Online pricing with bundling and coupon discounts

We propose an online pricing strategy by utilising product bundling and coupon discounts. Given customer's purchase behaviour and preference for bundling and coupon, we propose a nonlinear mixed-integer programming model to determine the most appropriate bundle discount and instant coupon so as...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:International journal of production research Ročník 56; číslo 5; s. 1773 - 1788
Hlavní autoři: Jiang, Yuanchun, Liu, Yezheng, Wang, Hai, Shang, Jennifer, Ding, Shuai
Médium: Journal Article
Jazyk:angličtina
Vydáno: London Taylor & Francis LLC 04.03.2018
Témata:
Bundling
Discount coupons
Discounts
Heuristic methods
Integer programming
Parameter uncertainty
Pricing
ISSN:0020-7543, 1366-588X
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:We propose an online pricing strategy by utilising product bundling and coupon discounts. Given customer's purchase behaviour and preference for bundling and coupon, we propose a nonlinear mixed-integer programming model to determine the most appropriate bundle discount and instant coupon so as to maximise e-tailer's profit. A fast heuristic algorithm is designed to implement the proposed model online in real time. We investigate the robustness of the proposed method by examining how uncertainties in system parameters affect performance. Through collaborative optimisation, we offer important insights and managerial implications, and show how marketers can attract more purchase and maximise profit by properly integrating marketing tools such as bundling and coupon.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0020-7543
1366-588X
DOI:10.1080/00207543.2015.1112443