Abstract: Systems, methods, and non-transitory media are provided for dynamically predicting visibility of freights in a constrained environment. An example method can include determining attributes associated with a load transported by a carrier from a source to a destination, the attributes including an identity of the carrier, an identity of an industry associated with the load, an identity of a shipper of the load, load characteristics, and/or a pickup time of the load; based on the attributes, predicting a route the carrier will follow when transporting the load to the destination, at least a portion of the route being predicted without data indicating an actual presence of the carrier within the portion of the route, the data including location measurements from a device associated with the carrier and/or a location update from the carrier; and generating a tracking interface identifying the route the carrier is predicted to follow.

Abstract: Disclosed are systems, apparatuses, methods, and computer readable medium, and circuits for tracking shipment services. A method includes: obtaining, from a mobile computing device, a shipment information associated with a booking of a load and asset information corresponding to a physical asset associated with transport of the load; identifying one or more sources of location data for the physical asset based on the asset information; and generating tracking information for the load by associating the one or more sources of location data for the physical asset with the shipment information associated with the booking of the load.

Abstract: Systems, methods, and non-transitory media are provided for supply chain management, tracking, and integration. An example method can include receiving, via one or more processors, a document associated with a booking of a shipment; extracting, via the one or more processors, data in the document associated with the booking of the shipment; based on the extracted data, generating a shipment record in a shipment management system; and based on the shipment record, tracking the shipment associated with the booking.

Abstract: Disclosed are systems, apparatuses, methods, and computer-readable media for predicting delays in carrier shipping services. A method includes: obtaining stock information from an inventory management system of a customer, wherein the stock information includes identification of products stocked at different locations; obtaining shipment information from a shipment management system, the shipment information including sources of the products stocked at different location and tracking information for the products from the sources; and providing a user interface comprising the stock information, shipment information, environmental impact information, and shipment performance information into a single view based on an operation view or an executive summary view.

Abstract: Disclosed are systems, apparatuses, methods, and computer readable medium, and circuits for tracking shipment services. A method includes: obtaining, from a mobile computing device, a shipment information associated with a booking of a load and asset information corresponding to a physical asset associated with transport of the load; identifying one or more sources of location data for the physical asset based on the asset information; and generating tracking information for the load by associating the one or more sources of location data for the physical asset with the shipment information associated with the booking of the load.

Abstract: Disclosed are systems, apparatuses, methods, and computer readable medium, and circuits for identifying delay risks in carrier shipping services. A method includes: receiving a pre-shipment notification from a customer indicating that a load will be collected from a source location and delivered to a destination location; determining a collection date to collect the load based on a status of contents of the load; identifying a first carrier and a service level for the load considering a requested delivery date; prior to collection of the load, determining a predicted delivery date for the load based on friction within a transit configuration for the load using the first carrier, wherein the friction is associated with at least one intrinsic constraint of the first carrier and at least one extrinsic constraint; and in response to determining that the predicted delivery date is after the requested delivery date, identifying at least one correction.

Abstract: Disclosed are systems, apparatuses, methods, and computer readable medium, and circuits for tracking shipment services. A method includes: obtaining, from a mobile computing device, a shipment information associated with a booking of a load and asset information corresponding to a physical asset associated with transport of the load; identifying one or more sources of location data for the physical asset based on the asset information; and generating tracking information for the load by associating the one or more sources of location data for the physical asset with the shipment information associated with the booking of the load.

Abstract: Systems, methods, and non-transitory media are provided for dynamically predicting visibility of freights in a constrained environment. An example method can include determining attributes associated with a load transported by a carrier from a source to a destination, the attributes including an identity of the carrier, an identity of an industry associated with the load, an identity of a shipper of the load, load characteristics, and/or a pickup time of the load; based on the attributes, predicting a route the carrier will follow when transporting the load to the destination, at least a portion of the route being predicted without data indicating an actual presence of the carrier within the portion of the route, the data including location measurements from a device associated with the carrier and/or a location update from the carrier; and generating a tracking interface identifying the route the carrier is predicted to follow.

Abstract: Systems, methods, and non-transitory media are provided for dynamically predicting visibility of freights in a constrained environment. An example method can include determining attributes associated with a load transported by a carrier from a source to a destination, the attributes including an identity of the carrier, an identity of an industry associated with the load, an identity of a shipper of the load, load characteristics, and/or a pickup time of the load; based on the attributes, predicting a route the carrier will follow when transporting the load to the destination, at least a portion of the route being predicted without data indicating an actual presence of the carrier within the portion of the route, the data including location measurements from a device associated with the carrier and/or a location update from the carrier; and generating a tracking interface identifying the route the carrier is predicted to follow.

Abstract: Systems, methods, and non-transitory media are provided for supply chain management, tracking, and integration. An example method can include receiving, via one or more processors, a document associated with a booking of a shipment; extracting, via the one or more processors, data in the document associated with the booking of the shipment; based on the extracted data, generating a shipment record in a shipment management system; and based on the shipment record, tracking the shipment associated with the booking.

Abstract: Systems, methods, and non-transitory media are provided for dynamically predicting visibility of freights in a constrained environment. An example method can include determining attributes associated with a load transported by a carrier from a source to a destination, the attributes including an identity of the carrier, an identity of an industry associated with the load, an identity of a shipper of the load, load characteristics, and/or a pickup time of the load; based on the attributes, predicting a route the carrier will follow when transporting the load to the destination, at least a portion of the route being predicted without data indicating an actual presence of the carrier within the portion of the route, the data including location measurements from a device associated with the carrier and/or a location update from the carrier; and generating a tracking interface identifying the route the carrier is predicted to follow.

Abstract: Systems, methods, and non-transitory media are provided for dynamically predicting visibility of freights in a constrained environment. An example method can include determining attributes associated with a load transported by a carrier from a source to a destination, the attributes including an identity of the carrier, an identity of an industry associated with the load, an identity of a shipper of the load, load characteristics, and/or a pickup time of the load; based on the attributes, predicting a route the carrier will follow when transporting the load to the destination, at least a portion of the route being predicted without data indicating an actual presence of the carrier within the portion of the route, the data including location measurements from a device associated with the carrier and/or a location update from the carrier; and generating a tracking interface identifying the route the carrier is predicted to follow.