{"id":"https://openalex.org/W4410192136","doi":"https://doi.org/10.63125/mbbfw637","title":"A SYSTEMATIC REVIEW OF DEMAND FORECASTING MODELS FOR RETAIL E-COMMERCE ENHANCING ACCURACY IN INVENTORY AND DELIVERY PLANNING","display_name":"A SYSTEMATIC REVIEW OF DEMAND FORECASTING MODELS FOR RETAIL E-COMMERCE ENHANCING ACCURACY IN INVENTORY AND DELIVERY PLANNING","publication_year":2025,"publication_date":"2025-03-01","ids":{"openalex":"https://openalex.org/W4410192136","doi":"https://doi.org/10.63125/mbbfw637"},"language":"en","primary_location":{"id":"doi:10.63125/mbbfw637","doi":"https://doi.org/10.63125/mbbfw637","is_oa":true,"landing_page_url":"https://doi.org/10.63125/mbbfw637","pdf_url":"https://ijsir.org/index.php/IJSIR/article/download/1/1","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Scientific Interdisciplinary Research","raw_type":"journal-article"},"volume":null,"type":"review","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ijsir.org/index.php/IJSIR/article/download/1/1","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Industrial Engineer, Supply Chain Manager, Seattle, WA, USA","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Industrial Engineer, Supply Chain Manager, Seattle, WA, USA","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083768567","display_name":"Abdur Razzak Chowdhury","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Abdur Razzak Chowdhury","raw_affiliation_strings":["Industrial Engineer, Supply Chain Manager, Seattle, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Industrial Engineer, Supply Chain Manager, Seattle, WA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Rajesh Paul","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I169077156","display_name":"St. Francis College","ror":"https://ror.org/00571jt67","country_code":"US","type":"education","lineage":["https://openalex.org/I169077156"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rajesh Paul","raw_affiliation_strings":["MSc in Business Analyst, St. Francis College, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MSc in Business Analyst, St. Francis College, NY, USA","institution_ids":["https://openalex.org/I169077156"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5105020016","display_name":"Farhana Zaman Rozony","orcid":"https://orcid.org/0009-0000-0894-2455","observed_orcids":["https://orcid.org/0009-0000-0894-2455"]},"institutions":[{"id":"https://openalex.org/I177898655","display_name":"Lamar University","ror":"https://ror.org/008ms5s18","country_code":"US","type":"education","lineage":["https://openalex.org/I177898655"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Farhana Zaman Rozony","raw_affiliation_strings":["Master of Science in Management Information Systems, College of Business, Lamar University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Master of Science in Management Information Systems, College of Business, Lamar University, USA","institution_ids":["https://openalex.org/I177898655"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.5313,"has_fulltext":true,"cited_by_count":34,"citation_normalized_percentile":{"value":0.93668529,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"06","issue":"01","first_page":"01","last_page":"27"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11918","display_name":"Forecasting Techniques and Applications","score":0.9994999766349792,"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":0.9994999766349792,"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/T10328","display_name":"Supply Chain and Inventory Management","score":0.00019999999494757503,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/demand-forecasting","display_name":"demand forecasting","score":0.9810000061988831},{"id":"https://openalex.org/keywords/online-retail","display_name":"online retail","score":0.9980000257492065},{"id":"https://openalex.org/keywords/inventory-management","display_name":"inventory management","score":0.8109999895095825},{"id":"https://openalex.org/keywords/delivery-planning","display_name":"delivery planning","score":0.9879999756813049},{"id":"https://openalex.org/keywords/forecasting-model-comparison","display_name":"forecasting model comparison","score":0.5889999866485596},{"id":"https://openalex.org/keywords/arima","display_name":"ARIMA","score":0.8849999904632568},{"id":"https://openalex.org/keywords/sarima-model","display_name":"SARIMA","score":0.7639999985694885},{"id":"https://openalex.org/keywords/exponential-smoothing","display_name":"exponential smoothing","score":0.9919999837875366},{"id":"https://openalex.org/keywords/random-forest","display_name":"random forest","score":0.7749999761581421},{"id":"https://openalex.org/keywords/support-vector-regression","display_name":"support vector regression","score":0.8880000114440918},{"id":"https://openalex.org/keywords/ensemble-methods","display_name":"ensemble methods","score":0.8669999837875366},{"id":"https://openalex.org/keywords/deep-learning","display_name":"deep