COMPUTER IMPLEMENTED METHOD FOR IDENTIFYING PRODUCT SUBSTITUTES
A computer implemented method for identifying substitute products for a target product via a distributor's product management computer system, the method includes: receiving, at a distributor's product management computer system, data representing a target product of interest to a user of...
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| creator | Mereby, Merwan Senol, Michael Wesley, Avinash Pandya, Raja Vikram Raj Phillips, Brandon Lee DANDE, Shashi Bhushan Khurana, Akash Bajaj, Ashok Ramesh Varier, Sanjay Wassil, Michael Gregg Albu, Benjamin James Porwal, Hemant Pant, Vipul |
| description | A computer implemented method for identifying substitute products for a target product via a distributor's product management computer system, the method includes: receiving, at a distributor's product management computer system, data representing a target product of interest to a user of the system, wherein the target product is described by a plurality of variable-value attributes associated therewith; processing the received data through a machine-learning-produced algorithm and thereby generating data representing a first set of substitute product candidates for the target product and wherein each substitute product candidate has a corresponding match-score that represents a degree of determined similarity between that substitute product candidate and the target product; transforming the generated data that represents the first set of substitute product candidates into data representing a refined set of substitute product candidates by processing the generated data utilizing a constraint-based algorithm; and outputting data representing the refined set of substitute product candidates. |
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Senol, Michael ; Wesley, Avinash ; Pandya, Raja Vikram Raj ; Phillips, Brandon Lee ; DANDE, Shashi Bhushan ; Khurana, Akash ; Bajaj, Ashok Ramesh ; Varier, Sanjay ; Wassil, Michael Gregg ; Albu, Benjamin James ; Porwal, Hemant ; Pant, Vipul</creatorcontrib><description>A computer implemented method for identifying substitute products for a target product via a distributor's product management computer system, the method includes: receiving, at a distributor's product management computer system, data representing a target product of interest to a user of the system, wherein the target product is described by a plurality of variable-value attributes associated therewith; processing the received data through a machine-learning-produced algorithm and thereby generating data representing a first set of substitute product candidates for the target product and wherein each substitute product candidate has a corresponding match-score that represents a degree of determined similarity between that substitute product candidate and the target product; 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processing the received data through a machine-learning-produced algorithm and thereby generating data representing a first set of substitute product candidates for the target product and wherein each substitute product candidate has a corresponding match-score that represents a degree of determined similarity between that substitute product candidate and the target product; transforming the generated data that represents the first set of substitute product candidates into data representing a refined set of substitute product candidates by processing the generated data utilizing a constraint-based algorithm; and outputting data representing the refined set of substitute product candidates.</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</subject><subject>PHYSICS</subject><subject>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZLB39vcNCA1xDVLw9A3wcfV19QtxdVHwdQ3x8HdRcPMHCrsAhTzdIj393BUCgvxdQp1DFIJDnYJDPEOA2oJ5GFjTEnOKU3mhNDeDsptriLOHbmpBfnxqcUFicmpeakl8aLCRgZGJoZG5obmBo6ExcaoAcUcr4w</recordid><startdate>20240418</startdate><enddate>20240418</enddate><creator>Mereby, Merwan</creator><creator>Senol, Michael</creator><creator>Wesley, Avinash</creator><creator>Pandya, Raja Vikram Raj</creator><creator>Phillips, Brandon Lee</creator><creator>DANDE, Shashi Bhushan</creator><creator>Khurana, Akash</creator><creator>Bajaj, Ashok Ramesh</creator><creator>Varier, Sanjay</creator><creator>Wassil, Michael Gregg</creator><creator>Albu, Benjamin James</creator><creator>Porwal, Hemant</creator><creator>Pant, Vipul</creator><scope>EVB</scope></search><sort><creationdate>20240418</creationdate><title>COMPUTER IMPLEMENTED METHOD FOR IDENTIFYING PRODUCT SUBSTITUTES</title><author>Mereby, Merwan ; 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processing the received data through a machine-learning-produced algorithm and thereby generating data representing a first set of substitute product candidates for the target product and wherein each substitute product candidate has a corresponding match-score that represents a degree of determined similarity between that substitute product candidate and the target product; transforming the generated data that represents the first set of substitute product candidates into data representing a refined set of substitute product candidates by processing the generated data utilizing a constraint-based algorithm; and outputting data representing the refined set of substitute product candidates.</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
| title | COMPUTER IMPLEMENTED METHOD FOR IDENTIFYING PRODUCT SUBSTITUTES |
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