Copertina

Multi-Task Temporal Fusion Transformer for Joint Sales and Inventory Forecasting in Amazon E-Commerce Supply Chain

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Hu, Zheqi, Hu, Yiwen, Li, Hanwu
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computational Engineering, Finance, and Science
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

AttnBoost: Retail Supply Chain Sales Insights via Gradient Boosting Perspective
di: Liu, Yadi, et al.
Pubblicazione: (2025)

Leveraging Time Series Categorization and Temporal Fusion Transformers to Improve Cryptocurrency Price Forecasting
di: Peik, Arash, et al.
Pubblicazione: (2024)

Adaptive Temporal Fusion Transformers for Cryptocurrency Price Prediction
di: Peik, Arash, et al.
Pubblicazione: (2025)

Research on stock price forecast of general electric based on mixed CNN-LSTM model
di: Hu, Zi-xi, et al.
Pubblicazione: (2025)

Background-aware Multi-source Fusion Financial Trend Forecasting Mechanism
di: Mo, Fengting, et al.
Pubblicazione: (2024)

Analyzing Challenges in Deployment of the SLSA Framework for Software Supply Chain Security
di: Tamanna, Mahzabin, et al.
Pubblicazione: (2024)

Early-Warning Learner Satisfaction Forecasting in MOOCs via Temporal Event Transformers and LLM Text Embeddings
di: Kowalczyk, Anna, et al.
Pubblicazione: (2026)

IVE: Enhanced Probabilistic Forecasting of Intraday Volume Ratio with Transformers
di: Lee, Hanwool, et al.
Pubblicazione: (2024)

MTMD: Multi-Scale Temporal Memory Learning and Efficient Debiasing Framework for Stock Trend Forecasting
di: Wang, Mingjie, et al.
Pubblicazione: (2022)

gym-invmgmt: An Open Benchmarking Framework for Inventory Management Methods
di: Barati, Reza, et al.
Pubblicazione: (2026)

Tokenizing Stock Prices for Enhanced Multi-Step Forecast and Prediction
di: Zhu, Zhuohang, et al.
Pubblicazione: (2025)

A Study of Dynamic Stock Relationship Modeling and S&P500 Price Forecasting Based on Differential Graph Transformer
di: Hu, Linyue, et al.
Pubblicazione: (2025)

Leveraging Blockchain and ANFIS for Optimal Supply Chain Management
di: Farhadi, Amirfarhad, et al.
Pubblicazione: (2024)

A Deep Learning Algorithm Based on CNN-LSTM Framework for Predicting Cancer Drug Sales Volume
di: Li, Yinghan, et al.
Pubblicazione: (2025)

Inventory policy for the vaccine of a new pandemic
di: Pınarbaşı, Aysun, et al.
Pubblicazione: (2024)

HRFT: Mining High-Frequency Risk Factor Collections End-to-End via Transformer
di: Xu, Wenyan, et al.
Pubblicazione: (2024)

Transformers Applied to Short-term Solar PV Power Output Forecasting
di: Scott, Andea, et al.
Pubblicazione: (2025)

An Analytics-Driven Approach to Enhancing Supply Chain Visibility with Graph Neural Networks and Federated Learning
di: Zheng, Ge, et al.
Pubblicazione: (2025)

Wideband Beamforming with RIS: A Unified Framework via Space-Frequency Transformation
di: Qian, Xiaowei, et al.
Pubblicazione: (2024)

Implementing Zero Trust Architecture to Enhance Security and Resilience in the Pharmaceutical Supply Chain
di: Ghasemshirazi, Saeid, et al.
Pubblicazione: (2025)

Reverse Supply Chain Network Design of a Polyurethane Waste Upcycling System
di: Özkan, Dalga Merve, et al.
Pubblicazione: (2025)

An End-to-end Building Load Forecasting Framework with Patch-based Information Fusion Network and Error-weighted Adaptive Loss
di: Fan, Hang, et al.
Pubblicazione: (2026)

AI in Supply Chain Risk Assessment: A Systematic Literature Review and Bibliometric Analysis
di: Jahin, Md Abrar, et al.
Pubblicazione: (2023)

Graph Neural Networks in Supply Chain Analytics and Optimization: Concepts, Perspectives, Dataset and Benchmarks
di: Wasi, Azmine Toushik, et al.
Pubblicazione: (2024)

Transformers Beyond Order: A Chaos-Markov-Gaussian Framework for Short-Term Sentiment Forecasting of Any Financial OHLC timeseries Data
di: Pathan, Arif
Pubblicazione: (2025)

EXFormer: A Multi-Scale Trend-Aware Transformer with Dynamic Variable Selection for Foreign Exchange Returns Prediction
di: Liu, Dinggao, et al.
Pubblicazione: (2025)

UniField: Joint Multi-Domain Training for Universal Surface Pressure Modeling
di: Zou, Junhong, et al.
Pubblicazione: (2025)

MStableChain: Towards Multi-Native Stablecoins in EVM-Compatible Blockchain for Stable Fee and Mass Adoption
di: Li, Mingzhe, et al.
Pubblicazione: (2024)

A Deep Learning Framework for Medium-Term Covariance Forecasting in Multi-Asset Portfolios
di: Reis, Pedro, et al.
Pubblicazione: (2025)

BioXArena: Benchmarking LLM Agents on Multi-Modal Biomedical Machine Learning Tasks
di: Li, Loka, et al.
Pubblicazione: (2026)

Hierarchical Multi-Objective Optimization for Precise Performance Design of Closed-Chain Legged Mechanisms
di: Guo, Long, et al.
Pubblicazione: (2025)

Physics-Informed Surrogates for Temperature Prediction of Multi-Tracks in Laser Powder Bed Fusion
di: Safari, Hesameddin, et al.
Pubblicazione: (2025)

Enhancing Supply Chain Visibility with Generative AI: An Exploratory Case Study on Relationship Prediction in Knowledge Graphs
di: Zheng, Ge, et al.
Pubblicazione: (2024)

The Statistical Significance of the Inclusion of Graph Neural Networks in the Financial Time Series Forecasting Problem
di: Gregnanin, Marco, et al.
Pubblicazione: (2026)

FinMamba: Market-Aware Graph Enhanced Multi-Level Mamba for Stock Movement Prediction
di: Hu, Yifan, et al.
Pubblicazione: (2025)

FinSentLLM: Multi-LLM and Structured Semantic Signals for Enhanced Financial Sentiment Forecasting
di: Zhang, Zijian, et al.
Pubblicazione: (2025)

Temperature Prediction for Stored Grain: A Multi-model Fusion Approach Based on Machine Learning
di: Chen, Donghao, et al.
Pubblicazione: (2024)

Designing On-Chain Options: Amortizing Perpetual Options
di: Bichuch, Maxim, et al.
Pubblicazione: (2026)

Hidformer: Transformer-Style Neural Network in Stock Price Forecasting
di: Szydłowski, Kamil Ł., et al.
Pubblicazione: (2024)

Zero-Shot Forecasting of Network Dynamics through Weight Flow Matching
di: Zhou, Shihe, et al.
Pubblicazione: (2025)