A shipping management system comprises a memory configured with a set of carrier-specific mapping rules for a plurality of carriers. The system includes a non-transitory computer readable medium comprising a set of instructions executable by a processor to: apply carrier-specific mapping rules to carrier-specific records received from the respective carrier to map status codes or descriptions in the carrier-specific records from the respective carrier to generate normalized shipping information for shipments, the normalized shipping information comprising normalized status codes; store the normalized shipping information in association with the user account; receive a request for shipments associated with the user account; and generate an unified view user interface to present a unified view of shipments associated with the user account, the unified view comprising normalized statuses or descriptions for shipments across the plurality of carriers and controls to allow a user to request additional data on individual shipments.

The systems and methods described herein relate to managing transportation of loads of items within a retail supply chain. A unified load tracking system aggregates information from multiple supply chain computing systems for presentation on a user interface accessible by multiple users. One user interface provide access to a multitude of information that is interconnected by a common, unique identifier for each movement of a load between an origin and destination. A load board is also provided which automates the spot market auction process and load tender process between carriers and a retail enterprise transportation management system.

A method of monitoring a health of a transportation refrigeration unit including: receiving at least one of an alarm of one or more components of the transportation refrigeration unit, test data on the one or more components of the transportation refrigeration unit, historical trip data of the transportation refrigeration unit, or service data of the transportation refrigeration unit; receiving reefer parameters of the transportation refrigeration unit; determining a health score of the transportation refrigeration unit based on at least the reefer parameters; and determining a maintenance action for transportation refrigeration unit based on the health score and at least one of the alarm, the test data, the historical trip data, or the service data.

A computer-implemented information processing method includes: obtaining a plan including at least locations to which moving object is expected to travel and stay at; setting, on the basis of the locations included in the plan, a candidate charging location at which the battery of the moving object is chargeable; obtaining the reservation status of a charging station associated with the candidate charging location; and arranging reservation details according to the reservation status of the charging station.

A system and method of automatically detecting pricing loops by generating a price-history database and searching the database for recurring pricing update patterns. If a price update pattern is detected, then the price republishing is blocked until a next event occurs to interrupt the pricing loop. A pricing engine searches the price-history database before publishing a new price. If a past price recurs multiple times over a predetermined time period, then it is saved as a candidate value for a pricing loop. A current price to be published is compared to the candidate value, and if there is a match, then the current price is suppressed.

A check-in system for an dispensing items includes a computing device having an application installed thereon. The computing device is configured to check in a customer to notify the kiosk of a time range during which an order of the customer is picked up. The kiosk is configured to receive a check-in message from the computing device, receive the location of the computing device, receive a message indicative of the arrival of the customer at the automated tower, retrieve information of the order from an order database stored on a remote server, assemble the order based on the check-in message and the information of the order, and move the assembled order close to a pick-up location of the automated tower to facilitate pick-up of the assembled order.

A method and apparatus for sign-bill return based on a blockchain, a device and a readable storage medium, through acquiring (S101) a sign-bill return request sent by a shipment terminal; acquiring (S102) pre-stored target sign-bill information according to the sign-bill return request; acquiring (S103) a target hash value corresponding to the target sign-bill information from the blockchain; and sending (S104) the target sign-bill information to the shipment terminal, when verifying that the target sign-bill information is correct by the target hash value, the tamper-proof blockchain storage of the target sign-bill information is achieved, which not only improves efficiency of the sign-bill return, but also improves reliability of the sign-bill return.

Computer systems and associated methods are disclosed to implement a machine-learned shipping or delivery destination prediction model that can be used to predict shipping or delivery destinations for customer shipping or delivery requests. The prediction model may be trained using a machine learning technique to select, based on customer data, one or more location classes that correspond to different types of location data found in the customer data. Depending on the embodiment, the different types of location data may include a customer's most frequent shipping address, last shipping address, billing address, email address, or others. In embodiments, the prediction model may be used in an item ordering service to auto-populate the shipping or delivery address for a user interface or to provide location-specific shipping options or offers. In embodiments, performance of the prediction model may be determined based on actual customer feedback, and tracked to provide a model performance report.

Provided is an estimating system including: at least one memory configured to store computer program code; and at least one processor configured to access said at least one memory and operate according to said computer program code, said computer program code including: via point acquisition code configured to cause the at least one processor to acquire a position of a via point, wherein the route is a path followed by a mobile object when the mobile object moves toward a destination; staying time period code configured to cause the at least one processor to estimate, based on the position of the via point, a staying time period; and arrival time code configured to cause the at least one processor to estimate, by including the staying time period, an arrival time of the mobile object at the destination.

Systems and methods to utilize a tablespace to export to a native database recovery environment are described. The system receives file information and script information at a source host that operates in a native database recovery environment. The file information and the script information are received from a backup host that utilizes foreign snapshot files and foreign incremental files for storing the file information. The file information includes native snapshot files and native incremental files. The script information includes one or more scripts that execute, at the source host, to perform operations comprising: mounting the directories; opening an auxiliary database; restoring a tablespace in the auxiliary database; recovering the tablespace in the auxiliary database based on the native incremental files; exporting the tablespace metadata information from the auxiliary database; recovering the tablespace in the database based on the tablespace metadata information; and unmounting the directories.