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Analytics for an Online Retailer: Demand Forecasting and Price Optimization

Citations

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Cited by:

  1. Martin, Simon & Rasch, Alexander, 2024. "Demand forecasting, signal precision, and collusion with hidden actions," International Journal of Industrial Organization, Elsevier, vol. 92(C).
  2. Jung, Seung Hwan & Yang, Yunsi, 2023. "On the value of operational flexibility in the trailer shipment and assignment problem: Data-driven approaches and reinforcement learning," International Journal of Production Economics, Elsevier, vol. 264(C).
  3. Torsten J. Gerpott & Jan Berends, 2022. "Competitive pricing on online markets: a literature review," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 21(6), pages 596-622, December.
  4. Santiago Gallino & Antonio Moreno, 2018. "The Value of Fit Information in Online Retail: Evidence from a Randomized Field Experiment," Manufacturing & Service Operations Management, INFORMS, vol. 20(4), pages 767-787, October.
  5. Marshall Fisher & Santiago Gallino & Jun Li, 2018. "Competition-Based Dynamic Pricing in Online Retailing: A Methodology Validated with Field Experiments," Management Science, INFORMS, vol. 64(6), pages 2496-2514, June.
  6. Hanyao Gao & Gang Kou & Haiming Liang & Hengjie Zhang & Xiangrui Chao & Cong-Cong Li & Yucheng Dong, 2024. "Machine learning in business and finance: a literature review and research opportunities," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-35, December.
  7. Tsao, Yu-Chung & Chen, Yu-Kai & Chiu, Shih-Hao & Lu, Jye-Chyi & Vu, Thuy-Linh, 2022. "An innovative demand forecasting approach for the server industry," Technovation, Elsevier, vol. 110(C).
  8. Truong Ngoc Cuong & Le Ngoc Bao Long & Hwan-Seong Kim & Sam-Sang You, 2023. "Data analytics and throughput forecasting in port management systems against disruptions: a case study of Busan Port," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 25(1), pages 61-89, March.
  9. Simon Martin & Alexander Rasch, 2022. "Collusion by Algorithm: The Role of Unobserved Actions," CESifo Working Paper Series 9629, CESifo.
  10. Chenbo Shi & Mohsen Emadikhiav & Leonardo Lozano & David Bergman, 2024. "Constraint Learning to Define Trust Regions in Optimization over Pre-Trained Predictive Models," INFORMS Journal on Computing, INFORMS, vol. 36(6), pages 1382-1399, December.
  11. Ulrich, Matthias & Jahnke, Hermann & Langrock, Roland & Pesch, Robert & Senge, Robin, 2022. "Classification-based model selection in retail demand forecasting," International Journal of Forecasting, Elsevier, vol. 38(1), pages 209-223.
  12. Satya S. Malladi & Alan L. Erera & Chelsea C. White, 2023. "Inventory control with modulated demand and a partially observed modulation process," Annals of Operations Research, Springer, vol. 321(1), pages 343-369, February.
  13. Khosrowabadi, Naghmeh & Hoberg, Kai & Imdahl, Christina, 2022. "Evaluating human behaviour in response to AI recommendations for judgemental forecasting," European Journal of Operational Research, Elsevier, vol. 303(3), pages 1151-1167.
  14. Badorf, Florian & Hoberg, Kai, 2020. "The impact of daily weather on retail sales: An empirical study in brick-and-mortar stores," Journal of Retailing and Consumer Services, Elsevier, vol. 52(C).
  15. Ruxian Wang, 2018. "When Prospect Theory Meets Consumer Choice Models: Assortment and Pricing Management with Reference Prices," Manufacturing & Service Operations Management, INFORMS, vol. 20(3), pages 583-600, July.
  16. Yong-Wu Zhou & Chuanying Chen & Yuanguang Zhong & Bin Cao, 2020. "The allocation optimization of promotion budget and traffic volume for an online flash-sales platform," Annals of Operations Research, Springer, vol. 291(1), pages 1183-1207, August.
