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Sales Demand Forecast in E-commerce using a Long Short-Term Memory
  Neural Network Methodology
v1v2 (latest)

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

13 January 2019
Kasun Bandara
Peibei Shi
Christoph Bergmeir
Hansika Hewamalage
Quoc-Huy Tran
Brian Seaman
    AI4TS
ArXiv (abs)PDFHTML

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

29 / 29 papers shown
BinConv: A Neural Architecture for Ordinal Encoding in Time-Series Forecasting
BinConv: A Neural Architecture for Ordinal Encoding in Time-Series Forecasting
Andrei Chernov
Vitaliy Pozdnyakov
Ilya Makarov
AI4TS
394
0
0
30 May 2025
On the retraining frequency of global models in retail demand forecasting
On the retraining frequency of global models in retail demand forecasting
Marco Zanotti
490
2
0
01 May 2025
Deep Learning for Time Series Forecasting: A Survey
Deep Learning for Time Series Forecasting: A SurveyInternational Journal of Machine Learning and Cybernetics (IJMLC), 2025
X. Kong
Zhenghao Chen
Weiyao Liu
Kaili Ning
Lechao Zhang
Syauqie Muhammad Marier
Yichen Liu
Yuhao Chen
Xiwei Xu
AI4TSAI4CE
425
65
0
13 Mar 2025
MCDFN: Supply Chain Demand Forecasting via an Explainable Multi-Channel Data Fusion Network Model
MCDFN: Supply Chain Demand Forecasting via an Explainable Multi-Channel Data Fusion Network Model
Md Abrar Jahin
Asef Shahriar
Md Al Amin
AI4TS
395
31
0
24 May 2024
Leveraging World Events to Predict E-Commerce Consumer Demand under
  Anomaly
Leveraging World Events to Predict E-Commerce Consumer Demand under Anomaly
Dan Kalifa
Uriel Singer
Ido Guy
Guy D. Rosin
Kira Radinsky
AI4TS
222
16
0
22 May 2024
RNN-BOF: A Multivariate Global Recurrent Neural Network for Binary
  Outcome Forecasting of Inpatient Aggression
RNN-BOF: A Multivariate Global Recurrent Neural Network for Binary Outcome Forecasting of Inpatient AggressionIEEE International Joint Conference on Neural Network (IJCNN), 2022
Aidan Quinn
M. Simmons
B. Spivak
Christoph Bergmeir
280
0
0
02 Dec 2023
A Hybrid Statistical-Machine Learning Approach for Analysing Online
  Customer Behavior: An Empirical Study
A Hybrid Statistical-Machine Learning Approach for Analysing Online Customer Behavior: An Empirical Study
Saed Alizami
Kasun Bandara
A. Eshragh
Foaad Iravani
196
3
0
01 Dec 2022
SETAR-Tree: A Novel and Accurate Tree Algorithm for Global Time Series
  Forecasting
SETAR-Tree: A Novel and Accurate Tree Algorithm for Global Time Series ForecastingMachine-mediated learning (ML), 2022
Rakshitha Godahewa
G. Webb
Daniel F. Schmidt
Christoph Bergmeir
223
12
0
16 Nov 2022
Multivariate Time Series Forecasting with Latent Graph Inference
Multivariate Time Series Forecasting with Latent Graph Inference
Victor Garcia Satorras
Syama Sundar Rangapuram
Tim Januschowski
AI4TS
310
34
0
07 Mar 2022
LIMREF: Local Interpretable Model Agnostic Rule-based Explanations for
  Forecasting, with an Application to Electricity Smart Meter Data
LIMREF: Local Interpretable Model Agnostic Rule-based Explanations for Forecasting, with an Application to Electricity Smart Meter DataAAAI Conference on Artificial Intelligence (AAAI), 2022
Dilini Sewwandi Rajapaksha
Christoph Bergmeir
AI4TS
205
19
0
15 Feb 2022
LoMEF: A Framework to Produce Local Explanations for Global Model Time
  Series Forecasts
