{"id":"https://openalex.org/W4396879116","doi":"https://doi.org/10.1145/3647444.3647840","title":"Forecasting a FastMoving Consumer Goods (FMCG) Company's Customer Repurchase Behavior via Classification Machine Learning Models","display_name":"Forecasting a FastMoving Consumer Goods (FMCG) Company's Customer Repurchase Behavior via Classification Machine Learning Models","publication_year":2023,"publication_date":"2023-11-23","ids":{"openalex":"https://openalex.org/W4396879116","doi":"https://doi.org/10.1145/3647444.3647840"},"language":"en","primary_location":{"id":"doi:10.1145/3647444.3647840","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3647444.3647840","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Information Management & Machine Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081980401","display_name":"Helen Josephine V L","orcid":"https://orcid.org/0000-0003-2896-7005"},"institutions":[{"id":"https://openalex.org/I48018076","display_name":"Christ University","ror":"https://ror.org/022tv9y30","country_code":"IN","type":"education","lineage":["https://openalex.org/I48018076"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Helen Josephine","raw_affiliation_strings":["Business Analytics, School of Business and Management, Christ University, India"],"affiliations":[{"raw_affiliation_string":"Business Analytics, School of Business and Management, Christ University, India","institution_ids":["https://openalex.org/I48018076"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102889852","display_name":"Dhivya Rajan","orcid":"https://orcid.org/0009-0005-8737-8253"},"institutions":[{"id":"https://openalex.org/I4210104573","display_name":"CMR University","ror":"https://ror.org/015waqy33","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210104573"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Dhivya Rajan","raw_affiliation_strings":["Master of Computer Applications, , CMR Institute of Technology, India"],"affiliations":[{"raw_affiliation_string":"Master of Computer Applications, , CMR Institute of Technology, India","institution_ids":["https://openalex.org/I4210104573"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020419365","display_name":"Justin Joy","orcid":"https://orcid.org/0000-0002-6482-1057"},"institutions":[{"id":"https://openalex.org/I48018076","display_name":"Christ University","ror":"https://ror.org/022tv9y30","country_code":"IN","type":"education","lineage":["https://openalex.org/I48018076"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Justin Joy","raw_affiliation_strings":["SBM, Christ (Deemed to be University), School of Business and Management, Christ University, India"],"affiliations":[{"raw_affiliation_string":"SBM, Christ (Deemed to be University), School of Business and Management, Christ University, India","institution_ids":["https://openalex.org/I48018076"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5081980401"],"corresponding_institution_ids":["https://openalex.org/I48018076"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27762992,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14260","display_name":"Impact of AI and Big Data on Business and Society","score":0.9593999981880188,"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"}},"topics":[{"id":"https://openalex.org/T14260","display_name":"Impact of AI and Big Data on Business and Society","score":0.9593999981880188,"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/T11891","display_name":"Big Data and Business Intelligence","score":0.9448000192642212,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T14069","display_name":"Scientific Research Methodologies and Applications","score":0.9337999820709229,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/fast-moving-consumer-goods","display_name":"Fast-moving consumer goods","score":0.6565414667129517},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.6375545263290405},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.5042506456375122},{"id":"https://openalex.org/keywords/consumer-behaviour","display_name":"Consumer