{"id":"https://openalex.org/W3049433596","doi":"https://doi.org/10.1145/3430984.3430995","title":"Explainable AI based Interventions for Pre-season Decision Making in Fashion Retail","display_name":"Explainable AI based Interventions for Pre-season Decision Making in Fashion Retail","publication_year":2020,"publication_date":"2020-12-28","ids":{"openalex":"https://openalex.org/W3049433596","doi":"https://doi.org/10.1145/3430984.3430995","mag":"3049433596"},"language":"en","primary_location":{"id":"doi:10.1145/3430984.3430995","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3430984.3430995","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd ACM India Joint International Conference on Data Science &amp; Management of Data (8th ACM IKDD CODS &amp; 26th COMAD)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2008.07376","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028916280","display_name":"Shravan Sajja","orcid":null},"institutions":[{"id":"https://openalex.org/I4210103279","display_name":"IBM Research - India","ror":"https://ror.org/014wt7r80","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210103279","https://openalex.org/I4210114115"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Shravan Sajja","raw_affiliation_strings":["IBM Research, India"],"affiliations":[{"raw_affiliation_string":"IBM Research, India","institution_ids":["https://openalex.org/I4210103279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069115539","display_name":"Nupur Aggarwal","orcid":null},"institutions":[{"id":"https://openalex.org/I4210103279","display_name":"IBM Research - India","ror":"https://ror.org/014wt7r80","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210103279","https://openalex.org/I4210114115"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Nupur Aggarwal","raw_affiliation_strings":["IBM Research, India"],"affiliations":[{"raw_affiliation_string":"IBM Research, India","institution_ids":["https://openalex.org/I4210103279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102065631","display_name":"Sumanta Mukherjee","orcid":null},"institutions":[{"id":"https://openalex.org/I4210103279","display_name":"IBM Research - India","ror":"https://ror.org/014wt7r80","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210103279","https://openalex.org/I4210114115"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sumanta Mukherjee","raw_affiliation_strings":["IBM Research, India"],"affiliations":[{"raw_affiliation_string":"IBM Research, India","institution_ids":["https://openalex.org/I4210103279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031153964","display_name":"Kushagra Manglik","orcid":null},"institutions":[{"id":"https://openalex.org/I4210103279","display_name":"IBM Research - India","ror":"https://ror.org/014wt7r80","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210103279","https://openalex.org/I4210114115"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kushagra Manglik","raw_affiliation_strings":["IBM Research, India"],"affiliations":[{"raw_affiliation_string":"IBM Research, India","institution_ids":["https://openalex.org/I4210103279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052099562","display_name":"Satyam Dwivedi","orcid":"https://orcid.org/0000-0003-1675-4061"},"institutions":[{"id":"https://openalex.org/I4210103279","display_name":"IBM Research - India","ror":"https://ror.org/014wt7r80","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210103279","https://openalex.org/I4210114115"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Satyam Dwivedi","raw_affiliation_strings":["IBM Research, India"],"affiliations":[{"raw_affiliation_string":"IBM Research, India","institution_ids":["https://openalex.org/I4210103279"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053798254","display_name":"Vikas C. Raykar","orcid":null},"institutions":[{"id":"https://openalex.org/I4210103279","display_name":"IBM Research - India","ror":"https://ror.org/014wt7r80","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210103279","https://openalex.org/I4210114115"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vikas Raykar","raw_affiliation_strings":["IBM Research, India"],"affiliations":[{"raw_affiliation_string":"IBM Research, India","institution_ids":["https://openalex.org/I4210103279"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5028916280"],"corresponding_institution_ids":["https://openalex.org/I4210103279"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.09505296,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"281","last_page":"289"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11918","display_name":"Forecasting Techniques and Applications","score":0.9853000044822693,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T14351","display_name":"Statistical and Computational Modeling","score":0.9789000153541565,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.7529209852218628},{"id":"https://openalex.org/keywords/fast-fashion","display_name":"Fast fashion","score":0.6381275653839111},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.6203089952468872},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5258914828300476},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.4799000024795532},{"id":"https://openalex.org/keywords/new-product-development","display_name":"New product development","score":0.45248985290527344},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.42165112495422363},{"id":"https://openalex.org/keywords/decision-maker","display_name":"Decision maker","score":0.41771215200424194},{"id":"https://openalex.org/keywords/process-management","display_name":"Process