{"id":"https://openalex.org/W4389042813","doi":"https://doi.org/10.1109/isncc58260.2023.10323888","title":"Vending Machine Product Demand Prediction Using Machine Learning Algorithms","display_name":"Vending Machine Product Demand Prediction Using Machine Learning Algorithms","publication_year":2023,"publication_date":"2023-10-23","ids":{"openalex":"https://openalex.org/W4389042813","doi":"https://doi.org/10.1109/isncc58260.2023.10323888"},"language":"en","primary_location":{"id":"doi:10.1109/isncc58260.2023.10323888","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isncc58260.2023.10323888","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Symposium on Networks, Computers and Communications (ISNCC)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/conference_contribution/Vending_Machine_Product_Demand_Prediction_Using_Machine_Learning_Algorithms/32555730","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002076811","display_name":"Umair Mehmood","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Umair Mehmood","raw_affiliation_strings":["Broderick Group Limited,Manchester,United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Broderick Group Limited,Manchester,United Kingdom","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088617561","display_name":"Ali Kashif Bashir","orcid":"https://orcid.org/0000-0003-2601-9327"},"institutions":[{"id":"https://openalex.org/I11983389","display_name":"Manchester Metropolitan University","ror":"https://ror.org/02hstj355","country_code":"GB","type":"education","lineage":["https://openalex.org/I11983389"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ali Kashif Bashir","raw_affiliation_strings":["Manchester Metropolitan University,Department of Computing and Mathematics,Manchester,United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Manchester Metropolitan University,Department of Computing and Mathematics,Manchester,United Kingdom","institution_ids":["https://openalex.org/I11983389"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030692615","display_name":"Khaled M. Rabie","orcid":"https://orcid.org/0000-0002-9784-3703"},"institutions":[{"id":"https://openalex.org/I11983389","display_name":"Manchester Metropolitan University","ror":"https://ror.org/02hstj355","country_code":"GB","type":"education","lineage":["https://openalex.org/I11983389"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Khaled Rabie","raw_affiliation_strings":["Manchester Metropolitan University,Department of Engineering,Manchester,United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Manchester Metropolitan University,Department of Engineering,Manchester,United Kingdom","institution_ids":["https://openalex.org/I11983389"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091334339","display_name":"John Broderick","orcid":"https://orcid.org/0000-0003-1486-9789"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"John Broderick","raw_affiliation_strings":["Broderick Group Limited,Manchester,United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Broderick Group Limited,Manchester,United Kingdom","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101475686","display_name":"Simon Davies","orcid":"https://orcid.org/0000-0001-9377-4539"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Simon Davies","raw_affiliation_strings":["Broderick Group Limited,Manchester,United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Broderick Group Limited,Manchester,United Kingdom","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11918","display_name":"Forecasting Techniques and Applications","score":0.9987999796867371,"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":0.9987999796867371,"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":0.9940000176429749,"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.9879000186920166,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6237549781799316},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5854893326759338},{"id":"https://openalex.org/keywords/revenue","display_name":"Revenue","score":0.585221529006958},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.501340389251709},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4927220642566681},{"id":"https://openalex.org/keywords/demand-forecasting","display_name":"Demand forecasting","score":0.4521021842956543},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4305489957332611},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.4154835343360901},{"id":"https://openalex.org/keywords/mean-absolute-error","display_name":"Mean absolute error","score":0.4154673218727112},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4045577645301819},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.39797157049179077},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.31550753116607666},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2227168083190918},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17997246980667114},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.15949448943138123},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1483273208141327},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.11921942234039307}],"concepts":[{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6237549781799316},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5854893326759338},{"id":"https://openalex.org/C195487862","wikidata":"https://www.wikidata.org/wiki/Q850210","display_name":"Revenue","level":2,"score":0.585221529006958},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.501340389251709},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4927220642566681},{"id":"https://openalex.org/C193809577","wikidata":"https://www.wikidata.org/wiki/Q3409300","display_name":"Demand