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Real-Time Optimization of Personalized Assortments

Citations

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Cited by:

  1. Sumit Kunnumkal & Kalyan Talluri, 2019. "Choice Network Revenue Management Based on New Tractable Approximations," Transportation Science, INFORMS, vol. 53(6), pages 1591-1608, November.
  2. Ilan Lobel, 2021. "Revenue Management and the Rise of the Algorithmic Economy," Management Science, INFORMS, vol. 67(9), pages 5389-5398, September.
  3. Jost Daft & Sascha Albers & Sebastian Stabenow, 2021. "From product-oriented flight providers to customer-centric retailers: a dynamic offering framework and implementation guidelines for airlines," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 20(6), pages 615-625, December.
  4. Xi Chen & Zachary Owen & Clark Pixton & David Simchi-Levi, 2022. "A Statistical Learning Approach to Personalization in Revenue Management," Management Science, INFORMS, vol. 68(3), pages 1923-1937, March.
  5. Xi Chen & Yining Wang & Yuan Zhou, 2018. "Dynamic Assortment Optimization with Changing Contextual Information," Papers 1810.13069, arXiv.org, revised Jan 2019.
  6. Will Ma & David Simchi-Levi, 2020. "Algorithms for Online Matching, Assortment, and Pricing with Tight Weight-Dependent Competitive Ratios," Operations Research, INFORMS, vol. 68(6), pages 1787-1803, November.
  7. Ali Aouad & Daniela Saban, 2023. "Online Assortment Optimization for Two-Sided Matching Platforms," Management Science, INFORMS, vol. 69(4), pages 2069-2087, April.
  8. Adam N. Elmachtoub & Retsef Levi, 2016. "Supply Chain Management with Online Customer Selection," Operations Research, INFORMS, vol. 64(2), pages 458-473, April.
  9. Hense, Jonas & Hübner, Alexander, 2022. "Assortment optimization in omni-channel retailing," European Journal of Operational Research, Elsevier, vol. 301(1), pages 124-140.
  10. Teck-Hua Ho & Noah Lim & Sadat Reza & Xiaoyu Xia, 2017. "OM Forum—Causal Inference Models in Operations Management," Manufacturing & Service Operations Management, INFORMS, vol. 19(4), pages 509-525, October.
  11. Goic, Marcel & Rojas, Andrea & Saavedra, Ignacio, 2021. "The Effectiveness of Triggered Email Marketing in Addressing Browse Abandonments," Journal of Interactive Marketing, Elsevier, vol. 55(C), pages 118-145.
  12. Antoine Désir & Vineet Goyal & Danny Segev & Chun Ye, 2020. "Constrained Assortment Optimization Under the Markov Chain–based Choice Model," Management Science, INFORMS, vol. 66(2), pages 698-721, February.
  13. Christine S. M. Currie & Trivikram Dokka & John Harvey & Arne K. Strauss, 2018. "Future research directions in demand management," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 17(6), pages 459-462, December.
  14. David Simchi-Levi & Rui Sun & Huanan Zhang, 2022. "Online Learning and Optimization for Revenue Management Problems with Add-on Discounts," Management Science, INFORMS, vol. 68(10), pages 7402-7421, October.
  15. Zikun Ye & Dennis J. Zhang & Heng Zhang & Renyu Zhang & Xin Chen & Zhiwei Xu, 2023. "Cold Start to Improve Market Thickness on Online Advertising Platforms: Data-Driven Algorithms and Field Experiments," Management Science, INFORMS, vol. 69(7), pages 3838-3860, July.
  16. Fernando Bernstein & A. Gürhan Kök & Lei Xie, 2015. "Dynamic Assortment Customization with Limited Inventories," Manufacturing & Service Operations Management, INFORMS, vol. 17(4), pages 538-553, October.
  17. Hekimoğlu, Mustafa & Sevim, Ismail & Aksezer, Çağlar & Durmuş, İpek, 2019. "Assortment optimization with log-linear demand: Application at a Turkish grocery store," Journal of Retailing and Consumer Services, Elsevier, vol. 50(C), pages 199-214.