management","score":0.3793554902076721},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3698350191116333},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.2673405408859253},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1370040476322174},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11114484071731567}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.7529209852218628},{"id":"https://openalex.org/C2779611367","wikidata":"https://www.wikidata.org/wiki/Q3231404","display_name":"Fast fashion","level":3,"score":0.6381275653839111},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.6203089952468872},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5258914828300476},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.4799000024795532},{"id":"https://openalex.org/C19351080","wikidata":"https://www.wikidata.org/wiki/Q1395034","display_name":"New product development","level":2,"score":0.45248985290527344},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.42165112495422363},{"id":"https://openalex.org/C2986080485","wikidata":"https://www.wikidata.org/wiki/Q1331926","display_name":"Decision maker","level":2,"score":0.41771215200424194},{"id":"https://openalex.org/C195094911","wikidata":"https://www.wikidata.org/wiki/Q14167904","display_name":"Process management","level":1,"score":0.3793554902076721},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3698350191116333},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.2673405408859253},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1370040476322174},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11114484071731567},{"id":"https://openalex.org/C530175646","wikidata":"https://www.wikidata.org/wiki/Q11460","display_name":"Clothing","level":2,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/3430984.3430995","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3430984.3430995","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd ACM India Joint International Conference on Data Science &amp; Management of Data (8th ACM IKDD CODS &amp; 26th COMAD)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2008.07376","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2008.07376","pdf_url":"https://arxiv.org/pdf/2008.07376","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:3049433596","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2008.07376","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2008.07376","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2008.07376","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2008.07376","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2008.07376","pdf_url":"https://arxiv.org/pdf/2008.07376","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3049433596.pdf","grobid_xml":"https://content.openalex.org/works/W3049433596.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W1486759401","https://openalex.org/W2036183396","https://openalex.org/W2100142570","https://openalex.org/W2141771514","https://openalex.org/W2157256185","https://openalex.org/W2187467903","https://openalex.org/W2295598076","https://openalex.org/W2618851150","https://openalex.org/W2765204106","https://openalex.org/W2778725642","https://openalex.org/W2787070805","https://openalex.org/W2788403449","https://openalex.org/W2810511505","https://openalex.org/W2914598080","https://openalex.org/W2948056727","https://openalex.org/W2963847595","https://openalex.org/W2964022491","https://openalex.org/W3004933906","https://openalex.org/W3102476541","https://openalex.org/W3108225908","https://openalex.org/W3122175177","https://openalex.org/W3128452405","https://openalex.org/W6675354045"],"related_works":["https://openalex.org/W3115277272","https://openalex.org/W1537621306","https://openalex.org/W2290449004","https://openalex.org/W1504659353","https://openalex.org/W2562602546","https://openalex.org/W3210975959","https://openalex.org/W2939879315","https://openalex.org/W2320482026","https://openalex.org/W3123373632","https://openalex.org/W3088243228","https://openalex.org/W173065931","https://openalex.org/W1993945604","https://openalex.org/W150399603","https://openalex.org/W2493187329","https://openalex.org/W2145998456","https://openalex.org/W2742872276","https://openalex.org/W2986687657","https://openalex.org/W1487087779","https://openalex.org/W2007552244","https://openalex.org/W2020713549"],"abstract_inverted_index":{"Future":[0],"of":[1,7,13,34,47,78,115,133],"sustainable":[2],"fashion":[3,58],"lies":[4],"in":[5,43,51,128],"adoption":[6,46],"AI":[8,48],"for":[9],"a":[10,57,68,88],"better":[11],"understanding":[12,20],"consumer":[14],"shopping":[15],"behaviour":[16],"and":[17,27,38,64,81,99,138],"using":[18],"this":[19],"to":[21,29,105],"further":[22],"optimize":[23],"product":[24,110,135],"design,":[25,136],"development":[26,137],"sourcing":[28],"finally":[30],"reduce":[31],"the":[32,45,121],"probability":[33],"overproducing":[35],"inventory.":[36,84],"Explainability":[37],"interpretability":[39],"are":[40],"highly":[41],"effective":[42],"increasing":[44],"based":[49,92],"tools":[50],"creative":[52],"domains":[53],"like":[54,61],"fashion.":[55],"In":[56],"house,":[59],"stakeholders":[60,122],"buyers,":[62],"merchandisers":[63],"financial":[65],"planners":[66],"have":[67,87],"more":[69,89],"quantitative":[70],"approach":[71,91],"towards":[72],"decision":[73,130],"making":[74,131],"with":[75,113],"primary":[76],"goals":[77],"high":[79],"sales":[80],"reduced":[82],"dead":[83],"Whereas,":[85],"designers":[86],"intuitive":[90],"on":[93],"observing":[94],"market":[95],"trends,":[96],"social":[97],"media":[98],"runways":[100],"shows.":[101],"Our":[102],"goal":[103],"is":[104],"build":[106],"an":[107],"explainable":[108],"new":[109,134],"forecasting":[111],"tool":[112],"capabilities":[114],"interventional":[116],"analysis":[117],"such":[118],"that":[119],"all":[120],"(with":[123],"competing":[124],"goals)":[125],"can":[126],"participate":[127],"collaborative":[129],"process":[132],"launch.":[139]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