  17. Dazhou Lei & Hao Hu & Dongyang Geng & Jianshen Zhang & Yongzhi Qi & Sheng Liu & Zuo‐Jun Max Shen, 2023. "New product life cycle curve modeling and forecasting with product attributes and promotion: A Bayesian functional approach," Production and Operations Management, Production and Operations Management Society, vol. 32(2), pages 655-673, February.
  18. Hanzhang Qin & David Simchi‐Levi & Ryan Ferer & Jonathan Mays & Ken Merriam & Megan Forrester & Alex Hamrick, 2022. "Trading safety stock for service response time in inventory positioning," Production and Operations Management, Production and Operations Management Society, vol. 31(12), pages 4462-4474, December.
  19. Jing-Sheng Song & Geert-Jan van Houtum & Jan A. Van Mieghem, 2020. "Capacity and Inventory Management: Review, Trends, and Projections," Manufacturing & Service Operations Management, INFORMS, vol. 22(1), pages 36-46, January.
  20. Wang, Shuaian & Yan, Ran, 2023. "Fundamental challenge and solution methods in prescriptive analytics for freight transportation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 169(C).
  21. Robert P. Rooderkerk & Nicole DeHoratius & Andrés Musalem, 2022. "The past, present, and future of retail analytics: Insights from a survey of academic research and interviews with practitioners," Production and Operations Management, Production and Operations Management Society, vol. 31(10), pages 3727-3748, October.
  22. Shivam Gupta & Sachin Modgil & Samadrita Bhattacharyya & Indranil Bose, 2022. "Artificial intelligence for decision support systems in the field of operations research: review and future scope of research," Annals of Operations Research, Springer, vol. 308(1), pages 215-274, January.
  23. Li, Yanran & Li, Bo & Zheng, Wei & Chen, Xue, 2021. "Reveal or hide? Impact of demonstration on pricing decisions considering showrooming behavior," Omega, Elsevier, vol. 102(C).
  24. Jérémie Gallien & Alan Scheller-Wolf, 2016. "Introduction to the Special Issue on Practice-Focused Research," Manufacturing & Service Operations Management, INFORMS, vol. 18(1), pages 1-4, February.
  25. Pédussel Wu, Jennifer & Metzger, Martina & Neira, Ignacio Silva & Farroukh, Arafet, 2023. "What determines demand for digital community currencies? OurVillage in Cameroon," IPE Working Papers 209/2023, Berlin School of Economics and Law, Institute for International Political Economy (IPE).
  26. Sadana, Utsav & Chenreddy, Abhilash & Delage, Erick & Forel, Alexandre & Frejinger, Emma & Vidal, Thibaut, 2025. "A survey of contextual optimization methods for decision-making under uncertainty," European Journal of Operational Research, Elsevier, vol. 320(2), pages 271-289.
  27. Ikeda, Shunnosuke & Nishimura, Naoki & Sukegawa, Noriyoshi & Takano, Yuichi, 2023. "Prescriptive price optimization using optimal regression trees," Operations Research Perspectives, Elsevier, vol. 11(C).
  28. Abhinav Garg & Naman Shukla & Lavanya Marla & Sriram Somanchi, 2021. "Distribution Shift in Airline Customer Behavior during COVID-19," Papers 2111.14938, arXiv.org, revised Dec 2021.
  29. Julian Senoner & Bernhard Kratzwald & Milan Kuzmanovic & Torbjørn H. Netland & Stefan Feuerriegel, 2023. "Addressing distributional shifts in operations management: The case of order fulfillment in customized production," Production and Operations Management, Production and Operations Management Society, vol. 32(10), pages 3022-3042, October.
  30. Dai, Hongyan & Xiao, Qin & Chen, Songlin & Zhou, Weihua, 2023. "Data-driven demand forecast for O2O operations: An adaptive hierarchical incremental approach," International Journal of Production Economics, Elsevier, vol. 259(C).
