listing may include product information corresponding to an in-store product located at a store of a merchant. A related product listing may be identified based on the product information. Each product listing of the plurality of product listings may correspond to a merchant product. The product listing may be recommended to the user for sale.

Abstract: A computer-implemented method for adaptive search refinement is provided. The method may include obtaining an indication of user engagement with an online marketplace and in response to obtaining the indication, providing visually guided search refinement to construct a search query for searching the online marketplace. Providing the visually guided search refinement may include providing search refinement options, obtaining an indication of the approval or disapproval of one or more of the search refinement options, and repeating providing the search refinement options and receiving the indication. For each iteration of providing the plurality of search refinement options, at least some of the search refinement options may be different and determined based on previously received indications of both approval and disapproval. The method for adaptive search refinement may further include providing search results based on the search query.

Abstract: A system comprising a computer-readable storage medium storing at least one program and a computer-implemented method for generating a navigable user interface for a mobile shopping comparison application. In some embodiments, the method may include determining that a query request has indications of item specific attributes for comparison, identifying the most relevant item attributes corresponding to the item specific comparison, and presenting the attributes in conjunction with their corresponding items in a navigable user interface.

Abstract: A system, method, and computer program product for managing a physical inventory. Image data from a number of cameras is processed to recognize inventory items from identifying indicia and determine their respective locations to build a three-dimensional model of the inventory item distribution. Comparison with a database model of the inventory item distribution may indicate discrepancies, such as misplaced items. A picking agent may be dispatched to pick a target item by following a particular path, which may be designated in an overlay on a portable heads-up display. The picking agent may also perform a corrective inventory management action on a non-target item while picking the target item. The corrective inventory management action may include repositioning an item, reorienting the item for better visibility of its identifying indicia, replacing the item's identifying indicia, determining if the item is of expected weight, and gathering new image data.

Abstract: A system, method, and computer program product for managing a physical inventory. Image data from a number of cameras is processed to recognize inventory items from identifying indicia and determine their respective locations to build a three-dimensional model of the inventory item distribution. Comparison with a database model of the inventory item distribution may indicate discrepancies, such as misplaced items. A picking agent may be dispatched to pick a target item by following a particular path, which may be designated in an overlay on a portable heads-up display. The picking agent may also perform a corrective inventory management action on a non-target item while picking the target item. The corrective inventory management action may include repositioning an item, reorienting the item for better visibility of its identifying indicia, replacing the item's identifying indicia, determining if the item is of expected weight, and gathering new image data.

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 computer-implemented method for adaptive search refinement is provided. The method may include obtaining an indication of user engagement with an online marketplace and in response to obtaining the indication, providing visually guided search refinement to construct a search query for searching the online marketplace. Providing the visually guided search refinement may include providing search refinement options, obtaining an indication of the approval or disapproval of one or more of the search refinement options, and repeating providing the search refinement options and receiving the indication. For each iteration of providing the plurality of search refinement options, at least some of the search refinement options may be different and determined based on previously received indications of both approval and disapproval. The method for adaptive search refinement may further include providing search results based on the search query.

Abstract: In various example embodiments, a system and method for a cross selling platform are presented. A request for a product listing triggered by a user may be received. The request for the product listing may include product information corresponding to an in-store product located at a store of a merchant. A related product listing may be identified based on the product information. Each product listing of the plurality of product listings may correspond to a merchant product. The product listing may be recommended to the user for sale.

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 computer-implemented method for adaptive search refinement is provided. The method may include obtaining an indication of user engagement with an online marketplace and in response to obtaining the indication, providing visually guided search refinement to construct a search query for searching the online marketplace. Providing the visually guided search refinement may include providing search refinement options, obtaining an indication of the approval or disapproval of one or more of the search refinement options, and repeating providing the search refinement options and receiving the indication. For each iteration of providing the plurality of search refinement options, at least some of the search refinement options may be different and determined based on previously received indications of both approval and disapproval. The method for adaptive search refinement may further include providing search results based on the search query.

Abstract: A system, method, and computer program product for managing a physical inventory. Image data from a number of cameras is processed to recognize inventory items from identifying indicia and determine their respective locations to build a three-dimensional model of the inventory item distribution. Comparison with a database model of the inventory item distribution may indicate discrepancies, such as misplaced items. A picking agent may be dispatched to pick a target item by following a particular path, which may be designated in an overlay on a portable heads-up display. The picking agent may also perform a corrective inventory management action on a non-target item while picking the target item. The corrective inventory management action may include repositioning an item, reorienting the item for better visibility of its identifying indicia, replacing the item's identifying indicia, determining if the item is of expected weight, and gathering new image data.

Abstract: In various example embodiments, a system and method for a cross selling platform are presented. A request for a product listing triggered by a user may be received. The request for the product listing may include product information corresponding to an in-store product located at a store of a merchant. A related product listing may be identified based on the product information. Each product listing of the plurality of product listings may correspond to a merchant product. The product listing may be recommended to the user for sale.

Abstract: A system, method, and computer program product for managing a physical inventory. Image data from a number of cameras is processed to recognize inventory items from identifying indicia and determine their respective locations to build a three-dimensional model of the inventory item distribution. Comparison with a database model of the inventory item distribution may indicate discrepancies, such as misplaced items. A picking agent may be dispatched to pick a target item by following a particular path, which may be designated in an overlay on a portable heads-up display. The picking agent may also perform a corrective inventory management action on a non-target item while picking the target item. The corrective inventory management action may include repositioning an item, reorienting the item for better visibility of its identifying indicia, replacing the item's identifying indicia, determining if the item is of expected weight, and gathering new image data.

Abstract: A system comprising a computer-readable storage medium storing at least one program and a computer-implemented method for generating a navigable user interface for a mobile shopping comparison application. In some embodiments, the method may include determining that a query request has indications of item specific attributes for comparison, identifying the most relevant item attributes corresponding to the item specific comparison, and presenting the attributes in conjunction with their corresponding items in a navigable user interface.

Abstract: Systems and methods change a user interface for the purpose of pairing a shipping container with an item that is intended to be shipped in the shipping container. Example embodiments include a machine-implemented method for accessing a shipping request, detecting a radio signal from a candidate container using a radio receiver, detecting an impact between a pairing device and a query container using an accelerometer, determining that the query container is the candidate container, and generating a shipping record that correlates the shipping container and the item. The device can further determine that the query container is the candidate container based on the signal strength and change in signal strength of one or more signals. The device can further detect an impact between the pairing device and the query container by ranking one or more sets of acceleration data collected by the accelerometer.