{"id":"https://openalex.org/W4313491989","doi":"https://doi.org/10.1145/3570991.3571016","title":"Learning to Minimize Cost to Serve for Multi-Node Multi-Product Order Fulfilment in Electronic Commerce","display_name":"Learning to Minimize Cost to Serve for Multi-Node Multi-Product Order Fulfilment in Electronic Commerce","publication_year":2023,"publication_date":"2023-01-04","ids":{"openalex":"https://openalex.org/W4313491989","doi":"https://doi.org/10.1145/3570991.3571016"},"language":"en","primary_location":{"id":"doi:10.1145/3570991.3571016","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3570991.3571016","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5067249098","display_name":"Pranavi Pathakota","orcid":"https://orcid.org/0000-0002-2216-3623"},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Pranavi Pathakota","raw_affiliation_strings":["TCS Research, India"],"raw_orcid":"https://orcid.org/0000-0002-2216-3623","affiliations":[{"raw_affiliation_string":"TCS Research, India","institution_ids":["https://openalex.org/I55215948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076559857","display_name":"Kunwar Zaid","orcid":"https://orcid.org/0000-0002-8417-9196"},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kunwar Zaid","raw_affiliation_strings":["TCS Research, India"],"raw_orcid":"https://orcid.org/0000-0002-8417-9196","affiliations":[{"raw_affiliation_string":"TCS Research, India","institution_ids":["https://openalex.org/I55215948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005386369","display_name":"Anulekha Dhara","orcid":null},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Anulekha Dhara","raw_affiliation_strings":["TCS Research, India"],"raw_orcid":"https://orcid.org/0000-0002-1673-8005","affiliations":[{"raw_affiliation_string":"TCS Research, India","institution_ids":["https://openalex.org/I55215948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028455101","display_name":"Hardik Meisheri","orcid":"https://orcid.org/0000-0002-9014-1098"},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Hardik Meisheri","raw_affiliation_strings":["TCS Research, India"],"raw_orcid":"https://orcid.org/0000-0002-9014-1098","affiliations":[{"raw_affiliation_string":"TCS Research, India","institution_ids":["https://openalex.org/I55215948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032607630","display_name":"Shaun D'Souza","orcid":"https://orcid.org/0000-0002-2674-0846"},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shaun D'Souza","raw_affiliation_strings":["Tata Consultancy Services Ltd, India"],"raw_orcid":"https://orcid.org/0000-0002-2674-0846","affiliations":[{"raw_affiliation_string":"Tata Consultancy Services Ltd, India","institution_ids":["https://openalex.org/I55215948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072276044","display_name":"Dheeraj Shah","orcid":"https://orcid.org/0000-0001-9945-8924"},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Dheeraj Shah","raw_affiliation_strings":["Tata Consultancy Services Ltd, India"],"raw_orcid":"https://orcid.org/0000-0001-9945-8924","affiliations":[{"raw_affiliation_string":"Tata Consultancy Services Ltd, India","institution_ids":["https://openalex.org/I55215948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045214135","display_name":"Harshad Khadilkar","orcid":"https://orcid.org/0000-0003-3601-778X"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Harshad Khadilkar","raw_affiliation_strings":["TCS Research, India and IIT Bombay, India"],"raw_orcid":"https://orcid.org/0000-0003-3601-778X","affiliations":[{"raw_affiliation_string":"TCS Research, India and IIT Bombay, India","institution_ids":["https://openalex.org/I162827531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.1409,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.8660986,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"176","last_page":"184"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10328","display_name":"Supply Chain and Inventory Management","score":0.9987999796867371,"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"}},"topics":[{"id":"https://openalex.org/T10328","display_name":"Supply Chain and Inventory Management","score":0.9987999796867371,"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/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9902999997138977,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/computer-science","display_name":"Computer science","score":0.6635825037956238},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.6264132261276245},{"id":"https://openalex.org/keywords/supply-chain","display_name":"Supply chain","score":0.6174436807632446},{"id":"https://openalex.org/keywords/delivery-performance","display_name":"Delivery Performance","score":0.6122625470161438},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.5780720710754395},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5485986471176147},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.5462980270385742},{"id":"https://openalex.org/keywords/order-fulfillment","display_name":"Order fulfillment","score":0.4676347076892853},{"id":"https://openalex.org/keywords/integer-programming","display_name":"Integer