  31. Liu, Hsiu-Wen, 2024. "Mining spatial-temporal patterns from customer data to improve forecasting of customer flow across multiple sites," Journal of Retailing and Consumer Services, Elsevier, vol. 79(C).
  32. Felix Wick & Ulrich Kerzel & Martin Hahn & Moritz Wolf & Trapti Singhal & Daniel Stemmer & Jakob Ernst & Michael Feindt, 2021. "Demand Forecasting of Individual Probability Density Functions with Machine Learning," SN Operations Research Forum, Springer, vol. 2(3), pages 1-39, September.
  33. Samira FRIOUI & Amel GRAA, 2024. "Bibliometric Analysis of Artificial Intelligence in the Scope of E-Commerce: Trends and Progress over the Last Decade," Management and Economics Review, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 9(1), pages 5-24, February.
  34. Wen Chen & Changyi Zhu & Qi Cheung & Siying Wu & Jun Zhang & Jia Cao, 2024. "How does digitization enable green innovation? Evidence from Chinese listed companies," Business Strategy and the Environment, Wiley Blackwell, vol. 33(5), pages 3832-3854, July.
  35. Qi Feng & J. George Shanthikumar, 2022. "Developing operations management data analytics," Production and Operations Management, Production and Operations Management Society, vol. 31(12), pages 4544-4557, December.
  36. Yixian Chen & Prakhar Mehrotra & Nitin Kishore Sai Samala & Kamilia Ahmadi & Viresh Jivane & Linsey Pang & Monika Shrivastav & Nate Lyman & Scott Pleiman, 2021. "A Multiobjective Optimization for Clearance in Walmart Brick-and-Mortar Stores," Interfaces, INFORMS, vol. 51(1), pages 76-89, February.
  37. Saravanan Kesavan & Tarun Kushwaha, 2020. "Field Experiment on the Profit Implications of Merchants’ Discretionary Power to Override Data-Driven Decision-Making Tools," Management Science, INFORMS, vol. 66(11), pages 5182-5190, November.
  38. Fildes, Robert & Ma, Shaohui & Kolassa, Stephan, 2019. "Retail forecasting: research and practice," MPRA Paper 89356, University Library of Munich, Germany.
  39. Georgia Perakis & Melvyn Sim & Qinshen Tang & Peng Xiong, 2023. "Robust Pricing and Production with Information Partitioning and Adaptation," Management Science, INFORMS, vol. 69(3), pages 1398-1419, March.
  40. Ulrich, Matthias & Jahnke, Hermann & Langrock, Roland & Pesch, Robert & Senge, Robin, 2021. "Distributional regression for demand forecasting in e-grocery," European Journal of Operational Research, Elsevier, vol. 294(3), pages 831-842.
  41. Haiqing Hu & Pandu R. Tadikamalla, 2020. "When to launch a sales promotion for online fashion products? An empirical study," Electronic Commerce Research, Springer, vol. 20(4), pages 737-756, December.
  42. Sun, Zhengwei & Hupman, Andrea C. & Abbas, Ali E., 2021. "The value of information for price dependent demand," European Journal of Operational Research, Elsevier, vol. 288(2), pages 511-522.
  43. Malo Huard & Rémy Garnier & Gilles Stoltz, 2020. "Hierarchical robust aggregation of sales forecasts at aggregated levels in e-commerce, based on exponential smoothing and Holt's linear trend method," Working Papers hal-02794320, HAL.
  44. Liu, Jiapeng & Wang, Yan & Kadziński, Miłosz & Mao, Xiaoxin & Rao, Yuan, 2024. "A multiple criteria Bayesian hierarchical model for analyzing heterogeneous consumer preferences," Omega, Elsevier, vol. 128(C).