learning","score":0.6449999809265137},{"id":"https://openalex.org/keywords/lstm","display_name":"LSTM","score":0.9200000166893005},{"id":"https://openalex.org/keywords/gru","display_name":"GRU","score":0.6650000214576721},{"id":"https://openalex.org/keywords/transformer","display_name":"transformer models","score":0.7350000143051147},{"id":"https://openalex.org/keywords/stockouts","display_name":"stockouts","score":0.7429999709129333},{"id":"https://openalex.org/keywords/overstocking","display_name":"overstocking","score":0.8059999942779541},{"id":"https://openalex.org/keywords/supply-chain-responsiveness","display_name":"supply chain responsiveness","score":0.7310000061988831},{"id":"https://openalex.org/keywords/enterprise-resource-planning","display_name":"enterprise resource planning","score":0.7960000038146973}],"concepts":[{"id":"https://openalex.org/C193809577","wikidata":"https://www.wikidata.org/wiki/Q3409300","display_name":"Demand forecasting","level":2,"score":0.695787787437439},{"id":"https://openalex.org/C78597825","wikidata":"https://www.wikidata.org/wiki/Q484847","display_name":"E-commerce","level":2,"score":0.5028190016746521},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3989894688129425},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.3942410349845886},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3333309292793274},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.20693501830101013},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12812283635139465},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.08616781234741211}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.63125/mbbfw637","doi":"https://doi.org/10.63125/mbbfw637","is_oa":true,"landing_page_url":"https://doi.org/10.63125/mbbfw637","pdf_url":"https://ijsir.org/index.php/IJSIR/article/download/1/1","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Scientific Interdisciplinary Research","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.63125/mbbfw637","doi":"https://doi.org/10.63125/mbbfw637","is_oa":true,"landing_page_url":"https://doi.org/10.63125/mbbfw637","pdf_url":"https://ijsir.org/index.php/IJSIR/article/download/1/1","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Scientific Interdisciplinary Research","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[{"display_name":"Systematic Review","id":"https://openalex.org/study-designs/systematic-review"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4410192136.pdf","grobid_xml":"https://content.openalex.org/works/W4410192136.grobid-xml"},"referenced_works_count":71,"referenced_works":["https://openalex.org/W1497617446","https://openalex.org/W1979800559","https://openalex.org/W2009537245","https://openalex.org/W2019534238","https://openalex.org/W2055952128","https://openalex.org/W2133682169","https://openalex.org/W2304640842","https://openalex.org/W2399542702","https://openalex.org/W2584740271","https://openalex.org/W2584964979","https://openalex.org/W2796045805","https://openalex.org/W2802697587","https://openalex.org/W2808306038","https://openalex.org/W2883969807","https://openalex.org/W2888750138","https://openalex.org/W2898402666","https://openalex.org/W2899285790","https://openalex.org/W2902429578","https://openalex.org/W2909849206","https://openalex.org/W2953226774","https://openalex.org/W2963601403","https://openalex.org/W2982231416","https://openalex.org/W2999301586","https://openalex.org/W3012501803","https://openalex.org/W3034636172","https://openalex.org/W3094391261","https://openalex.org/W3135651435","https://openalex.org/W3151685851","https://openalex.org/W3174143294","https://openalex.org/W3206817059","https://openalex.org/W4210644774","https://openalex.org/W4210791750","https://openalex.org/W4220850595","https://openalex.org/W4302414119","https://openalex.org/W4393313252","https://openalex.org/W4398171044","https://openalex.org/W4401416438","https://openalex.org/W4401918091","https://openalex.org/W4403438860","https://openalex.org/W4404973221","https://openalex.org/W4405483171","https://openalex.org/W4406334465","https://openalex.org/W4406403241","https://openalex.org/W4407312485","https://openalex.org/W4407602967","https://openalex.org/W4407669075","https://openalex.org/W4407709763","https://openalex.org/W4407985902","https://openalex.org/W4408083436","https://openalex.org/W4408083463","https://openalex.org/W4408495730","https://openalex.org/W4408495972","https://openalex.org/W4408647313","https://openalex.org/W4408676230","https://openalex.org/W4408676265","https://openalex.org/W4408676798","https://openalex.org/W4408693291","https://openalex.org/W4408693358","https://openalex.org/W4408776987","https://openalex.org/W4408777101","https://openalex.org/W4408777161","https://openalex.org/W4408777877","https://openalex.org/W4409143346","https://openalex.org/W4409143590","https://openalex.org/W4409405994","https://openalex.org/W4409406505","https://openalex.org/W4409406743","https://openalex.org/W4409406901","https://openalex.org/W4409406920","https://openalex.org/W4409601824","https://openalex.org/W4409645348"],"related_works":["https://openalex.org/W4401366563","https://openalex.org/W4417224270","https://openalex.org/W4377001165","https://