Markdowns in E-Commerce Fresh Retail: A Counterfactual Prediction and
Multi-Period Optimization Approach

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Markdowns in E-Commerce Fresh Retail: A Counterfactual Prediction and Multi-Period Optimization Approach

18 May 2021

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Papers citing "Markdowns in E-Commerce Fresh Retail: A Counterfactual Prediction and Multi-Period Optimization Approach"

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Title
An Empirical Examination of Balancing Strategy for Counterfactual Estimation on Time Series Qiang Huang Chuizheng Meng Defu Cao Biwei Huang Yi Chang Yan Liu 111 1 0 16 Aug 2024
Improve ROI with Causal Learning and Conformal Prediction Meng Ai Zhuo Chen Jibin Wang Jing Shang Tao Tao Zhen Li 90 1 0 01 Jul 2024
DISCO: An End-to-End Bandit Framework for Personalised Discount Allocation Jason Shuo Zhang Benjamin Howson Panayiota Savva Eleanor Loh 41 1 0 10 Jun 2024
Direct Heterogeneous Causal Learning for Resource Allocation Problems in Marketing Hao Zhou Shaoming Li Guibin Jiang Jiaqi Zheng Dong Wang 62 19 0 28 Nov 2022
Promotheus: An End-to-End Machine Learning Framework for Optimizing Markdown in Online Fashion E-commerce Eleanor Loh Jalaj Khandelwal B. Regan Duncan A. Little 57 10 0 03 Jul 2022
Machine Learning based Framework for Robust Price-Sensitivity Estimation with Application to Airline Pricing Ravi Kumar Shahin Boluki Karl Isler Jonas Rauch Darius Walczak OOD 34 1 0 04 May 2022
GCF: Generalized Causal Forest for Heterogeneous Treatment Effect Estimation in Online Marketplace Shu Wan Chen Zheng Zhonggen Sun Mengfan Xu Xiaoqing Yang Hong-Tu Zhu Jiecheng Guo 59 7 0 21 Mar 2022