System and method for item category footage recommendation

Systems and methods for generating an electronic planogram optimized for space elasticity calculating a space elasticity include training a constrained linear regression model using a first training dataset, training a multiple non-linear regression model based on a second training dataset including...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Somedip Karmakar, Ashish Gupta
Format: Patent
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title
container_volume
creator Somedip Karmakar
Ashish Gupta
description Systems and methods for generating an electronic planogram optimized for space elasticity calculating a space elasticity include training a constrained linear regression model using a first training dataset, training a multiple non-linear regression model based on a second training dataset including, training a non-linear multiple-constraint mixed integer optimization model based at least in part on an output of the constrained linear regression model and an output of the multiple non-linear regression model, and generating an electronic planogram optimized for space elasticity. For each item category, a space elasticity is determined by fitting the constrained linear regression model, the multiple non-linear regression model is applied to determine a cross-space elasticity, and the non-linear multiple-constraint mixed integer optimization model generates a category space allocation. The category space allocation for each item category is aggregated to generate the electronic planogram. The electronic planogram is validated based on received sales data.
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_GB2591375B</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>GB2591375B</sourcerecordid><originalsourceid>FETCH-epo_espacenet_GB2591375B3</originalsourceid><addsrcrecordid>eNrjZLAKriwuSc1VSMxLUchNLcnIT1FIyy9SyASJJSeWpKbnF1UCRfJLEtNTFYpSk_Nzc1PzUhJLMvPzeBhY0xJzilN5oTQ3g7yba4izh25qQX58anFBYnJqXmpJvLuTkamlobG5qZMxYRUA0n8udg</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>System and method for item category footage recommendation</title><source>esp@cenet</source><creator>Somedip Karmakar ; Ashish Gupta</creator><creatorcontrib>Somedip Karmakar ; Ashish Gupta</creatorcontrib><description>Systems and methods for generating an electronic planogram optimized for space elasticity calculating a space elasticity include training a constrained linear regression model using a first training dataset, training a multiple non-linear regression model based on a second training dataset including, training a non-linear multiple-constraint mixed integer optimization model based at least in part on an output of the constrained linear regression model and an output of the multiple non-linear regression model, and generating an electronic planogram optimized for space elasticity. For each item category, a space elasticity is determined by fitting the constrained linear regression model, the multiple non-linear regression model is applied to determine a cross-space elasticity, and the non-linear multiple-constraint mixed integer optimization model generates a category space allocation. The category space allocation for each item category is aggregated to generate the electronic planogram. The electronic planogram is validated based on received sales data.</description><language>eng</language><subject>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</subject><creationdate>2023</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20230315&amp;DB=EPODOC&amp;CC=GB&amp;NR=2591375B$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76289</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20230315&amp;DB=EPODOC&amp;CC=GB&amp;NR=2591375B$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Somedip Karmakar</creatorcontrib><creatorcontrib>Ashish Gupta</creatorcontrib><title>System and method for item category footage recommendation</title><description>Systems and methods for generating an electronic planogram optimized for space elasticity calculating a space elasticity include training a constrained linear regression model using a first training dataset, training a multiple non-linear regression model based on a second training dataset including, training a non-linear multiple-constraint mixed integer optimization model based at least in part on an output of the constrained linear regression model and an output of the multiple non-linear regression model, and generating an electronic planogram optimized for space elasticity. For each item category, a space elasticity is determined by fitting the constrained linear regression model, the multiple non-linear regression model is applied to determine a cross-space elasticity, and the non-linear multiple-constraint mixed integer optimization model generates a category space allocation. The category space allocation for each item category is aggregated to generate the electronic planogram. The electronic planogram is validated based on received sales data.</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>2023</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZLAKriwuSc1VSMxLUchNLcnIT1FIyy9SyASJJSeWpKbnF1UCRfJLEtNTFYpSk_Nzc1PzUhJLMvPzeBhY0xJzilN5oTQ3g7yba4izh25qQX58anFBYnJqXmpJvLuTkamlobG5qZMxYRUA0n8udg</recordid><startdate>20230315</startdate><enddate>20230315</enddate><creator>Somedip Karmakar</creator><creator>Ashish Gupta</creator><scope>EVB</scope></search><sort><creationdate>20230315</creationdate><title>System and method for item category footage recommendation</title><author>Somedip Karmakar ; Ashish Gupta</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_GB2591375B3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2023</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</topic><topic>PHYSICS</topic><topic>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</topic><toplevel>online_resources</toplevel><creatorcontrib>Somedip Karmakar</creatorcontrib><creatorcontrib>Ashish Gupta</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Somedip Karmakar</au><au>Ashish Gupta</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>System and method for item category footage recommendation</title><date>2023-03-15</date><risdate>2023</risdate><abstract>Systems and methods for generating an electronic planogram optimized for space elasticity calculating a space elasticity include training a constrained linear regression model using a first training dataset, training a multiple non-linear regression model based on a second training dataset including, training a non-linear multiple-constraint mixed integer optimization model based at least in part on an output of the constrained linear regression model and an output of the multiple non-linear regression model, and generating an electronic planogram optimized for space elasticity. For each item category, a space elasticity is determined by fitting the constrained linear regression model, the multiple non-linear regression model is applied to determine a cross-space elasticity, and the non-linear multiple-constraint mixed integer optimization model generates a category space allocation. The category space allocation for each item category is aggregated to generate the electronic planogram. The electronic planogram is validated based on received sales data.</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language eng
recordid cdi_epo_espacenet_GB2591375B
source esp@cenet
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 System and method for item category footage recommendation
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-12T14%3A41%3A18IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=Somedip%20Karmakar&rft.date=2023-03-15&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3EGB2591375B%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true