Adaptive Strategies for Dynamic Pricing Agents

Dynamic Pricing (DyP) is a form of Revenue Management in which the price of a (usually) perishable good is changed over time to increase revenue. It is an effective method that has become even more relevant and useful with the emergence of Internet firms and the possibility of readily and frequently...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology Ročník 2; s. 323 - 328
Hlavní autoři: Ramezani, S., Bosman, P. A. N., La Poutre, H.
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.08.2011
Témata:
ISBN:9781457713736, 145771373X
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Abstract Dynamic Pricing (DyP) is a form of Revenue Management in which the price of a (usually) perishable good is changed over time to increase revenue. It is an effective method that has become even more relevant and useful with the emergence of Internet firms and the possibility of readily and frequently updating prices. In this paper a new approach to DyP is presented. We design an adaptive dynamic pricing strategy and optimize its parameters with an Evolutionary Algorithm (EA) offline, while the strategy can deal with stochastic market dynamics quickly online. We design the adaptive heuristic dynamic pricing strategy in a duopoly where each firm has a finite inventory of a single type of good. We consider two cases, one in which the average of a customer population's stochastic valuation for each of the goods is constant throughout the selling horizon and one in which the average customer valuation for each good is changed according to a random Brownian motion. We also design an agent-based software framework for simulating various dynamic pricing strategies in agent-based marketplaces with multiple firms in a bounded time horizon. We use an EA to optimize the parameters of the pricing strategy in each of the settings and compare our strategy with other strategies from the literature. We also perform sensitivity analysis and show that the optimized strategy works well even when used in settings with varied demand functions.
AbstractList Dynamic Pricing (DyP) is a form of Revenue Management in which the price of a (usually) perishable good is changed over time to increase revenue. It is an effective method that has become even more relevant and useful with the emergence of Internet firms and the possibility of readily and frequently updating prices. In this paper a new approach to DyP is presented. We design an adaptive dynamic pricing strategy and optimize its parameters with an Evolutionary Algorithm (EA) offline, while the strategy can deal with stochastic market dynamics quickly online. We design the adaptive heuristic dynamic pricing strategy in a duopoly where each firm has a finite inventory of a single type of good. We consider two cases, one in which the average of a customer population's stochastic valuation for each of the goods is constant throughout the selling horizon and one in which the average customer valuation for each good is changed according to a random Brownian motion. We also design an agent-based software framework for simulating various dynamic pricing strategies in agent-based marketplaces with multiple firms in a bounded time horizon. We use an EA to optimize the parameters of the pricing strategy in each of the settings and compare our strategy with other strategies from the literature. We also perform sensitivity analysis and show that the optimized strategy works well even when used in settings with varied demand functions.
Author Ramezani, S.
Bosman, P. A. N.
La Poutre, H.
Author_xml – sequence: 1
  givenname: S.
  surname: Ramezani
  fullname: Ramezani, S.
  email: S.Ramezani@cwi.nl
  organization: CWI, Dutch Nat. Inst. for Math. & Comput. Sci., Amsterdam, Netherlands
– sequence: 2
  givenname: P. A. N.
  surname: Bosman
  fullname: Bosman, P. A. N.
  email: Peter.Bosman@cwi.nl
  organization: CWI, Dutch Nat. Inst. for Math. & Comput. Sci., Amsterdam, Netherlands
– sequence: 3
  givenname: H.
  surname: La Poutre
  fullname: La Poutre, H.
  email: Han.La.Poutre@cwi.nl
  organization: CWI, Dutch Nat. Inst. for Math. & Comput. Sci., Amsterdam, Netherlands
BookMark eNotjk9LwzAYhyMqqLNnD176BVrzJmnSHMv8VxgoOPE4kuZNydiykQZh396iPpcfz-XHc0Mu4iEiIXdAawCqH776qu_WNaMANWh-RgqtWqqkbkQDXJz_OohGKeCKyytSTNOWzkiptYZrUnfOHHP4xvIjJ5NxDDiV_pDKx1M0-zCU7ykMIY5lN2LM0y259GY3YfG_C_L5_LRevlart5d-2a0qA5LlShplrAOLdjBIOWjXMDl3YauoA2wbO2c5bZVUA3ruGLXeWGG5Z55LGPiC3P_9BkTcHFPYm3TaSCqo0i3_AQB5Rmk
ContentType Conference Proceeding
DBID 6IE
6IL
CBEJK
RIE
RIL
DOI 10.1109/WI-IAT.2011.193
DatabaseName IEEE Electronic Library (IEL) Conference Proceedings
IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume
IEEE Xplore All Conference Proceedings
IEEE Electronic Library (IEL)
IEEE Proceedings Order Plans (POP All) 1998-Present
DatabaseTitleList
Database_xml – sequence: 1
  dbid: RIE
  name: IEEE Electronic Library (IEL)
  url: https://ieeexplore.ieee.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
Discipline Computer Science
EISBN 9780769545134
0769545130
EndPage 328
ExternalDocumentID 6040798
Genre orig-research
GroupedDBID 6IE
6IL
ACM
ALMA_UNASSIGNED_HOLDINGS
APO
CBEJK
GUFHI
LHSKQ
RIB
RIC
RIE
RIL
ID FETCH-LOGICAL-a162t-6a7abd1bebcae0319d526807e870d1e85b978d9b767cef3d20bfab4b3f2f361c3
IEDL.DBID RIE
ISBN 9781457713736
145771373X
IngestDate Wed Aug 27 02:48:18 EDT 2025
IsPeerReviewed false
IsScholarly false
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-a162t-6a7abd1bebcae0319d526807e870d1e85b978d9b767cef3d20bfab4b3f2f361c3
PageCount 6
ParticipantIDs ieee_primary_6040798
PublicationCentury 2000
PublicationDate 2011-Aug.
