| The Potential of Large Language Models in Supply Chain Management: Advancing Decision-Making, Efficiency, and Innovation | Jan 26, 2025 | Decision MakingDemand Forecasting | —Unverified | 0 |
| Optimizing Supply Chain Networks with the Power of Graph Neural Networks | Jan 7, 2025 | Demand ForecastingGraph Representation Learning | —Unverified | 0 |
| Automated Demand Forecasting in small to medium-sized enterprises | Dec 29, 2024 | Additive modelsDemand Forecasting | —Unverified | 0 |
| A Comprehensive Forecasting Framework based on Multi-Stage Hierarchical Forecasting Reconciliation and Adjustment | Dec 19, 2024 | Bayesian OptimizationDemand Forecasting | —Unverified | 0 |
| LLMForecaster: Improving Seasonal Event Forecasts with Unstructured Textual Data | Dec 3, 2024 | Demand ForecastingTime Series | —Unverified | 0 |
| Enhanced N-BEATS for Mid-Term Electricity Demand Forecasting | Dec 2, 2024 | Demand ForecastingLoad Forecasting | —Unverified | 0 |
| Graph Neural Networks in Supply Chain Analytics and Optimization: Concepts, Perspectives, Dataset and Benchmarks | Nov 13, 2024 | Anomaly DetectionDemand Forecasting | CodeCode Available | 2 |
| SPADE Split Peak Attention DEcomposition | Nov 6, 2024 | Demand Forecasting | —Unverified | 0 |
| Leveraging Microservices Architecture for Dynamic Pricing in the Travel Industry: Algorithms, Scalability, and Impact on Revenue and Customer Satisfaction | Nov 3, 2024 | Demand Forecasting | —Unverified | 0 |
| LTPNet Integration of Deep Learning and Environmental Decision Support Systems for Renewable Energy Demand Forecasting | Oct 20, 2024 | Deep LearningDemand Forecasting | —Unverified | 0 |