behaviour","score":0.4175059497356415},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3941797912120819},{"id":"https://openalex.org/keywords/advertising","display_name":"Advertising","score":0.3792223334312439}],"concepts":[{"id":"https://openalex.org/C2778738759","wikidata":"https://www.wikidata.org/wiki/Q1187656","display_name":"Fast-moving consumer goods","level":2,"score":0.6565414667129517},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.6375545263290405},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.5042506456375122},{"id":"https://openalex.org/C23213687","wikidata":"https://www.wikidata.org/wiki/Q301468","display_name":"Consumer behaviour","level":2,"score":0.4175059497356415},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3941797912120819},{"id":"https://openalex.org/C112698675","wikidata":"https://www.wikidata.org/wiki/Q37038","display_name":"Advertising","level":1,"score":0.3792223334312439}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3647444.3647840","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3647444.3647840","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Information Management & Machine Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2889565515","https://openalex.org/W2981485148","https://openalex.org/W2997998108","https://openalex.org/W3162723101","https://openalex.org/W3183956409","https://openalex.org/W4308308022","https://openalex.org/W4312595415","https://openalex.org/W4385464689"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2985588754","https://openalex.org/W2562879189","https://openalex.org/W4230289355","https://openalex.org/W3132716659","https://openalex.org/W1562991075","https://openalex.org/W2187644337","https://openalex.org/W2011213513","https://openalex.org/W2038875580","https://openalex.org/W2087700723"],"abstract_inverted_index":{"With":[0],"numerous":[1],"businesses":[2,34],"offering":[3],"clients":[4],"equivalent":[5],"products,":[6],"the":[7,40,65,78,89,95,109,112,117,126,131,138,161,169,188,194,208,213],"FMCG":[8,173],"(Fast":[9],"Moving":[10],"Consumer":[11],"Goods)":[12],"industry":[13],"is":[14,29,49,57],"very":[15],"competitive.":[16],"Retaining":[17],"client":[18],"loyalty":[19],"and":[20,72,93,114,119,137,155,181,211],"encouraging":[21],"them":[22],"to":[23,25,47,53,87,186,216],"return":[24],"make":[26],"product":[27],"purchases":[28],"a":[30,58,152,165],"big":[31],"concern":[32],"for":[33,172,203],"in":[35,98,168,207],"this":[36,43,104],"sector.":[37],"One":[38],"of":[39,111],"main":[41],"issues":[42,82],"bleak":[44],"business":[45,195],"needs":[46],"overcome":[48],"customer":[50,90,139],"retention.":[51],"Failure":[52],"repurchase":[54,91,146],"by":[55,85],"customers":[56],"sign":[59],"that":[60,101,158,200],"they":[61,128,133,141],"do":[62],"not":[63,115],"trust":[64],"brand,":[66],"which":[67],"will":[68],"increase":[69],"attrition":[70],"rates":[71],"have":[73,142],"an":[74],"adverse":[75],"effect":[76],"on":[77],"company's":[79],"revenue.":[80],"These":[81],"were":[83],"addressed":[84],"attempting":[86],"predict":[88],"rate":[92],"approaching":[94],"target":[96],"segments":[97],"accordance":[99],"with":[100],"prediction,":[102],"but":[103],"was":[105,184],"done":[106],"entirely":[107],"from":[108,116],"perspective":[110],"consumer":[113],"retailer,":[118],"it":[120],"ignores":[121],"other":[122],"factors":[123],"like":[124,177],"location,":[125],"salespeople":[127],"work":[129],"with,":[130,136],"wholesaler":[132],"are":[134,201],"affiliated":[135],"programme":[140],"chosen.":[143],"The":[144],"retailer's":[145],"pattern":[147],"must":[148],"be":[149],"predicted":[150],"using":[151],"more":[153],"accurate":[154],"effective":[156],"model":[157],"considers":[159],"all":[160],"variables.":[162],"Retailers":[163],"play":[164],"significant":[166],"role":[167],"supply":[170],"chain":[171],"businesses.":[174],"Different":[175],"models":[176],"KNN,":[178],"Na\u00efve":[179],"Bayes":[180],"Logistic":[182],"Regression":[183],"explored":[185],"find":[187],"best":[189],"fit.":[190],"By":[191],"keeping":[192],"them,":[193],"can":[196],"forge":[197],"enduring":[198],"connections":[199],"crucial":[202],"preserving":[204],"stabilityand":[205],"dependability":[206],"distribution":[209],"network":[210],"having":[212],"resources":[214],"necessary":[215],"serve":[217],"its":[218],"clients.":[219]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}