{"id":"https://openalex.org/W4403212823","doi":"https://doi.org/10.1109/icecet61485.2024.10698580","title":"Enhancing Profitability through AI-Optimized Accounts Receivable: Reducing Cash Conversion Cycles","display_name":"Enhancing Profitability through AI-Optimized Accounts Receivable: Reducing Cash Conversion Cycles","publication_year":2024,"publication_date":"2024-07-25","ids":{"openalex":"https://openalex.org/W4403212823","doi":"https://doi.org/10.1109/icecet61485.2024.10698580"},"language":"en","primary_location":{"id":"doi:10.1109/icecet61485.2024.10698580","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icecet61485.2024.10698580","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Electrical, Computer and Energy Technologies (ICECET","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/A5111356901","display_name":"Pragya Arora","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pragya Arora","raw_affiliation_strings":["Data Science &#x0026; Insights Genpact,Bangalore,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data Science &#x0026; Insights Genpact,Bangalore,India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107821080","display_name":"Lohith Desu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lohith Desu","raw_affiliation_strings":["Data Science &#x0026; Insights Genpact,Bangalore,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data Science &#x0026; Insights Genpact,Bangalore,India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100325449","display_name":"Ashish Kumar","orcid":"https://orcid.org/0000-0002-2003-6209"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ashish Kumar","raw_affiliation_strings":["Data Science &#x0026; Insights Genpact,Bangalore,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data Science &#x0026; Insights Genpact,Bangalore,India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111356902","display_name":"Ravi Kumar S","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ravi Kumar S","raw_affiliation_strings":["Data Science &#x0026; Insights Genpact,Bangalore,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data Science &#x0026; Insights Genpact,Bangalore,India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107821081","display_name":"Adriana Marinescu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Adriana Marinescu","raw_affiliation_strings":["Data Science &#x0026; Insights Genpact,Bangalore,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data Science &#x0026; Insights Genpact,Bangalore,India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6686,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.87300907,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"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/T10517","display_name":"Financial Literacy, Pension, Retirement Analysis","score":0.5461999773979187,"subfield":{"id":"https://openalex.org/subfields/1402","display_name":"Accounting"},"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/T10517","display_name":"Financial Literacy, Pension, Retirement Analysis","score":0.5461999773979187,"subfield":{"id":"https://openalex.org/subfields/1402","display_name":"Accounting"},"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/T11995","display_name":"FinTech, Crowdfunding, Digital Finance","score":0.545199990272522,"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/T11653","display_name":"Financial Distress and Bankruptcy Prediction","score":0.4771000146865845,"subfield":{"id":"https://openalex.org/subfields/1402","display_name":"Accounting"},"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/accounts-receivable","display_name":"Accounts receivable","score":0.9194211363792419},{"id":"https://openalex.org/keywords/profitability-index","display_name":"Profitability index","score":0.8840007781982422},{"id":"https://openalex.org/keywords/cash-conversion-cycle","display_name":"Cash conversion cycle","score":0.6086887717247009},{"id":"https://openalex.org/keywords/cash","display_name":"Cash","score":0.5191618204116821},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4546239674091339},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.324982225894928},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.2658369541168213},{"id":"https://openalex.org/keywords/operating-cash-flow","display_name":"Operating cash flow","score":0.12921932339668274}],"concepts":[{"id":"https://openalex.org/C202451310","wikidata":"https://www.wikidata.org/wiki/Q328554","display_name":"Accounts receivable","level":2,"score":0.9194211363792419},{"id":"https://openalex.org/C129361004","wikidata":"https://www.wikidata.org/wiki/Q2470236","display_name":"Profitability index","level":2,"score":0.8840007781982422},{"id":"https://openalex.org/C110000284","wikidata":"https://www.wikidata.org/wiki/Q1499557","display_name":"Cash conversion cycle","level":4,"score":0.6086887717247009},{"id":"https://openalex.org/C2778083465","wikidata":"https://www.wikidata.org/wiki/Q693464","display_name":"Cash","level":2,"score":0.5191618204116821},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4546239674091339},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.324982225894928},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.2658369541168213},{"id":"https://openalex.org/C166819830","wikidata":"https://www.wikidata.org/wiki/Q2025903","display_name":"Operating cash flow","level":3,"score":0.12921932339668274}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icecet61485.2024.10698580","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icecet61485.2024.10698580","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Electrical, Computer and Energy Technologies (ICECET","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.6499999761581421}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1963773136","https://openalex.org/W2165108896","https://openalex.org/W3043559074","https://openalex.org/W3165443269","https://openalex.org/W4385287322","https://openalex.org/W4385311783","https://openalex.org/W4391470047","https://openalex.org/W6628691000"],"related_works":["https://openalex.org/W3211118516","https://openalex.org/W2167035395","https://openalex.org/W3134864421","https://openalex.org/W3122710666","https://openalex.org/W2351322377","https://openalex.org/W3092418490","https://openalex.org/W2185791808","https://openalex.org/W14343670","https://openalex.org/W2185355434","https://openalex.org/W2984921551"],"abstract_inverted_index":{"The":[0,40,81],"management":[1,112],"of":[2,61,73,85,99,121,129],"accounts":[3,62,100],"receivable":[4,63,101],"is":[5],"crucial":[6],"to":[7,32,52,58,93],"a":[8,86],"company's":[9],"profitability":[10,30],"and":[11,50,75,97,118,135],"overall":[12],"growth,":[13],"as":[14,108],"it":[15,104],"directly":[16],"influences":[17],"financial":[18],"performance.":[19],"Specifically,":[20],"firms":[21],"with":[22,34,125],"longer":[23],"cash":[24,36,78],"conversion":[25,37,79],"cycle":[26,38],"periods":[27],"exhibit":[28],"lower":[29],"compared":[31],"those":[33],"shorter":[35],"periods.":[39],"processes":[41],"involved":[42],"in":[43,123],"this":[44],"domain":[45],"are":[46],"often":[47],"laborious,":[48],"time-intensive,":[49],"susceptible":[51],"mistakes.":[53],"This":[54],"research":[55],"paper":[56],"aims":[57],"improve":[59,94],"efficiency":[60,96],"procedures":[64],"across":[65],"various":[66],"industries,":[67],"ultimately":[68],"enhancing":[69],"the":[70,77,95,119,137],"daily":[71],"operations":[72],"collectors":[74],"reducing":[76],"cycle.":[80],"proposed":[82],"solution":[83],"consists":[84],"comprehensive":[87],"architecture":[88],"which":[89],"leverages":[90],"Generative":[91],"AI":[92],"effectiveness":[98],"processing.":[102],"Additionally,":[103],"addresses":[105],"challenges":[106],"such":[107],"customer":[109,126],"segmentation,":[110],"credit":[111],"support,":[113],"collector":[114],"assistance,":[115],"dispute":[116],"verification,":[117],"customization":[120],"emails":[122],"accordance":[124],"strategies.":[127],"Integration":[128],"Langchain-based":[130],"QA":[131],"system":[132],"further":[133],"enhances":[134],"optimizes":[136],"business":[138],"operations.":[139]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
