Sales Demand Forecast in E-commerce using a Long Short-Term Memory Neural Network Methodology

13 January 2019

Papers citing "Sales Demand Forecast in E-commerce using a Long Short-Term Memory Neural Network Methodology"

31 / 31 papers shown

Title
Do global forecasting models require frequent retraining? Marco Zanotti 39 0 0 01 May 2025
MCDFN: Supply Chain Demand Forecasting via an Explainable Multi-Channel Data Fusion Network Model Md Abrar Jahin Asef Shahriar Md Al Amin AI4TS 44 4 0 24 May 2024
Leveraging World Events to Predict E-Commerce Consumer Demand under Anomaly Dan Kalifa Uriel Singer Ido Guy Guy D. Rosin Kira Radinsky AI4TS 37 8 0 22 May 2024
A Survey of Time Series Foundation Models: Generalizing Time Series Representation with Large Language Model Weiqi Zhang Jiexia Ye Ke Yi Yongzi Yu Ziyue Li Jia Li Fugee Tsung AI4TS AI4CE 45 22 0 03 May 2024
RNN-BOF: A Multivariate Global Recurrent Neural Network for Binary Outcome Forecasting of Inpatient Aggression Aidan Quinn M. Simmons B. Spivak Christoph Bergmeir 19 0 0 02 Dec 2023
A Hybrid Statistical-Machine Learning Approach for Analysing Online Customer Behavior: An Empirical Study Saed Alizami Kasun Bandara A. Eshragh Foaad Iravani 16 1 0 01 Dec 2022
SETAR-Tree: A Novel and Accurate Tree Algorithm for Global Time Series Forecasting Rakshitha Godahewa G. Webb Daniel F. Schmidt Christoph Bergmeir 21 8 0 16 Nov 2022
Variational Heteroscedastic Volatility Model Zexuan Yin P. Barucca AI4TS 21 0 0 11 Apr 2022
Multivariate Time Series Forecasting with Latent Graph Inference Victor Garcia Satorras Syama Sundar Rangapuram Tim Januschowski AI4TS 36 28 0 07 Mar 2022
LIMREF: Local Interpretable Model Agnostic Rule-based Explanations for Forecasting, with an Application to Electricity Smart Meter Data Dilini Sewwandi Rajapaksha Christoph Bergmeir AI4TS 14 16 0 15 Feb 2022
LoMEF: A Framework to Produce Local Explanations for Global Model Time Series Forecasts Dilini Sewwandi Rajapaksha Christoph Bergmeir Rob J. Hyndman FAtt AI4TS 11 13 0 13 Nov 2021
A Look at the Evaluation Setup of the M5 Forecasting Competition Hansika Hewamalage Pablo Montero-Manso Christoph Bergmeir Rob J. Hyndman 65 3 0 08 Aug 2021
Leveraging Multiple Relations for Fashion Trend Forecasting Based on Social Media Yujuan Ding Yunshan Ma Lizi Liao Wai Keung Wong Tat-Seng Chua 16 14 0 07 May 2021
Stochastic Recurrent Neural Network for Multistep Time Series Forecasting Zexuan Yin P. Barucca BDL 8 4 0 26 Apr 2021
Ensembles of Localised Models for Time Series Forecasting Rakshitha Godahewa Kasun Bandara Geoffrey I. Webb Slawek Smyl Christoph Bergmeir AI4TS 27 43 0 30 Dec 2020
Global Models for Time Series Forecasting: A Simulation Study Hansika Hewamalage Christoph Bergmeir Kasun Bandara AI4TS 33 57 0 23 Dec 2020
An Accurate and Fully-Automated Ensemble Model for Weekly Time Series Forecasting Rakshitha Godahewa Christoph Bergmeir Geoffrey I. Webb Pablo Montero-Manso AI4TS 16 10 0 16 Oct 2020
Intermittent Demand Forecasting with Renewal Processes Ali Caner Türkmen Tim Januschowski Bernie Wang A. Cemgil AI4TS 17 5 0 04 Oct 2020
Concurrent Neural Network : A model of competition between times series Rémy Garnier 11 5 0 30 Sep 2020
Demand Forecasting of Individual Probability Density Functions with Machine Learning Felix Wick U. Kerzel Martin Hahn Moritz Wolf Trapti Singhal Daniel Stemmer Jakob Ernst M. Feindt OOD AI4TS 11 4 0 15 Sep 2020
Demand Forecasting using Long Short-Term Memory Neural Networks Marta Golabek Robin Senge Rainer Neumann 11 4 0 19 Aug 2020
Predicting Future Sales of Retail Products using Machine Learning Devendra Swami Alay Dilipbhai Shah Subhrajeet K B Ray 11 10 0 18 Aug 2020
Improving the Accuracy of Global Forecasting Models using Time Series Data Augmentation Kasun Bandara Hansika Hewamalage Yuan-Hao Liu Yanfei Kang Christoph Bergmeir AI4TS 16 114 0 06 Aug 2020
Simulation and Optimisation of Air Conditioning Systems using Machine Learning Rakshitha Godahewa Chang Deng Arnaud Prouzeau Christoph Bergmeir AI4CE 15 9 0 27 Jun 2020
Hierarchical robust aggregation of sales forecasts at aggregated levels in e-commerce, based on exponential smoothing and Holt's linear trend method Malo Huard Rémy Garnier Gilles Stoltz 11 6 0 05 Jun 2020
Towards Accurate Predictions and Causal 'What-if' Analyses for Planning and Policy-making: A Case Study in Emergency Medical Services Demand Kasun Bandara Christoph Bergmeir Sam Campbell Deborah Scott D. Lubman 14 11 0 25 Apr 2020
Deep Learning for Time Series Forecasting: Tutorial and Literature Survey Konstantinos Benidis Syama Sundar Rangapuram Valentin Flunkert Bernie Wang Danielle C. Maddix ... David Salinas Lorenzo Stella François-Xavier Aubet Laurent Callot Tim Januschowski AI4TS 25 176 0 21 Apr 2020
Neural network based country wise risk prediction of COVID-19 Ratnabali Pal A. Sekh S. Kar D. Prasad 14 144 0 31 Mar 2020
LSTM-MSNet: Leveraging Forecasts on Sets of Related Time Series with Multiple Seasonal Patterns Kasun Bandara Christoph Bergmeir Hansika Hewamalage AI4TS 14 138 0 10 Sep 2019
Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions Hansika Hewamalage Christoph Bergmeir Kasun Bandara AI4TS 11 872 0 02 Sep 2019
A multi-series framework for demand forecasts in E-commerce Rémy Garnier A. Bellétoile AI4TS 10 2 0 31 May 2019