{"id":"https://openalex.org/W7225564636","doi":"https://doi.org/10.5281/zenodo.24047479","title":"AI-Driven Platform for Predictive Customer Retention","display_name":"AI-Driven Platform for Predictive Customer Retention","publication_year":2026,"publication_date":"2026-11-08","ids":{"openalex":"https://openalex.org/W7225564636","doi":"https://doi.org/10.5281/zenodo.24047479"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.24047479","doi":"https://doi.org/10.5281/zenodo.24047479","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.24047479","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5281/zenodo.24047479","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5123304122","display_name":"Aditya Khandagale","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210162439","display_name":"MIT Art, Design and Technology University","ror":"https://ror.org/05b69xa56","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210162439"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Aditya Khandagale","raw_affiliation_strings":["MIT Art, Design and Technology University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MIT Art, Design and Technology University","institution_ids":["https://openalex.org/I4210162439"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134546644","display_name":"Anshul Bhilare","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210162439","display_name":"MIT Art, Design and Technology University","ror":"https://ror.org/05b69xa56","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210162439"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Anshul Bhilare","raw_affiliation_strings":["MIT Art, Design and Technology University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MIT Art, Design and Technology University","institution_ids":["https://openalex.org/I4210162439"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134555566","display_name":"Vedant Sasane","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210162439","display_name":"MIT Art, Design and Technology University","ror":"https://ror.org/05b69xa56","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210162439"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vedant Sasane","raw_affiliation_strings":["MIT Art, Design and Technology University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MIT Art, Design and Technology University","institution_ids":["https://openalex.org/I4210162439"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5134511679","display_name":"Akash Autade","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210162439","display_name":"MIT Art, Design and Technology University","ror":"https://ror.org/05b69xa56","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210162439"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Akash Autade","raw_affiliation_strings":["MIT Art, Design and Technology University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MIT Art, Design and Technology University","institution_ids":["https://openalex.org/I4210162439"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210162439"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"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":1.0,"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":1.0,"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/T13812","display_name":"AI and HR Technologies","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1407","display_name":"Organizational Behavior and Human Resource Management"},"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/T10154","display_name":"Customer Service Quality and Loyalty","score":0.0,"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/customer-retention","display_name":"customer retention","score":0.9369999766349792},{"id":"https://openalex.org/keywords/customer-churn-prediction","display_name":"customer churn prediction","score":0.8960000276565552},{"id":"https://openalex.org/keywords/customer-data-analysis","display_name":"customer data analysis","score":0.6869999766349792},{"id":"https://openalex.org/keywords/usage-patterns","display_name":"usage patterns","score":0.8259999752044678},{"id":"https://openalex.org/keywords/customer-demographics","display_name":"consumer demographics","score":0.7350000143051147}],"concepts":[{"id":"https://openalex.org/C101276457","wikidata":"https://www.wikidata.org/wiki/Q5196474","display_name":"Customer retention","level":4,"score":0.7585999965667725},{"id":"https://openalex.org/C83209312","wikidata":"https://www.wikidata.org/wiki/Q1053367","display_name":"Predictive analytics","level":2,"score":0.6665999889373779},{"id":"https://openalex.org/C57660159","wikidata":"https://www.wikidata.org/wiki/Q5196460","display_name":"Customer intelligence","level":5,"score":0.6362000107765198},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6341999769210815},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.48500001430511475},{"id":"https://openalex.org/C2780084366","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demographics","level":2,"score":0.46709999442100525},{"id":"https://openalex.org/C98825075","wikidata":"https://www.wikidata.org/wiki/Q485643","display_name":"Customer