programming","score":0.41659197211265564},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.39659205079078674},{"id":"https://openalex.org/keywords/process-management","display_name":"Process management","score":0.25236842036247253},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.24906232953071594},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.1892584264278412},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1476495862007141},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10503098368644714}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6635825037956238},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.6264132261276245},{"id":"https://openalex.org/C108713360","wikidata":"https://www.wikidata.org/wiki/Q1824206","display_name":"Supply chain","level":2,"score":0.6174436807632446},{"id":"https://openalex.org/C2777386808","wikidata":"https://www.wikidata.org/wiki/Q5254078","display_name":"Delivery Performance","level":2,"score":0.6122625470161438},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.5780720710754395},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5485986471176147},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.5462980270385742},{"id":"https://openalex.org/C2778963849","wikidata":"https://www.wikidata.org/wiki/Q1473552","display_name":"Order fulfillment","level":3,"score":0.4676347076892853},{"id":"https://openalex.org/C56086750","wikidata":"https://www.wikidata.org/wiki/Q6042592","display_name":"Integer programming","level":2,"score":0.41659197211265564},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.39659205079078674},{"id":"https://openalex.org/C195094911","wikidata":"https://www.wikidata.org/wiki/Q14167904","display_name":"Process management","level":1,"score":0.25236842036247253},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.24906232953071594},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.1892584264278412},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1476495862007141},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10503098368644714},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3570991.3571016","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3570991.3571016","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1964852969","https://openalex.org/W2020931139","https://openalex.org/W2026589647","https://openalex.org/W2030599228","https://openalex.org/W2037938479","https://openalex.org/W2045784168","https://openalex.org/W2047464632","https://openalex.org/W2053859224","https://openalex.org/W2075476747","https://openalex.org/W2088154783","https://openalex.org/W2763245976","https://openalex.org/W2808146197","https://openalex.org/W2896983297","https://openalex.org/W3003931103","https://openalex.org/W3082377584","https://openalex.org/W3111937247","https://openalex.org/W3116783161","https://openalex.org/W3120439351","https://openalex.org/W3143460927","https://openalex.org/W3170395634"],"related_works":["https://openalex.org/W2389157632","https://openalex.org/W3088396224","https://openalex.org/W4366262755","https://openalex.org/W2893233964","https://openalex.org/W4313491989","https://openalex.org/W4214674446","https://openalex.org/W2262156349","https://openalex.org/W2131268124","https://openalex.org/W1969536542","https://openalex.org/W2270917260"],"abstract_inverted_index":{"In":[0,65],"the":[1,11,25,39,46,51,57,80,94,109,112,115,138,148,154],"retail":[2,32],"industry,":[3],"electronic":[4],"commerce":[5],"(e-commerce)":[6],"has":[7,15],"grown":[8],"quickly":[9],"in":[10,50,87,153],"last":[12],"decade":[13],"and":[14,31],"further":[16],"accelerated":[17],"as":[18,72,129],"a":[19,62,73,100,144],"result":[20],"of":[21,41,43,83,111,114,151],"movement":[22],"restrictions":[23],"during":[24],"pandemic.":[26],"While":[27],"working":[28],"with":[29],"logistics":[30],"industry":[33],"business":[34],"collaborators,":[35],"we":[36,68],"found":[37],"that":[38,99,135],"cost":[40],"delivery":[42],"products":[44,86],"from":[45,90],"most":[47],"opportune":[48],"node":[49],"supply":[52],"chain":[53],"(a":[54],"quantity":[55],"called":[56],"cost-to-serve":[58],"or":[59],"CTS)":[60],"is":[61,105],"key":[63],"challenge.":[64],"this":[66],"paper,":[67],"formally":[69],"define":[70],"CTS":[71],"decision-making":[74],"problem.":[75],"We":[76,97,133],"then":[77],"focus":[78],"on":[79,147],"specific":[81],"subproblem":[82],"delivering":[84],"multiple":[85],"arbitrary":[88],"quantities":[89],"any":[91],"warehouse":[92],"to":[93,107],"customer":[95],"doorstep.":[96],"find":[98],"reinforcement":[101],"learning":[102],"(RL)":[103],"formulation":[104],"able":[106],"exceed":[108],"performance":[110],"state":[113],"art":[116],"rule":[117],"based":[118,140],"policies,":[119],"while":[120],"being":[121],"significantly":[122],"faster":[123],"than":[124],"traditional":[125],"optimisation":[126],"approaches":[127],"such":[128],"mixed-integer":[130],"linear":[131],"programming.":[132],"hypothesise":[134],"scaling":[136],"up":[137],"RL":[139],"methodology":[141],"will":[142],"have":[143],"significant":[145],"impact":[146],"operating":[149],"margins":[150],"retailers":[152],"\u2018new":[155],"normal\u2019.":[156]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}