PublicationDateYYYYMMDD 2011-08-01
PublicationDate_xml – month: 08
  year: 2011
  text: 2011-Aug.
PublicationDecade 2010
PublicationTitle 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology
PublicationTitleAbbrev wi-iat
PublicationYear 2011
Publisher IEEE
Publisher_xml – name: IEEE
SSID ssj0000669991
ssj0001120470
Score 1.5205783
Snippet Dynamic Pricing (DyP) is a form of Revenue Management in which the price of a (usually) perishable good is changed over time to increase revenue. It is an...
SourceID ieee
SourceType Publisher
StartPage 323
SubjectTerms Adaptation models
Cost accounting
dynamic pricing
evolutionary algorithms
Gaussian distribution
Heuristic algorithms
Marketing and sales
multi-agent systems
Optimization
Pricing
pricing agents
pricing strategies
revenue management
Title Adaptive Strategies for Dynamic Pricing Agents
URI https://ieeexplore.ieee.org/document/6040798
Volume 2
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV27bsIwFL0C1KETbaHqWx461hAnxnZG1BaVBTFQlQ3F9rXUBRCv76_tJNChSzfHgxXHj3Nz7XMOwLPHfFcUilOXMkM5447mfqypU1ohy4yHTBvNJuRkoubzfNqAlyMXBhHj5TPshWI8y7crsw-psr7wM07mqglNKUXJ1TrmUzx0hljnlF9hacJlErlcA-l_xWQ2ryWeqmdRSf2wJO9_jel4OCslPeMp9C-vlQg1o_b_XvICuifOHpke0egSGri8gnZt2kCqNdyB3tAW67DHkVqYFrfER67krfSmJ8EI3rdAhoF0te3C5-h99vpBK9MEWjCR7qgoZKEt0-GSEwaKkg2CLolEvzAtQzXQ_hPYXEshDbrMpol2heY6c6nLBDPZNbSWqyXeAGEomMs4hpCISz1QiVCp5rlFH8UYY2-hE7q_WJe6GIuq53d_V9_DeZ2PTdgDtHabPT7CmTnsvrebpziYP4YjmbQ
linkProvider IEEE
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1JTwIxGP2CaKInVDDu9uDRQjvTaTtHohKISDhg5EamW-IFCIu_33YW8ODFW6eHZjpd3jdf-94DePSY77JMMuwiqjGjzOHUjzV2UklLY-0h0-RmE2I0ktNpOq7B044LY63NL5_ZdijmZ_lmobchVdbhfsaJVB7AYcJYRAq21i6j4sEzRDv7DAuNCBMkZ3Mlwv-MiXhaiTyVz7wU-6Ek7XwO8KA7KUQ983PoX24rOdj0Gv97zVNo7Vl7aLzDozOo2fk5NCrbBlSu4ia0uyZbhl0OVdK0do187IpeCnd6FKzgfQuoG2hX6xZ89F4nz31c2ibgjPJog3kmMmWoCtecbCApmSDpQoT1S9NQKxPlP4FJleBCWxebiCiXKaZiF7mYUx1fQH2-mNtLQNRy6mJmQ1DEhEok4TJSLDXWxzFamytohu7PloUyxqzs-fXf1Q9w3J-8D2fDwejtBk6q7Cyht1DfrLb2Do709-ZrvbrPB_YHvHCc-w
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.title=2011+IEEE%2FWIC%2FACM+International+Conferences+on+Web+Intelligence+and+Intelligent+Agent+Technology&rft.atitle=Adaptive+Strategies+for+Dynamic+Pricing+Agents&rft.au=Ramezani%2C+S.&rft.au=Bosman%2C+P.+A.+N.&rft.au=La+Poutre%2C+H.&rft.date=2011-08-01&rft.pub=IEEE&rft.isbn=9781457713736&rft.volume=2&rft.spage=323&rft.epage=328&rft_id=info:doi/10.1109%2FWI-IAT.2011.193&rft.externalDocID=6040798
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=9781457713736/lc.gif&client=summon&freeimage=true
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=9781457713736/mc.gif&client=summon&freeimage=true
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=9781457713736/sc.gif&client=summon&freeimage=true