relationship management","level":2,"score":0.4171999990940094},{"id":"https://openalex.org/C2780866740","wikidata":"https://www.wikidata.org/wiki/Q5227345","display_name":"Data retention","level":2,"score":0.41690000891685486},{"id":"https://openalex.org/C31367271","wikidata":"https://www.wikidata.org/wiki/Q5196444","display_name":"Customer advocacy","level":4,"score":0.3725999891757965},{"id":"https://openalex.org/C63207073","wikidata":"https://www.wikidata.org/wiki/Q1076010","display_name":"Customer to customer","level":5,"score":0.3714999854564667},{"id":"https://openalex.org/C130721881","wikidata":"https://www.wikidata.org/wiki/Q1146253","display_name":"Customer lifetime value","level":5,"score":0.3596999943256378},{"id":"https://openalex.org/C138744977","wikidata":"https://www.wikidata.org/wiki/Q5132438","display_name":"Clickstream","level":5,"score":0.3483000099658966},{"id":"https://openalex.org/C195094911","wikidata":"https://www.wikidata.org/wiki/Q14167904","display_name":"Process management","level":1,"score":0.3481999933719635},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.3441999852657318},{"id":"https://openalex.org/C2985250679","wikidata":"https://www.wikidata.org/wiki/Q984142","display_name":"Customer experience","level":2,"score":0.33309999108314514},{"id":"https://openalex.org/C2776915394","wikidata":"https://www.wikidata.org/wiki/Q5196451","display_name":"Customer engagement","level":3,"score":0.32420000433921814},{"id":"https://openalex.org/C118643609","wikidata":"https://www.wikidata.org/wiki/Q189210","display_name":"Web application","level":2,"score":0.31279999017715454},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.31189998984336853},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.3018999993801117},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.29820001125335693},{"id":"https://openalex.org/C43595421","wikidata":"https://www.wikidata.org/wiki/Q7939596","display_name":"Voice of the customer","level":5,"score":0.28760001063346863},{"id":"https://openalex.org/C7946844","wikidata":"https://www.wikidata.org/wiki/Q2264604","display_name":"Retention Management","level":2,"score":0.28529998660087585},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2770000100135803},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.2671999931335449},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.2623000144958496},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.2612000107765198},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.25529998540878296},{"id":"https://openalex.org/C53100981","wikidata":"https://www.wikidata.org/wiki/Q5196454","display_name":"Customer equity","level":5,"score":0.2524999976158142}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5281/zenodo.24047479","doi":"https://doi.org/10.5281/zenodo.24047479","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.24047479","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},{"id":"doi:10.5281/zenodo.24047480","doi":"https://doi.org/10.5281/zenodo.24047480","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.24047480","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.5281/zenodo.24047479","doi":"https://doi.org/10.5281/zenodo.24047479","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.24047479","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7224953963","https://openalex.org/W7170052054","https://openalex.org/W4412096886","https://openalex.org/W7202206878","https://openalex.org/W7163357594","https://openalex.org/W7163895221","https://openalex.org/W7079664349","https://openalex.org/W7164165955","https://openalex.org/W7153742308","https://openalex.org/W7161552313"],"abstract_inverted_index":{"Customer":[0],"retention":[1,29,102],"is":[2,12,110],"a":[3],"critical":[4],"challenge":[5],"for":[6,26],"businesses,":[7],"as":[8,47],"acquiring":[9],"new":[10],"customers":[11,32],"significantly":[13],"more":[14],"expensive":[15],"than":[16],"retaining":[17],"existing":[18],"ones.":[19],"This":[20],"project":[21],"presents":[22],"an":[23,67,74],"AI-driven":[24],"platform":[25,72],"predictive":[27,95],"customer":[28,44,106],"that":[30,82,94],"identifies":[31],"at":[33,112],"risk":[34],"of":[35,69],"churn":[36,56,86],"using":[37],"machine":[38],"learning":[39],"techniques.":[40],"The":[41,71,91],"system":[42],"analyzes":[43],"data":[45],"such":[46],"usage":[48],"patterns,":[49],"demographics":[50],"and":[51,65,88,104],"engagement":[52],"metrics":[53],"to":[54],"predict":[55],"probability.":[57],"[Model":[58],"name]":[59,64],"was":[60],"trained":[61],"on":[62],"[dataset":[63],"achieved":[66],"accuracy":[68],"[X%].":[70],"provides":[73],"interactive":[75],"web":[76],"interface,":[77],"built":[78],"with":[79],"[tech":[80],"stack],":[81],"lets":[83],"users":[84],"view":[85],"predictions":[87],"actionable":[89],"insights.":[90],"results":[92],"show":[93],"analytics":[96],"can":[97],"help":[98],"organizations":[99],"take":[100],"proactive":[101],"measures":[103],"reduce":[105],"loss.":[107],"Source":[108],"code":[109],"available":[111],"the":[113],"linked":[114],"GitHub":[115],"repository.":[116]},"counts_by_year":[],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2026-11-09T00:00:00"}