Demand Forecasting

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19 papers

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  1. Demand Transfer Estimation at Scale via Restricted Logit Modeling

    Aug 13, 2026Lakshya Garg, Deep Narayan Mishra, Swapnil Yadav +4Demand ForecastingDiscrete Choice Models

  2. Contextual Deconvolution for Variance-Stable Demand Sensing: Kernel-Modulated Operators in Promotional Retail

    Jul 28, 2026Mohammad ForouheshDemand ForecastingMonotonic Inventory Estimation

  3. A Predict-then-Correct Loop Based on Few-Shot Continuous Contextual Bandit for Demand Forecasting

    Jul 17, 2026Zhiwei Lei, Benedict Jun Ma, Ilya JacksonDemand ForecastingLinear Contextual Bandits

  4. Accuracy-Preserving Stability Regularization for Large-Scale Retail Demand Forecasting

    Jul 14, 2026Jize Li, Jiani He, Dishu Yang +3Demand ForecastingRegularization Techniques

  5. Optimizing ARDL Models for Retail Sales Forecasting and Fair Pricing

    Jul 10, 2026Sujay Uday RittikarDemand ForecastingPrices

  6. Estimation, Prediction, and Assortment Optimization for Markov Chain Choice Models with Panel Data

    Jul 10, 2026Yalcin Akcay, Gerardo Berbeglia, Young-San LinDiscrete Choice ModelsSemiparametric Framework

  7. GNBAN: Graph Neural Basis Attention Networks for Long-Horizon Forecasting over Large Entity Sets

    Jun 26, 2026Janak M. Patel, Anirudh Deodhar, Dagnachew BirruDemand ForecastingLong-Horizon Forecasting

  8. High-Frequency Pricing at Scale for E-Commerce

    Jun 11, 2026Stefan Birr, Tobias Huelden, Mones Raslan +7Demand ForecastingPrices

  9. Integrating Deep Learning Demand Forecasting with Multi-Objective Optimization for Circular Coffee Supply Chains: A Data-Driven Framework for Cost, Emissions, and Freshness Management

    Jun 6, 2026Gerçek Budak, Faraz Gholamzadeh Gharehgheshlaghi, Melika Barjesteh Vaezi +1Demand ForecastingSupply Chain Optimization

  10. Learning Fair Demand Models

    Jun 5, 2026Adam N. Elmachtoub, Hyemi Kim, Jonathan Y. TanFairness ConstraintsPrices

  11. Should Demand Models Incorporate Competitor Prices? Oblivious Learning and Algorithmic Collusion

    Jun 3, 2026Yuhang Wu, Assaf ZeeviAlgorithmic CollusionMatching Markets

  12. Assessing the Operational Viability of Foundation Models for Time Series Forecasting

    May 23, 2026Kavin Soni, Debanshu Das, Vamshi GuduguntlaTime Series Foundation ModelsWireless Foundation Models

  13. Integrable Elasticity via Neural Demand Potentials

    May 21, 2026Carlos Heredia, Daniel RoncelDemand ForecastingPrices

  14. Nonparametric Learning and Earning with One-Point Feedback under Nonstationarity

    May 20, 2026Xiangyu Yang, Feng Xu, Jian-Qiang Hu +1Non-StationarityLearning-Augmented Algorithms

  15. Dual-Temporal LSTM with Hybrid Attention for Airline Passenger Load Factor Forecasting: Integrating Intra-Flight and Inter-Flight Booking Dynamics

    May 12, 2026ASM Nazrul Islam, Md. Hasanul Kabir, Md. Liakot Ali +1Demand ForecastingBidirectional Long Short-Term Memory

  16. Federated Learning for Early Prediction of EV Charging Demand

    May 6, 2026Vasilis Perifanis, Foteini Nikolaidou, Nikolaos Pavlidis +2Electric VehiclesElectricity Price Forecasting

  17. Hybrid Deep Learning Approach for Coupled Demand Forecasting and Supply Chain Optimization

    Apr 23, 2026Nusrat Yasmin Nadia, Md Habibul Arif, Habibor Rahman Rabby +3Demand ForecastingSupply Chain Optimization

  18. Adaptive Automatic Model Selection for Demand Forecasting under Heterogeneous Demand Patterns

    Feb 15, 2026Adolfo González, Víctor ParadaDemand ForecastingModel Selection

  19. Federated Graph Learning for EV Charging Demand Forecasting with Personalization Against Cyberattacks

    Apr 30, 2024Yi Li, Renyou Xie, Chaojie Li +2Electric VehiclesFederated Graph Learning