forecasting","level":2,"score":0.4521021842956543},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4305489957332611},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.4154835343360901},{"id":"https://openalex.org/C188154048","wikidata":"https://www.wikidata.org/wiki/Q6803609","display_name":"Mean absolute error","level":3,"score":0.4154673218727112},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4045577645301819},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.39797157049179077},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.31550753116607666},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2227168083190918},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17997246980667114},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.15949448943138123},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1483273208141327},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.11921942234039307},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/isncc58260.2023.10323888","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isncc58260.2023.10323888","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Symposium on Networks, Computers and Communications (ISNCC)","raw_type":"proceedings-article"},{"id":"pmh:oai:e-space.mmu.ac.uk:642710","is_oa":false,"landing_page_url":"https://e-space.mmu.ac.uk/view/authors/aa810054662093994e6fff167e9d7a16.html>","pdf_url":null,"source":{"id":"https://openalex.org/S4306401617","display_name":"e-space (Manchester Metropolitan University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I11983389","host_organization_name":"Manchester Metropolitan University","host_organization_lineage":["https://openalex.org/I11983389"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Conference or Workshop Item"},{"id":"pmh:oai:figshare.com:article/32555730","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Vending_Machine_Product_Demand_Prediction_Using_Machine_Learning_Algorithms/32555730","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"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":"Conference contribution"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/32555730","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Vending_Machine_Product_Demand_Prediction_Using_Machine_Learning_Algorithms/32555730","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"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":"Conference contribution"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.6399999856948853,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1895650610","https://openalex.org/W2041575913","https://openalex.org/W2156909104","https://openalex.org/W2295598076","https://openalex.org/W2592453717","https://openalex.org/W2747599906","https://openalex.org/W2921365672","https://openalex.org/W2997095118","https://openalex.org/W3016366056","https://openalex.org/W3102476541","https://openalex.org/W3126003412","https://openalex.org/W4200157301","https://openalex.org/W4206062825","https://openalex.org/W4225289215","https://openalex.org/W4296858591","https://openalex.org/W4308567448","https://openalex.org/W4320801909"],"related_works":["https://openalex.org/W4247388746","https://openalex.org/W2314720829","https://openalex.org/W3178576217","https://openalex.org/W4221063543","https://openalex.org/W4285794683","https://openalex.org/W4385195237","https://openalex.org/W4286256617","https://openalex.org/W4362673848","https://openalex.org/W4385577504","https://openalex.org/W4318676890"],"abstract_inverted_index":{"The":[0,37,74],"study":[1,38,157],"aims":[2],"to":[3,12,64,92,130],"leverage":[4],"the":[5,22,58,71,82,94,100,106,111,124,132,139,142,148,156,159,192],"vending":[6,72,175,193],"machine's":[7],"historic":[8,88],"product":[9,172],"sales":[10,89,127],"data":[11,90],"predict":[13],"future":[14,171],"demand":[15,173],"using":[16],"machine":[17],"learning":[18],"(ML)":[19],"techniques":[20,164],"with":[21,145],"goal":[23],"of":[24,61,105,123,141,153,161],"strategic":[25,179],"inventory":[26,180],"planning,":[27,181],"reducing":[28],"stock":[29,183],"waste,":[30,184],"and":[31,35,51,126,165,188],"increasing":[32],"operational":[33,186],"efficiency":[34,187],"revenue.":[36],"deploys":[39],"different":[40],"ML":[41,66,143,163],"algorithms":[42,144],"including":[43],"XGBoost,":[44],"FB":[45],"Prophet,":[46],"Autoregressive":[47],"Integrated":[48],"Moving":[49],"Average":[50],"Support":[52],"Vector":[53],"Regression.":[54],"This":[55],"is":[56,76],"among":[57],"first":[59,83],"studies":[60],"its":[62],"kind":[63],"explore":[65],"for":[67,174,191],"predictive":[68],"restocking":[69],"in":[70,103,168],"industry.":[73,194],"experiment":[75],"divided":[77],"into":[78],"two":[79],"parts.":[80],"In":[81,110],"part,":[84,113],"we":[85,114],"used":[86,115],"common":[87],"variables":[91,136],"make":[93,131],"prediction":[95],"where":[96],"XGBoost":[97,146],"emerged":[98],"as":[99,119],"best-performing":[101],"model":[102],"terms":[104],"mean":[107,150],"absolute":[108,151],"error.":[109],"second":[112],"additional":[116,135,166],"features":[117,167],"such":[118],"public":[120],"holidays,":[121],"day":[122],"week,":[125],"deviation":[128],"flags":[129],"prediction.":[133],"Using":[134],"slightly":[137],"improved":[138,185],"performance":[140],"having":[147],"lowest":[149],"error":[152],"8.":[154],"Overall,":[155],"demonstrates":[158],"efficacy":[160],"utilising":[162],"accurately":[169],"predicting":[170],"machines,":[176],"thus":[177],"enabling":[178],"minimised":[182],"increased":[189],"revenue":[190]},"counts_by_year":[{"year":2024,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
