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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. Carlos Fernández-Loría & Foster Provost, 2025. "Observational vs. Experimental Data When Making Automated Decisions Using Machine Learning," INFORMS Joural on Data Science, INFORMS, vol. 4(3), pages 197-229, July.
  3. 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).
  4. Ali Aouad & Adam N. Elmachtoub & Kris J. Ferreira & Ryan McNellis, 2023. "Market Segmentation Trees," Manufacturing & Service Operations Management, INFORMS, vol. 25(2), pages 648-667, March.
  5. 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).
  6. Chacon, Alvaro & Kaufmann, Esther, 2025. "An overview of the effects of algorithm use on judgmental biases affecting forecasting," International Journal of Forecasting, Elsevier, vol. 41(2), pages 424-439.
  7. Ningyuan Chen & Andre A. Cire & Ming Hu & Saman Lagzi, 2023. "Model-Free Assortment Pricing with Transaction Data," Management Science, INFORMS, vol. 69(10), pages 5830-5847, October.
  8. Melvyn Sim & Qinshen Tang & Minglong Zhou & Taozeng Zhu, 2025. "The Analytics of Robust Satisficing: Predict, Optimize, Satisfice, Then Fortify," Operations Research, INFORMS, vol. 73(5), pages 2708-2728, September.
  9. 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.
  10. Saccomanno, Francesco Paolo & Trivella, Alessio & Guerriero, Francesca, 2026. "Integrated sales planning for in-store retail: A multi-stage stochastic optimization approach," European Journal of Operational Research, Elsevier, vol. 329(2), pages 669-686.
  11. Jongeun Kim & Jean-Philippe P. Richard & Mohit Tawarmalani, 2025. "A Reciprocity Between Tree Ensemble Optimization and Multilinear Optimization," Operations Research, INFORMS, vol. 73(5), pages 2610-2626, September.
  12. 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.
  13. 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.
  14. 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.
  15. 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.
  16. Zhaohui (Zoey) Jiang & Jun Li, 2025. "Instrumenting While Experimenting: An Empirical Method for Competitive Pricing at Scale," Operations Research, INFORMS, vol. 73(5), pages 2477-2495, September.
  17. 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.
  18. Sanjith Gopalakrishnan & Moksh Matta & Mona Imanpoor Yourdshahy & Vivek Choudhary, 2023. "Go Wide or Go Deep? Assortment Strategy and Order Fulfillment in Online Retail," Manufacturing & Service Operations Management, INFORMS, vol. 25(3), pages 846-861, May.
  19. Maxime C. Cohen & Renyu Zhang & Kevin Jiao, 2022. "Data Aggregation and Demand Prediction," Operations Research, INFORMS, vol. 70(5), pages 2597-2618, September.
  20. 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.
  21. 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).
  22. 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.
  23. Yun Fong Lim & Song Jiu & Marcus Ang, 2021. "Integrating Anticipative Replenishment Allocation with Reactive Fulfillment for Online Retailing Using Robust Optimization," Manufacturing & Service Operations Management, INFORMS, vol. 23(6), pages 1616-1633, November.
  24. Simon Martin & Alexander Rasch, 2022. "Collusion by Algorithm: The Role of Unobserved Actions," CESifo Working Paper Series 9629, CESifo.
  25. David Simchi-Levi & Yunzong Xu & Jinglong Zhao, 2025. "Blind Network Revenue Management and Bandits with Knapsacks Under Limited Switches," Operations Research, INFORMS, vol. 73(5), pages 2496-2514, September.
  26. 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.
  27. 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.
  28. Jingying Ding & Woonghee Tim Huh & Ying Rong, 2024. "Feature-Based Inventory Control with Censored Demand," Manufacturing & Service Operations Management, INFORMS, vol. 26(3), pages 1157-1172, May.
  29. Hanzhao Wang & Kalyan Talluri & Xiaocheng Li, 2025. "Technical Note—On Dynamic Pricing with Covariates," Operations Research, INFORMS, vol. 73(4), pages 1932-1943, July.
  30. Li Chen & Melvyn Sim & Xun Zhang & Long Zhao & Minglong Zhou, 2026. "Robust Actionable Prescriptive Analytics," Operations Research, INFORMS, vol. 74(1), pages 550-571, January.
  31. M. Harshvardhan & Cara Curtland & Jerry Hwang & Chuck VanDam & Adam Ghozeil & Pedro A. Neto & Frederic Marie & Chuanren Liu, 2025. "Print Demand Forecasting with Machine Learning at HP Inc," Interfaces, INFORMS, vol. 55(6), pages 469-483, November.
