{"id":"https://openalex.org/W7225613105","doi":"https://doi.org/10.33774/coe-2026-zn614","title":"AI-based customer segmentation","display_name":"AI-based customer segmentation","publication_year":2026,"publication_date":"2026-11-09","ids":{"openalex":"https://openalex.org/W7225613105","doi":"https://doi.org/10.33774/coe-2026-zn614"},"language":"en","primary_location":{"id":"doi:10.33774/coe-2026-zn614","doi":"https://doi.org/10.33774/coe-2026-zn614","is_oa":true,"landing_page_url":"https://doi.org/10.33774/coe-2026-zn614","pdf_url":"https://www.cambridge.org/engage/api-gateway/coe/assets/orp/resource/item/6aaab3f64770e67d92d6e225/original/ai-based-customer-segmentation.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"posted-content"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.cambridge.org/engage/api-gateway/coe/assets/orp/resource/item/6aaab3f64770e67d92d6e225/original/ai-based-customer-segmentation.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5161317413","display_name":"Vridhi babbar","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I186246823","display_name":"University of Lucknow","ror":"https://ror.org/03bdeag60","country_code":"IN","type":"education","lineage":["https://openalex.org/I186246823"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Vridhi babbar","raw_affiliation_strings":["Institute of management and sciences, University of lucknow"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of management and sciences, University of lucknow","institution_ids":["https://openalex.org/I186246823"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5161317413"],"corresponding_institution_ids":["https://openalex.org/I186246823"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12384","display_name":"Customer churn and segmentation","score":0.9887999892234802,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12384","display_name":"Customer churn and segmentation","score":0.9887999892234802,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"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/T12128","display_name":"AI in Service Interactions","score":0.004800000227987766,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"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/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.00139999995008111,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/behavioral-segmentation","display_name":"behavioral segmentation","score":0.7289999723434448},{"id":"https://openalex.org/keywords/micro-segmentation","display_name":"micro-segmentation","score":0.9359999895095825},{"id":"https://openalex.org/keywords/rfm-analysis","display_name":"RFM analysis","score":0.9739999771118164},{"id":"https://openalex.org/keywords/personalized-recommendation","display_name":"personalized recommendation","score":0.6389999985694885},{"id":"https://openalex.org/keywords/dynamic-pricing","display_name":"dynamic pricing","score":0.996999979019165},{"id":"https://openalex.org/keywords/customer-churn-prediction","display_name":"customer churn prediction","score":0.9729999899864197},{"id":"https://openalex.org/keywords/cross-selling","display_name":"cross-selling","score":0.9990000128746033},{"id":"https://openalex.org/keywords/clustering","display_name":"clustering","score":0.4970000088214874},{"id":"https://openalex.org/keywords/data-privacy","display_name":"data privacy","score":0.6259999871253967},{"id":"https://openalex.org/keywords/digital-personal-data-protection-act-2023","display_name":"Digital Personal Data Protection Act 2023","score":0.9160000085830688},{"id":"https://openalex.org/keywords/algorithmic-bias","display_name":"algorithmic bias","score":0.9649999737739563},{"id":"https://openalex.org/keywords/interpretability","display_name":"interpretability","score":0.652999997138977},{"id":"https://openalex.org/keywords/over-segmentation","display_name":"over-segmentation","score":0.8009999990463257},{"id":"https://openalex.org/keywords/marketing-analytics","display_name":"marketing analytics","score":0.5479999780654907}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8539000153541565},{"id":"https://openalex.org/C125308379","wikidata":"https://www.wikidata.org/wiki/Q363057","display_name":"Market segmentation","level":2,"score":0.7450000047683716},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7139999866485596},{"id":"https://openalex.org/C2776548248","wikidata":"https://www.wikidata.org/wiki/Q12621536","display_name":"Judgement","level":2,"score":0.6168000102043152},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5856999754905701},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5145000219345093},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.5112000107765198},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4982999861240387},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4307999908924103},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4287000000476837},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3813000023365021},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.38029998540878296},{"id":"https://openalex.org/C2779879191","wikidata":"https://www.wikidata.org/wiki/Q1924293","display_name":"Database marketing","level":4,"score":0.3411000072956085},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.3325999975204468},{"id":"https://openalex.org/C57660159","wikidata":"https://www.wikidata.org/wiki/Q5196460","display_name":"Customer