  18. Wang Chi Cheung & Will Ma & David Simchi-Levi & Xinshang Wang, 2022. "Inventory Balancing with Online Learning," Management Science, INFORMS, vol. 68(3), pages 1776-1807, March.
  19. Gérard P. Cachon & Karan Girotra & Serguei Netessine, 2020. "Interesting, Important, and Impactful Operations Management," Manufacturing & Service Operations Management, INFORMS, vol. 22(1), pages 214-222, January.
  20. Leon Yang Chu & Hamid Nazerzadeh & Heng Zhang, 2020. "Position Ranking and Auctions for Online Marketplaces," Management Science, INFORMS, vol. 66(8), pages 3617-3634, August.
  21. Gökgür, Burak & Karabatı, Selçuk, 2019. "Dynamic and targeted bundle pricing of two independently valued products," European Journal of Operational Research, Elsevier, vol. 279(1), pages 184-198.
  22. Yanzhe (Murray) Lei & Stefanus Jasin, 2020. "Real-Time Dynamic Pricing for Revenue Management with Reusable Resources, Advance Reservation, and Deterministic Service Time Requirements," Operations Research, INFORMS, vol. 68(3), pages 676-685, May.
  23. Ali Aouad & Jacob Feldman & Danny Segev, 2023. "The Exponomial Choice Model for Assortment Optimization: An Alternative to the MNL Model?," Management Science, INFORMS, vol. 69(5), pages 2814-2832, May.
  24. Xiao-Yue Gong & Vineet Goyal & Garud N. Iyengar & David Simchi-Levi & Rajan Udwani & Shuangyu Wang, 2022. "Online Assortment Optimization with Reusable Resources," Management Science, INFORMS, vol. 68(7), pages 4772-4785, July.
  25. Michael D. Wittman & Peter P. Belobaba, 2017. "Personalization in airline revenue management – Heuristics for real-time adjustment of availability and fares," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 16(4), pages 376-396, August.
  26. Muzaffer Buyruk & Ertan Güner, 2022. "Personalization in airline revenue management: an overview and future outlook," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 21(2), pages 129-139, April.
  27. Qi (George) Chen & Stefanus Jasin & Izak Duenyas, 2016. "Real-Time Dynamic Pricing with Minimal and Flexible Price Adjustment," Management Science, INFORMS, vol. 62(8), pages 2437-2455, August.
  28. Lessmann, Stefan & Coussement, Kristof & De Bock, Koen W. & Haupt, Johannes, 2018. "Targeting customers for profit: An ensemble learning framework to support marketing decision making," IRTG 1792 Discussion Papers 2018-012, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
  29. Negin Gorlezaei & Patrick Jaillet & Zijie Zhou, 2022. "Online Resource Allocation with Samples," Papers 2210.04774, arXiv.org.
  30. Xi Chen & Chao Shi & Yining Wang & Yuan Zhou, 2021. "Dynamic Assortment Planning Under Nested Logit Models," Production and Operations Management, Production and Operations Management Society, vol. 30(1), pages 85-102, January.
  31. Andre P. Calmon & Florin D. Ciocan & Gonzalo Romero, 2021. "Revenue Management with Repeated Customer Interactions," Management Science, INFORMS, vol. 67(5), pages 2944-2963, May.
  32. Çömez-Dolgan, Nagihan & Fescioglu-Unver, Nilgun & Cephe, Ecem & Şen, Alper, 2021. "Capacitated strategic assortment planning under explicit demand substitution," European Journal of Operational Research, Elsevier, vol. 294(3), pages 1120-1138.
  33. Stefanus Jasin, 2014. "Reoptimization and Self-Adjusting Price Control for Network Revenue Management," Operations Research, INFORMS, vol. 62(5), pages 1168-1178, October.
  34. Vahideh Manshadi & Scott Rodilitz, 2022. "Online Policies for Efficient Volunteer Crowdsourcing," Management Science, INFORMS, vol. 68(9), pages 6572-6590, September.