openalex.org/W4412996545","https://openalex.org/W4394910864","https://openalex.org/W4411640345","https://openalex.org/W4406023985","https://openalex.org/W4399609089","https://openalex.org/W7169670077","https://openalex.org/W4395955599"],"abstract_inverted_index":{"In":[0,265],"the":[1,68,110,122],"rapidly":[2],"evolving":[3],"landscape":[4],"of":[5,70,89,115,124,147],"retail":[6,125],"e-commerce,":[7],"characterized":[8],"by":[9,240,296],"volatile":[10,263],"consumer":[11],"behavior,":[12],"diverse":[13,282],"product":[14,283],"assortments,":[15],"and":[16,38,54,57,96,103,113,133,141,166,182,199,219,247,273,285,303,321,335,343],"fluctuating":[17],"market":[18],"conditions,":[19],"demand":[20,30,75,116,242,317],"forecasting":[21,31,117,148,245],"has":[22,78],"emerged":[23],"as":[24,44,157],"a":[25,45,86],"critical":[26],"strategic":[27],"capability.":[28],"Accurate":[29],"not":[32],"only":[33],"underpins":[34],"effective":[35,311],"inventory":[36,344],"management":[37,345],"delivery":[39],"planning":[40,76,341],"but":[41],"also":[42],"serves":[43],"cornerstone":[46],"for":[47,312],"optimizing":[48],"supply":[49],"chain":[50],"responsiveness,":[51],"minimizing":[52],"stockouts":[53],"overstock":[55],"situations,":[56],"enhancing":[58],"customer":[59],"satisfaction.":[60],"As":[61],"e-commerce":[62],"platforms":[63],"increasingly":[64],"embrace":[65],"data-driven":[66],"operations,":[67],"role":[69],"predictive":[71],"analytics":[72],"in":[73,237,276],"shaping":[74],"strategies":[77],"gained":[79],"unprecedented":[80],"prominence.":[81],"This":[82],"systematic":[83],"review":[84],"presents":[85],"comprehensive":[87],"synthesis":[88],"72":[90],"peer-reviewed":[91],"academic":[92],"articles,":[93],"industry":[94],"reports,":[95],"empirical":[97],"case":[98],"studies":[99,129,327],"published":[100],"between":[101],"2010":[102],"2024.":[104],"The":[105,127,222],"objective":[106],"is":[107],"to":[108,258],"evaluate":[109],"breadth,":[111],"depth,":[112],"evolution":[114],"methodologies":[118],"specifically":[119],"applied":[120,257],"within":[121,338],"context":[123],"e-commerce.":[126],"selected":[128],"were":[130],"rigorously":[131],"screened":[132],"categorized":[134],"based":[135],"on":[136],"methodological":[137],"foundations,":[138],"technological":[139],"sophistication,":[140],"practical":[142],"applications.":[143],"Four":[144],"major":[145],"categories":[146],"models":[149,233,269,291,308],"are":[150,309],"examined:":[151],"(1)":[152],"traditional":[153],"statistical":[154,190,232],"approaches,":[155],"such":[156],"AutoRegressive":[158],"Integrated":[159],"Moving":[160],"Average":[161],"(ARIMA),":[162],"Seasonal":[163],"ARIMA":[164],"(SARIMA),":[165],"exponential":[167],"smoothing":[168],"models;":[169],"(2)":[170],"machine":[171,193,267],"learning":[172,194,197,203,268,290],"techniques,":[173],"including":[174],"decision":[175],"trees,":[176],"random":[177],"forests,":[178],"support":[179],"vector":[180],"regression,":[181],"ensemble":[183],"methods;":[184],"(3)":[185],"hybrid":[186],"frameworks":[187],"that":[188,331],"integrate":[189],"modeling":[191],"with":[192,281],"or":[195,262],"deep":[196,202],"components;":[198],"(4)":[200],"advanced":[201],"architectures,":[204],"particularly":[205,310],"Long":[206],"Short-Term":[207],"Memory":[208],"(LSTM)":[209],"networks,":[210],"Gated":[211],"Recurrent":[212],"Units":[213],"(GRUs),":[214],"Convolutional":[215],"Neural":[216],"Networks":[217],"(CNNs),":[218],"transformer-based":[220],"models.":[221],"findings":[223],"reveal":[224],"distinct":[225],"performance":[226],"advantages":[227],"across":[228],"model":[229],"categories.":[230],"Traditional":[231],"demonstrate":[234],"continued":[235],"relevance":[236],"scenarios":[238],"marked":[239],"stable":[241],"patterns,":[243],"short":[244],"horizons,":[246],"limited":[248],"data":[249,279],"complexity.":[250],"However,":[251],"their":[252],"limitations":[253],"become":[254],"evident":[255],"when":[256],"highly":[259],"nonlinear,":[260],"sparse,":[261],"datasets.":[264],"contrast,":[266],"offer":[270],"enhanced":[271],"adaptability":[272],"accuracy,":[274],"especially":[275],"handling":[277],"high-dimensional":[278],"environments":[280],"lines":[284],"unpredictable":[286],"promotional":[287],"impacts.":[288],"Deep":[289],"further":[292],"advance":[293],"this":[294],"capability":[295],"capturing":[297],"complex":[298],"temporal":[299],"dynamics,":[300],"long-range":[301],"dependencies,":[302],"multivariate":[304],"input":[305],"streams.":[306],"These":[307],"SKU-level":[313],"forecasting,":[314],"where":[315],"product-specific":[316],"patterns":[318],"fluctuate":[319],"frequently":[320],"require":[322],"real-time":[323],"recalibration.":[324],"Many":[325],"reviewed":[326],"adopted":[328],"modular":[329],"architectures":[330],"allow":[332],"domain-specific":[333],"tuning":[334],"facilitate":[336],"deployment":[337],"enterprise":[339],"resource":[340],"(ERP)":[342],"systems.":[346]},"counts_by_year":[{"year":2026,"cited_by_count":21},{"year":2025,"cited_by_count":13}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2025-05-08T00:00:00"}