  32. 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.
  33. 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.
  34. Nooshin Salari & Sheng Liu & Zuo-Jun Max Shen, 2022. "Real-Time Delivery Time Forecasting and Promising in Online Retailing: When Will Your Package Arrive?," Manufacturing & Service Operations Management, INFORMS, vol. 24(3), pages 1421-1436, May.
  35. 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.
  36. 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).
  37. 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.
  38. 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.
  39. 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.
  40. Kris Johnson Ferreira & Emily Mower, 2023. "Demand Learning and Pricing for Varying Assortments," Manufacturing & Service Operations Management, INFORMS, vol. 25(4), pages 1227-1244, July.
  41. Fildes, Robert & Ma, Shaohui & Kolassa, Stephan, 2019. "Retail forecasting: research and practice," MPRA Paper 89356, University Library of Munich, Germany.
  42. 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.
  43. 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.
  44. Sushil Punia, 2026. "Medium‐ to Long‐Term Demand Forecasting in Retail and Manufacturing Organizations: Integration of Machine Learning, Human Judgment, and Interval Variable," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 45(1), pages 122-134, January.
  45. Aglaya Batz & David F. D’Croz-Barón & Carlos Jesús Vega Pérez & Carlos A. Ojeda-Sanchez, 2025. "Integrating machine learning into business and management in the age of artificial intelligence," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-20, December.
  46. 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).
  47. N. Bora Keskin & Yuexing Li & Nur Sunar, 2025. "Data-Driven Clustering and Feature-Based Retail Electricity Pricing with Smart Meters," Operations Research, INFORMS, vol. 73(5), pages 2636-2660, September.
  48. Qing Feng & Ruihao Zhu & Stefanus Jasin, 2025. "Temporal Fairness in Learning and Earning: Price Protection Guarantee and Phase Transitions," Operations Research, INFORMS, vol. 73(2), pages 775-797, March.
  49. 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.
  50. Matthew DosSantos DiSorbo & Kris Johnson Ferreira & Maya Balakrishnan & Jordan Tong, 2025. "Warnings and Endorsements: Improving Human–AI Collaboration in the Presence of Outliers," Manufacturing & Service Operations Management, INFORMS, vol. 27(6), pages 1814-1831, November.
  51. David Simchi-Levi & Chonghuan Wang, 2026. "Pricing Experimental Design: Causal Effect, Expected Revenue and Tail Risk," Management Science, INFORMS, vol. 72(2), pages 1157-1174, February.
  52. 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.
  53. 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.
  54. 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.
  55. 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.
  56. 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.
  57. Chandrasekhar Manchiraju & Milind Dawande & Ganesh Janakiraman, 2024. "Technical Note—A Note on State-Independent Policies in Network Revenue Management," Operations Research, INFORMS, vol. 72(1), pages 277-287, January.
  58. Alexandre Jacquillat, 2022. "Predictive and Prescriptive Analytics Toward Passenger-Centric Ground Delay Programs," Transportation Science, INFORMS, vol. 56(2), pages 265-298, March.
  59. Hansheng Jiang & Junyu Cao & Zuo-Jun Max Shen, 2024. "Intertemporal Pricing via Nonparametric Estimation: Integrating Reference Effects and Consumer Heterogeneity," Manufacturing & Service Operations Management, INFORMS, vol. 26(1), pages 28-46, January.
  60. 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.
  61. 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).
  62. Jingwen Tang & Zhengling Qi & Ethan Fang & Cong Shi, 2025. "Offline Feature-Based Pricing Under Censored Demand: A Causal Inference Approach," Manufacturing & Service Operations Management, INFORMS, vol. 27(2), pages 535-553, March.
  63. 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).
  64. Dayton Steele & Seyed Morteza Emadi & Saravanan Kesavan, 2025. "Intertemporal Pricing with Resellers: An Empirical Study of Product Drops," Management Science, INFORMS, vol. 71(9), pages 7263-7285, September.
  65. Ikeda, Shunnosuke & Nishimura, Naoki & Sukegawa, Noriyoshi & Takano, Yuichi, 2023. "Prescriptive price optimization using optimal regression trees," Operations Research Perspectives, Elsevier, vol. 11(C).
  66. 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).
  67. 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).
  68. Melika Khandan & Pooya Hoseinpour, 2025. "Incorporating Promotional Effects in Sales Planning of the Retail Industry Using Geometric Programming," INFORMS Journal on Computing, INFORMS, vol. 37(5), pages 1284-1305, September.
  69. 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.
  70. 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.
