{"id":"https://openalex.org/W4414359403","doi":"https://doi.org/10.24963/ijcai.2025/1026","title":"PCAN: A Pandemic-Compatible Attentive Neural Network for Retail Sales Forecasting","display_name":"PCAN: A Pandemic-Compatible Attentive Neural Network for Retail Sales Forecasting","publication_year":2025,"publication_date":"2025-09-01","ids":{"openalex":"https://openalex.org/W4414359403","doi":"https://doi.org/10.24963/ijcai.2025/1026"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2025/1026","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2025/1026","pdf_url":"https://www.ijcai.org/proceedings/2025/1026.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2025/1026.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100373581","display_name":"Fan Li","orcid":"https://orcid.org/0000-0002-8195-7853"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Fan Li","raw_affiliation_strings":["University of New South Wales"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of New South Wales","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104171786","display_name":"Guoxuan Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guoxuan Wang","raw_affiliation_strings":["Johns Hopkins University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins University","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046630942","display_name":"Huiyu Chu","orcid":null},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Huiyu Chu","raw_affiliation_strings":["Technical University of Munich"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Munich","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069869295","display_name":"Dawei Cheng","orcid":"https://orcid.org/0000-0002-5877-7387"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dawei Cheng","raw_affiliation_strings":["Tongji University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tongji University","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087768777","display_name":"Xiaoyang Wang","orcid":"https://orcid.org/0000-0003-3554-3219"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xiaoyang Wang","raw_affiliation_strings":["University of New South Wales"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of New South Wales","institution_ids":["https://openalex.org/I31746571"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.32075869,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"9232","last_page":"9240"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11918","display_name":"Forecasting Techniques and Applications","score":0.8464000225067139,"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/T11918","display_name":"Forecasting Techniques and Applications","score":0.8464000225067139,"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.8349999785423279,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/supply-chain","display_name":"Supply chain","score":0.6478999853134155},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.5270000100135803},{"id":"https://openalex.org/keywords/production","display_name":"Production (economics)","score":0.5232999920845032},{"id":"https://openalex.org/keywords/demand-forecasting","display_name":"Demand forecasting","score":0.49380001425743103},{"id":"https://openalex.org/keywords/consumption","display_name":"Consumption (sociology)","score":0.474700003862381},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.4377000033855438},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.397599995136261},{"id":"https://openalex.org/keywords/retail-sales","display_name":"Retail sales","score":0.37709999084472656}],"concepts":[{"id":"https://openalex.org/C108713360","wikidata":"https://www.wikidata.org/wiki/Q1824206","display_name":"Supply chain","level":2,"score":0.6478999853134155},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5374000072479248},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.5270000100135803},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.5232999920845032},{"id":"https://openalex.org/C193809577","wikidata":"https://www.wikidata.org/wiki/Q3409300","display_name":"Demand forecasting","level":2,"score":0.49380001425743103},{"id":"https://openalex.org/C30772137","wikidata":"https://www.wikidata.org/wiki/Q5164762","display_name":"Consumption (sociology)","level":2,"score":0.474700003862381},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.4377000033855438},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.397599995136261},{"id":"https://openalex.org/C2991860356","wikidata":"https://www.wikidata.org/wiki/Q126793","display_name":"Retail sales","level":2,"score":0.37709999084472656},{"id":"https://openalex.org/C167017271","wikidata":"https://www.wikidata.org/wiki/Q7404313","display_name":"Sales and operations planning","level":3,"score":0.33390000462532043},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.32910001277923584},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.30959999561309814},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.28760001063346863},{"id":"https://openalex.org/C50942859","wikidata":"https://www.wikidata.org/wiki/Q4967193","display_name":"Rectification","level":3,"score":0.28130000829696655},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.2718999981880188},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.2702000141143799},{"id":"https://openalex.org/C2778397037","wikidata":"https://www.wikidata.org/wiki/Q17083947","display_name":"Supply chain network","level":4,"score":0.26969999074935913},{"id":"https://openalex.org/C44104985","wikidata":"https://www.wikidata.org/wiki/Q492886","display_name":"Supply chain management","level":3,"score":0.2648000121116638},{"id":"https://openalex.org/C31266012","wikidata":"https://www.wikidata.org/wiki/Q6554340","display_name":"Linkage (software)","level":3,"score":0.25839999318122864},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.2540000081062317}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2025/1026","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2025/1026","pdf_url":"https://www.ijcai.org/proceedings/2025/1026.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2025/1026","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2025/1026","pdf_url":"https://www.ijcai.org/proceedings/2025/1026.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4414359403.pdf","grobid_xml":"https://content.openalex.org/works/W4414359403.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0,191],"outbreak":[1],"of":[2,25,43],"pandemic":[3],"has":[4,193],"a":[5,22,88,110,123,143,149,202,207],"huge":[6],"impact":[7],"on":[8,115,163],"production":[9,37],"and":[10,39,59,67,137],"consumption":[11],"in":[12,28,78,118,142,158,196],"the":[13,18,29,41,47,52,60,100,105,119,131,170,177,187,197],"business":[14],"world,":[15],"especially":[16],"for":[17,36,75,93],"retail":[19,30,94,166],"sector.":[20],"As":[21],"crucial":[23],"component":[24,204],"decision-support":[26],"technology":[27],"industry,":[31],"sales":[32,76,95,106,136],"forecasting":[33,77],"is":[34,70,127],"significant":[35],"planning":[38],"optimizing":[40],"supply":[42,174,198],"essential":[44],"goods":[45],"during":[46],"pandemic.":[48],"However,":[49],"due":[50],"to":[51,98,129,154,205],"irregular":[53,101],"fluctuation":[54,102,111,156],"pattern":[55],"caused":[56],"by":[57],"uncertainty":[58],"complex":[61,132],"temporal":[62],"correlation":[63],"between":[64,134],"multiple":[65],"covariates":[66],"sales,":[68],"there":[69],"still":[71],"no":[72],"effective":[73],"approach":[74],"this":[79,84],"extreme":[80],"event.":[81],"To":[82],"fill":[83],"gap,":[85],"we":[86,108,147],"propose":[87],"Pandemic-Compatible":[89],"Attentive":[90],"Network":[91],"(PCAN)":[92],"forecasting.":[96],"Specifically,":[97],"capture":[99],"patterns":[103],"from":[104,169],"series,":[107],"design":[109],"attention":[112,125],"mechanism":[113],"based":[114],"association":[116],"discrepancy":[117],"time":[120],"series.":[121],"Then,":[122],"parallel":[124],"module":[126],"developed":[128],"learn":[130],"relationship":[133],"target":[135],"various":[138],"dynamic":[139],"influence":[140],"factors":[141],"decoupled":[144],"manner.":[145],"Finally,":[146],"introduce":[148],"novel":[150],"rectification":[151],"decoding":[152],"strategy":[153],"indicate":[155],"points":[157],"prediction.":[159],"By":[160],"evaluating":[161],"PCAN":[162],"four":[164],"real-world":[165],"food":[167,209],"datasets":[168],"SF":[171],"Express":[172],"international":[173],"chain":[175,199],"system,":[176],"results":[178],"show":[179],"that":[180],"our":[181],"method":[182],"achieves":[183],"superior":[184],"performance":[185],"over":[186],"existing":[188],"state-of-the-art":[189],"baselines.":[190],"model":[192],"been":[194],"deployed":[195],"system":[200],"as":[201],"fundamental":[203],"serve":[206],"world-leading":[208],"retailer.":[210]},"counts_by_year":[],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}