intelligence","level":5,"score":0.28529998660087585},{"id":"https://openalex.org/C175801342","wikidata":"https://www.wikidata.org/wiki/Q1988917","display_name":"Data analysis","level":2,"score":0.27730000019073486},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.27059999108314514},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.2705000042915344},{"id":"https://openalex.org/C16023879","wikidata":"https://www.wikidata.org/wiki/Q1023599","display_name":"CHAID","level":3,"score":0.26179999113082886},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.2542000114917755},{"id":"https://openalex.org/C98825075","wikidata":"https://www.wikidata.org/wiki/Q485643","display_name":"Customer relationship management","level":2,"score":0.2538999915122986}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.33774/coe-2026-zn614","doi":"https://doi.org/10.33774/coe-2026-zn614","is_oa":true,"landing_page_url":"https://doi.org/10.33774/coe-2026-zn614","pdf_url":"https://www.cambridge.org/engage/api-gateway/coe/assets/orp/resource/item/6aaab3f64770e67d92d6e225/original/ai-based-customer-segmentation.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"posted-content"}],"best_oa_location":{"id":"doi:10.33774/coe-2026-zn614","doi":"https://doi.org/10.33774/coe-2026-zn614","is_oa":true,"landing_page_url":"https://doi.org/10.33774/coe-2026-zn614","pdf_url":"https://www.cambridge.org/engage/api-gateway/coe/assets/orp/resource/item/6aaab3f64770e67d92d6e225/original/ai-based-customer-segmentation.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"posted-content"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7225613105.pdf","grobid_xml":"https://content.openalex.org/works/W7225613105.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4409395841","https://openalex.org/W4399753273","https://openalex.org/W7221530536","https://openalex.org/W7203707807","https://openalex.org/W7218057420","https://openalex.org/W7156880404","https://openalex.org/W4398243473","https://openalex.org/W7219581987","https://openalex.org/W7133012683","https://openalex.org/W4411001201"],"abstract_inverted_index":{"This":[0],"paper":[1,89,152],"examines":[2],"how":[3,110],"artificial":[4],"intelligence":[5],"is":[6,112],"reshaping":[7],"customer":[8,231],"segmentation":[9,26,45],"in":[10,38,147,204],"marketing,":[11,230],"moving":[12],"the":[13,91,95,148,155,175,182,199],"practice":[14],"from":[15,59,94,211],"a":[16,21,41,86],"periodic,":[17],"demographics-driven":[18],"exercise":[19],"to":[20,54,75,215,218],"continuous,":[22],"behaviour-driven":[23],"one.":[24],"Traditional":[25],"relies":[27],"on":[28,189,217],"fixed":[29],"variables":[30,214],"such":[31,51],"as":[32,52],"age,":[33],"income":[34],"and":[35,69,102,108,121,133,137,181],"location,":[36],"decided":[37],"advance":[39],"by":[40],"marketing":[42,202,238],"manager.":[43],"AI-based":[44],"instead":[46],"uses":[47],"machine":[48,233],"learning":[49],"techniques":[50],"clustering":[53],"discover":[55],"natural":[56],"groupings":[57],"directly":[58],"behavioural":[60,129],"data":[61,161,172],"\u2014":[62,72],"browsing":[63],"patterns,":[64],"purchase":[65],"history,":[66],"app":[67],"usage":[68],"similar":[70],"signals":[71],"allowing":[73],"segments":[74,222],"update":[76],"continuously":[77],"rather":[78],"than":[79],"being":[80],"revisited":[81],"only":[82],"once":[83],"or":[84],"twice":[85],"year.":[87],"The":[88,151],"traces":[90],"conceptual":[92],"shift":[93],"classic":[96],"STP":[97,235],"(Segmentation,":[98],"Targeting,":[99],"Positioning)":[100],"framework":[101],"RFM":[103],"analysis":[104],"towards":[105],"AI-driven":[106,141,229],"micro-segmentation,":[107],"reviews":[109],"this":[111,158],"applied":[113],"across":[114],"personalised":[115],"recommendations,":[116],"dynamic":[117],"pricing,":[118],"churn":[119],"prediction,":[120],"cross-selling.":[122],"Three":[123],"case":[124],"studies":[125],"are":[126,223],"discussed:":[127],"Amazon's":[128],"recommendation":[130],"system,":[131],"Netflix":[132],"Spotify's":[134],"taste-based":[135],"clustering,":[136],"Myntra's":[138],"use":[139],"of":[140,157,177],"micro-segmentation":[142],"during":[143],"high-volume":[144],"sale":[145],"events":[146],"Indian":[149],"market.":[150],"also":[153],"considers":[154],"limitations":[156],"approach,":[159],"including":[160],"privacy":[162],"concerns":[163],"under":[164],"India's":[165],"Digital":[166],"Personal":[167],"Data":[168],"Protection":[169],"Act,":[170],"2023,":[171],"quality":[173],"issues,":[174],"risk":[176],"over-segmentation,":[178],"algorithmic":[179],"bias,":[180],"interpretability":[183],"challenges":[184],"that":[185,194,209],"come":[186],"with":[187],"relying":[188],"machine-generated":[190],"clusters.":[191],"It":[192],"concludes":[193],"AI":[195],"does":[196],"not":[197],"eliminate":[198],"need":[200],"for":[201],"judgement":[203,210],"segmentation;":[205],"rather,":[206],"it":[207],"shifts":[208],"choosing":[212],"which":[213,220],"segment":[216],"deciding":[219],"algorithm-generated":[221],"commercially":[224],"worth":[225],"acting":[226],"on.":[227],"Keywords:":[228],"segmentation,":[232],"learning,":[234],"framework,":[236],"personalization,":[237],"analytics":[239]},"counts_by_year":[],"updated_date":"2026-11-11T12:16:26.678958","created_date":"2026-11-10T00:00:00"}
