Abstract: Rule data sets are received. These rule sets are associated with constraints controlling how records that are associated with the goods are consolidated. These goods are to be received for importing. An estimate score indicative of the risk for inspection for a first set of goods that are to be imported is generated. Based at least in part on the rule data sets and the generated estimate, a plurality of records are consolidated to a single instance for the first set of goods. Based on the consolidating, a user interface is caused to be generated that renders information associated with the consolidating.

Abstract: Rule data sets are received. These rule sets are associated with constraints controlling how records that are associated with the goods are consolidated. These goods are to be received for importing. An estimate score indicative of the risk for inspection for a first set of goods that are to be imported is generated. Based at least in part on the rule data sets and the generated estimate, a plurality of records are consolidated to a single instance for the first set of goods. Based on the consolidating, a user interface is caused to be generated that renders information associated with the consolidating.

Abstract: Rule data sets are received. These rule sets are associated with constraints controlling how records that are associated with the goods are consolidated. These goods are to be received for importing. An estimate score indicative of the risk for inspection for a first set of goods that are to be imported is generated. Based at least in part on the rule data sets and the generated estimate, a plurality of records are consolidated to a single instance for the first set of goods. Based on the consolidating, a user interface is caused to be generated that renders information associated with the consolidating.

Abstract: Embodiments of the present invention disclose a method, a computer program product, and a computer system for predictive maintenance of refrigeration cases. A computer collects a temperature time series for a refrigeration case and, based on the temperature time series, learns a refrigeration case signature for both non-frost and defrost cycles. The computer generates features based on the refrigeration case signature and compares the refrigeration case signature to real time, or observed, temperatures and features using a rule-based and/or machine learning framework. Based on determining that the real time data varies beyond a threshold from the refrigeration case signature, the computer identifies a failure symptom of the refrigeration case and diagnoses a root cause of the symptom or failure. In addition, the computer may activate an alarm and open a work order corresponding to the root cause of the symptom or failure.

Abstract: Embodiments of the present invention disclose a method, a computer program product, and a computer system for predictive maintenance of refrigeration cases. A computer collects a temperature time series for a refrigeration case and, based on the temperature time series, learns a refrigeration case signature for both non-frost and defrost cycles. The computer generates features based on the refrigeration case signature and compares the refrigeration case signature to real time, or observed, temperatures and features using a rule-based and/or machine learning framework. Based on determining that the real time data varies beyond a threshold from the refrigeration case signature, the computer identifies a failure symptom of the refrigeration case and diagnoses a root cause of the symptom or failure. In addition, the computer may activate an alarm and open a work order corresponding to the root cause of the symptom or failure.

Abstract: Rule data sets are received. These rule sets are associated with constraints controlling how records that are associated with the goods are consolidated. These goods are to be received for importing. An estimate score indicative of the risk for inspection for a first set of goods that are to be imported is generated. Based at least in part on the rule data sets and the generated estimate, a plurality of records are consolidated to a single instance for the first set of goods. Based on the consolidating, a user interface is caused to be generated that renders information associated with the consolidating.

Abstract: Embodiments of the present invention disclose a method, a computer program product, and a computer system for predictive maintenance of refrigeration cases. A computer collects a temperature time series for a refrigeration case and, based on the temperature time series, learns a refrigeration case signature for both non-frost and defrost cycles. The computer generates features based on the refrigeration case signature and compares the refrigeration case signature to real time, or observed, temperatures and features using a rule-based and/or machine learning framework. Based on determining that the real time data varies beyond a threshold from the refrigeration case signature, the computer identifies a failure symptom of the refrigeration case and diagnoses a root cause of the symptom or failure. In addition, the computer may activate an alarm and open a work order corresponding to the root cause of the symptom or failure.

Abstract: Embodiments of the present invention disclose a method, a computer program product, and a computer system for predictive maintenance of refrigeration cases. A computer collects a temperature time series for a refrigeration case and, based on the temperature time series, learns a refrigeration case signature for both non-frost and defrost cycles. The computer generates features based on the refrigeration case signature and compares the refrigeration case signature to real time, or observed, temperatures and features using a rule-based and/or machine learning framework. Based on determining that the real time data varies beyond a threshold from the refrigeration case signature, the computer identifies a failure symptom of the refrigeration case and diagnoses a root cause of the symptom or failure. In addition, the computer may activate an alarm and open a work order corresponding to the root cause of the symptom or failure.