Various embodiments disclosed relate to automated docketing of incoming electronic communications and documents. The present disclosure includes methods and systems for identifying omnibus documents containing more than one event, and splitting those omnibus documents into the individual events or documents.

A fish-quality determination system (1) analyzes, through machine learning, a relationship among image data taken of cross-sections of tails of fish, boat data indicating fishing boats that caught the fish, and quality data indicating quality of the fish. When having acquired, from a user device (3), image data of a cross-section of the tail of a fish subject to determination and boat data indicating a fishing boat that caught the fish, the system (1) uses, as an input, the image data of the cross-section of the tail of the fish subject to the determination and the boat data indicating the fishing boat that caught the fish that have been acquired so as to estimate and output quality of the fish subject to the determination on the basis of the analyzed relationship. The output quality of the fish subject to the determination is displayed on the user device (3).

Various embodiments disclosed relate to a translation tool for use with a project management or docketing system. The present disclosure includes methods and systems for receiving, identifying, and translating one or more portions of a foreign language document, such as an image document.

Various embodiments disclosed relate to a method of sorting and coding incoming docket tasks and items. The present disclosure includes methods and systems for analyzing and associate pre-codes with incoming electronic communications. In a method of docketing, an electronic communication can be received, a first pre-code can be identified, a second pre-code can be automatically selected and associated with the electronic communication, and the electronic communication can be sent to a docketing system.

A computer-implemented method of auditing drug supply chain data gathered from a distributed ledger is disclosed. The method includes receiving a population of drug product records from the distributed ledger. The method includes receiving a first set of drug product criteria. The method includes determining a weighted probability for one or more drug product records of the population of drug product records. The method includes generating a randomized first subset of drug product records from the population of drug product records based on the weighted probability of the one or more drug product records. Other methods, systems, and the like for unbiased drug selection for audit are also disclosed.

A system, method and article of manufacture are provided for detecting message impressions from a document. The document includes one or more data collection areas adapted to receive input, and one or more message areas. Each message area includes a message. Memory representations of messages are stored in a memory. The document is received at a document processing engine which is adapted to access the memory to obtain the representations of messages. Message impressions are detected from the document by analyzing the document in the document processing engine. Message impressions are detected if it is determined that there is relevant input in the one or more data collection areas, and the document includes a representation of one or more of the messages.

A cloud-based system for use by retail store employees or customers at any location to facilitate the sale of automotive tires to consumers is provided. The system accesses multiple independent tire inventory systems from different distributors/manufacturers and provides a personalized set of recommendation tire options and accompanying TPMS service packs.

A system performs a loss factor determination which refers to, for each of two or more different Ms from among 4 Ms (Man, Machine, Material, and Method), a time series data group representing a time series of a state of an element belonging to the M, and which determines, for each period between time points, whether or not a state combination in the same period between time points corresponds to one or a plurality of loss state combinations. In each period between time points, the state combination is a combination of two or more states belonging to the period between time points and corresponding to the two or more Ms. The loss state combination is a state combination defined as an opportunity loss. With each loss state combination, a loss factor, which is a factor of an opportunity loss corresponding to the loss state combination, is associated.

Disclosed are various examples for determining an IT topology for an enterprise IT organization based on operational goals of the enterprise organization. Visual models that are designed to facilitate responses associated with the current IT topology and operational goals of an enterprise IT organization are displayed to an entity of the enterprise. The entity can provide enterprise profile data to an IT solutions system by interacting with user interfaces. The IT solutions system can generate the IT topology prescription and roadmap for implementing the IT topology prescription based on the operational goals identified in the responses. Statements of work can be dynamically generated that outline details and terms of implementing the IT topology prescription for the enterprise IT organization.

Provided are a device and a method which enable easy analysis and evaluation of work efficiency of a worker without burdensome tasks and easy determination of a worker's skill level by comparing the worker's work efficiency status with that of another worker or a past record of the same worker, wherein analytical information is produced by estimating the worker's joint positions based on a video; acquiring time series data on joint positions; determining work efficiency based on the time series data; acquiring a target range (part of a work process with low work efficiency); output an image of the target range overlaid on a graph of the time series data; and output a posture image of the worker overlaid on the video. The analytical information may include information on a working activity to be analyzed and information on a chosen model working activity with high work efficiency.