  71. Chandrasekhar Manchiraju & Milind Dawande & Ganesh Janakiraman & Arvind Raghunathan, 2024. "Dynamic Pricing and Capacity Optimization in Railways," Manufacturing & Service Operations Management, INFORMS, vol. 26(1), pages 350-369, January.
  72. Ningyuan Chen & Ming Hu, 2023. "Frontiers in Service Science: Data-Driven Revenue Management: The Interplay of Data, Model, and Decisions," Service Science, INFORMS, vol. 15(2), pages 79-91, June.
  73. 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.
  74. Alex Tschan & Lars Hetzel & Ralf Eisinger & Carolin Eggen & Claudia Heuser & Victoria Fritz, 2025. "Data-Driven Inventory Control and Integrated Employee Involvement for Special Buys at ALDI SÜD Germany," Interfaces, INFORMS, vol. 55(1), pages 22-35, January.
  75. 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.
  76. 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.
  77. 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.
  78. 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.
  79. 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.
  80. Iavor Bojinov & David Simchi-Levi & Jinglong Zhao, 2023. "Design and Analysis of Switchback Experiments," Management Science, INFORMS, vol. 69(7), pages 3759-3777, July.
  81. Xiaojia Guo & Yael Grushka-Cockayne & Bert De Reyck, 2022. "Forecasting Airport Transfer Passenger Flow Using Real-Time Data and Machine Learning," Manufacturing & Service Operations Management, INFORMS, vol. 24(6), pages 3193-3214, November.
  82. 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.
  83. 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.
  84. Dazhou Lei & Yongzhi Qi & Sheng Liu & Dongyang Geng & Jianshen Zhang & Hao Hu & Zuo-Jun Max Shen, 2025. "Pooling and Boosting for Demand Prediction in Retail: A Transfer Learning Approach," Manufacturing & Service Operations Management, INFORMS, vol. 27(6), pages 1779-1794, November.
  85. Timothy C. Y. Chan & Rafid Mahmood & Deborah L. O’Connor & Debbie Stone & Sharon Unger & Rachel K. Wong & Ian Yihang Zhu, 2025. "Got (Optimal) Milk? Pooling Donations in Human Milk Banks with Machine Learning and Optimization," Manufacturing & Service Operations Management, INFORMS, vol. 27(6), pages 1721-1739, November.
  86. Zhaohui (Zoey) Jiang & Jun Li & Dennis Zhang, 2025. "A High-Dimensional Choice Model for Online Retailing," Management Science, INFORMS, vol. 71(4), pages 3320-3339, April.
  87. Hikima, Yuya & Takeda, Akiko, 2025. "Stochastic approach for price optimization problems with decision-dependent uncertainty," European Journal of Operational Research, Elsevier, vol. 322(2), pages 541-553.
  88. 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).
  89. Victor Martínez-de-Albéniz & Catarina Pinto & Pedro Amorim, 2022. "Driving Supply to Marketplaces: Optimal Platform Pricing When Suppliers Share Inventory," Manufacturing & Service Operations Management, INFORMS, vol. 24(4), pages 2367-2386, July.
  90. 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.
  91. 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.
  92. 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.
  93. Gad Allon & Joseph Carlstein & Yonatan Gur, 2025. "Leveraging Consensus Effect to Optimize Ranking in Online Discussion Boards," Manufacturing & Service Operations Management, INFORMS, vol. 27(6), pages 1701-1720, November.
  94. 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.
  95. Yuming Zhai & Lixin Zhang & Mingchuan Yu, 2024. "AI in Human Resource Management: Literature Review and Research Implications," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(4), pages 16227-16263, December.
  96. 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.
  97. Qiyuan Deng & Xiaobo Li & Yun Fong Lim & Fang Liu, 2024. "Optimal Policies and Heuristics to Match Supply with Demand for Online Retailing," Manufacturing & Service Operations Management, INFORMS, vol. 26(5), pages 1925-1944, September.
  98. 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.
  99. Xiaoyang Long & Jiankun Sun & Hengchen Dai & Dennis Zhang & Jianfeng Zhang & Yujie Chen & Haoyuan Hu & Binqiang Zhao, 2025. "The Choice Overload Effect in Online Recommender Systems," Manufacturing & Service Operations Management, INFORMS, vol. 27(1), pages 249-268, January.
  100. 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.
  101. Swaminathan, Kritika & Venkitasubramony, Rakesh, 2024. "Demand forecasting for fashion products: A systematic review," International Journal of Forecasting, Elsevier, vol. 40(1), pages 247-267.
  102. 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.
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