  35. Yi-Chun Chen & Velibor V. Mišić, 2022. "Decision Forest: A Nonparametric Approach to Modeling Irrational Choice," Management Science, INFORMS, vol. 68(10), pages 7090-7111, October.
  36. Nan Liu & Peter M. van de Ven & Bo Zhang, 2019. "Managing Appointment Booking Under Customer Choices," Management Science, INFORMS, vol. 65(9), pages 4280-4298, September.
  37. Guillermo Gallego & Gerardo Berbeglia, 2021. "The Limits of Personalization in Assortment Optimization," Papers 2109.14861, arXiv.org, revised Jun 2024.
  38. Darina Graczová & Peter Jacko, 2014. "Generalized Restless Bandits and the Knapsack Problem for Perishable Inventories," Operations Research, INFORMS, vol. 62(3), pages 696-711, June.
  39. Velibor V. Mišić & Georgia Perakis, 2020. "Data Analytics in Operations Management: A Review," Manufacturing & Service Operations Management, INFORMS, vol. 22(1), pages 158-169, January.
  40. Kameng Nip & Zhenbo Wang & Zizhuo Wang, 2021. "Assortment Optimization under a Single Transition Choice Model," Production and Operations Management, Production and Operations Management Society, vol. 30(7), pages 2122-2142, July.
  41. Weidig, Jakob & Weippert, Marco & Kuehnl, Christina, 2024. "Personalized touchpoints and customer experience: A conceptual synthesis," Journal of Business Research, Elsevier, vol. 177(C).
  42. Markus Ettl & Pavithra Harsha & Anna Papush & Georgia Perakis, 2020. "A Data-Driven Approach to Personalized Bundle Pricing and Recommendation," Manufacturing & Service Operations Management, INFORMS, vol. 22(3), pages 461-480, May.
  43. Wenjia Ba & Haim Mendelson & Mingxi Zhu, 2020. "Sales Policies for a Virtual Assistant," Papers 2009.03719, arXiv.org.
  44. Will Ma & David Simchi-Levi & Chung-Piaw Teo, 2021. "On Policies for Single-Leg Revenue Management with Limited Demand Information," Operations Research, INFORMS, vol. 69(1), pages 207-226, January.
  45. Zhe (James) Zhang & Shivendu Shivendu & Peng Wang, 2021. "Is Investment in Data Analytics Always Profitable? The Case of Third‐Party‐Online‐Promotion Marketplace," Production and Operations Management, Production and Operations Management Society, vol. 30(7), pages 2321-2337, July.
  46. Velibor V. Miv{s}i'c & Georgia Perakis, 2019. "Data Analytics in Operations Management: A Review," Papers 1905.00556, arXiv.org.
  47. Klein, Robert & Koch, Sebastian & Steinhardt, Claudius & Strauss, Arne K., 2020. "A review of revenue management: Recent generalizations and advances in industry applications," European Journal of Operational Research, Elsevier, vol. 284(2), pages 397-412.
  48. Fernando Bernstein & Sajad Modaresi & Denis Sauré, 2019. "A Dynamic Clustering Approach to Data-Driven Assortment Personalization," Management Science, INFORMS, vol. 67(5), pages 2095-2115, May.
  49. Nathan Kallus & Madeleine Udell, 2020. "Dynamic Assortment Personalization in High Dimensions," Operations Research, INFORMS, vol. 68(4), pages 1020-1037, July.
  50. Yuhang Ma & Paat Rusmevichientong & Mika Sumida & Huseyin Topaloglu, 2020. "An Approximation Algorithm for Network Revenue Management Under Nonstationary Arrivals," Operations Research, INFORMS, vol. 68(3), pages 834-855, May.
  51. Kris Johnson Ferreira & Joel Goh, 2021. "Assortment Rotation and the Value of Concealment," Management Science, INFORMS, vol. 67(3), pages 1489-1507, March.
  52. Paat Rusmevichientong & Mika Sumida & Huseyin Topaloglu, 2020. "Dynamic Assortment Optimization for Reusable Products with Random Usage Durations," Management Science, INFORMS, vol. 66(7), pages 2820-2844, July.
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