  45. Sule Birim & Ipek Kazancoglu & Sachin Kumar Mangla & Aysun Kahraman & Yigit Kazancoglu, 2024. "The derived demand for advertising expenses and implications on sustainability: a comparative study using deep learning and traditional machine learning methods," Annals of Operations Research, Springer, vol. 339(1), pages 131-161, August.
  46. Anton A. Gerunov, 2022. "Performance of 109 Machine Learning Algorithms across Five Forecasting Tasks: Employee Behavior Modeling, Online Communication, House Pricing, IT Support and Demand Planning," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 2, pages 15-43.
  47. Kim, Nayeon & Montreuil, Benoit & Klibi, Walid, 2022. "Inventory availability commitment under uncertainty in a dropshipping supply chain," European Journal of Operational Research, Elsevier, vol. 302(3), pages 1155-1174.
  48. Zhao, Shangwei & Xie, Tian & Ai, Xin & Yang, Guangren & Zhang, Xinyu, 2023. "Correcting sample selection bias with model averaging for consumer demand forecasting," Economic Modelling, Elsevier, vol. 123(C).
  49. Swaminathan, Kritika & Venkitasubramony, Rakesh, 2024. "Demand forecasting for fashion products: A systematic review," International Journal of Forecasting, Elsevier, vol. 40(1), pages 247-267.
  50. Dong Zhang & Chong Wu, 2023. "What online review features really matter? An explainable deep learning approach for hotel demand forecasting," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(9), pages 1100-1117, September.
  51. Bharadwaj Kadiyala & Özalp Özer & A. Serdar Şimşek, 2021. "Data‐Driven Approaches to Targeting Promotion E‐mails: The Case of Delayed Incentives," Production and Operations Management, Production and Operations Management Society, vol. 30(3), pages 766-782, March.
  52. Wen Chen, 2023. "Digital economy development, corporate social responsibility and low‐carbon innovation," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 30(4), pages 1664-1679, July.
  53. Zexing Xu & Linjun Zhang & Sitan Yang & Rasoul Etesami & Hanghang Tong & Huan Zhang & Jiawei Han, 2024. "F-FOMAML: GNN-Enhanced Meta-Learning for Peak Period Demand Forecasting with Proxy Data," Papers 2406.16221, arXiv.org.
  54. Aljuneidi, Tariq & Punia, Sushil & Jebali, Aida & Nikolopoulos, Konstantinos, 2024. "Forecasting and planning for a critical infrastructure sector during a pandemic: Empirical evidence from a food supply chain," European Journal of Operational Research, Elsevier, vol. 317(3), pages 936-952.
  55. Tao, Jiawei & Dai, Hongyan & Chen, Weiwei & Jiang, Hai, 2023. "The value of personalized dispatch in O2O on-demand delivery services," European Journal of Operational Research, Elsevier, vol. 304(3), pages 1022-1035.
  56. Martin, Simon & Rasch, Alexander, 2022. "Collusion by algorithm: The role of unobserved actions," DICE Discussion Papers 382, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
  57. Jialie Chen, 2023. "Evaluating the ending‐9 pricing strategy along the online shopping funnel," Production and Operations Management, Production and Operations Management Society, vol. 32(11), pages 3469-3483, November.
  58. Iavor Bojinov & David Simchi-Levi & Jinglong Zhao, 2023. "Design and Analysis of Switchback Experiments," Management Science, INFORMS, vol. 69(7), pages 3759-3777, July.
  59. Evgeniya Tonkova, 2017. "Applied Aspects of Automated Pricing in B2C Marketing," International Conference on Marketing and Business Development Journal, The Bucharest University of Economic Studies, vol. 1(1), pages 68-73, July.
  60. Victor Martínez‐de‐Albéniz & Arnau Planas & Stefano Nasini, 2020. "Using Clickstream Data to Improve Flash Sales Effectiveness," Production and Operations Management, Production and Operations Management Society, vol. 29(11), pages 2508-2531, November.
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