LoMEF: A Framework to Produce Local Explanations for Global Model Time Series ForecastsInternational Journal of Forecasting (IJF), 2021
Dilini Sewwandi Rajapaksha
Christoph Bergmeir
Rob J. Hyndman
FAttAI4TS
239
15
0
13 Nov 2021
A Look at the Evaluation Setup of the M5 Forecasting Competition
A Look at the Evaluation Setup of the M5 Forecasting Competition
Hansika Hewamalage
Pablo Montero-Manso
Christoph Bergmeir
Rob J. Hyndman
294
3
0
08 Aug 2021
Stochastic Recurrent Neural Network for Multistep Time Series
  Forecasting
Stochastic Recurrent Neural Network for Multistep Time Series ForecastingInternational Conference on Neural Information Processing (ICONIP), 2021
Zexuan Yin
P. Barucca
BDL
298
5
0
26 Apr 2021
Ensembles of Localised Models for Time Series Forecasting
Ensembles of Localised Models for Time Series ForecastingKnowledge-Based Systems (KBS), 2020
Rakshitha Godahewa
Kasun Bandara
Geoffrey I. Webb
Slawek Smyl
Christoph Bergmeir
AI4TS
436
51
0
30 Dec 2020
Global Models for Time Series Forecasting: A Simulation Study
Global Models for Time Series Forecasting: A Simulation StudyPattern Recognition (Pattern Recognit.), 2020
Hansika Hewamalage
Christoph Bergmeir
Kasun Bandara
AI4TS
555
79
0
23 Dec 2020
An Accurate and Fully-Automated Ensemble Model for Weekly Time Series
  Forecasting
An Accurate and Fully-Automated Ensemble Model for Weekly Time Series Forecasting
Rakshitha Godahewa
Christoph Bergmeir
Geoffrey I. Webb
Pablo Montero-Manso
AI4TS
245
13
0
16 Oct 2020
Intermittent Demand Forecasting with Renewal Processes
Intermittent Demand Forecasting with Renewal Processes
Ali Caner Türkmen
Tim Januschowski
Bernie Wang
A. Cemgil
AI4TS
161
6
0
04 Oct 2020
Concurrent Neural Network : A model of competition between times series
Concurrent Neural Network : A model of competition between times series
Rémy Garnier
303
7
0
30 Sep 2020
Demand Forecasting of Individual Probability Density Functions with
  Machine Learning
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
OODAI4TS
445
4
0
15 Sep 2020
Demand Forecasting using Long Short-Term Memory Neural Networks
Demand Forecasting using Long Short-Term Memory Neural Networks
Marta Golabek
Robin Senge
Rainer Neumann
102
5
0
19 Aug 2020
Predicting Future Sales of Retail Products using Machine Learning
Predicting Future Sales of Retail Products using Machine Learning
Devendra Swami
Alay Dilipbhai Shah
Subhrajeet K B Ray
166
19
0
18 Aug 2020
Improving the Accuracy of Global Forecasting Models using Time Series
  Data Augmentation
Improving the Accuracy of Global Forecasting Models using Time Series Data AugmentationPattern Recognition (Pattern Recognit.), 2020
Kasun Bandara
Hansika Hewamalage
Yuan-Hao Liu
Yanfei Kang
Christoph Bergmeir
AI4TS
374
141
0
06 Aug 2020
Simulation and Optimisation of Air Conditioning Systems using Machine
  Learning
Simulation and Optimisation of Air Conditioning Systems using Machine Learning
Rakshitha Godahewa
Chang Deng
Arnaud Prouzeau
Christoph Bergmeir
AI4CE
298
11
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
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
Jean-Michel Poggi
151
9
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
Towards Accurate Predictions and Causal 'What-if' Analyses for Planning and Policy-making: A Case Study in Emergency Medical Services DemandIEEE International Joint Conference on Neural Network (IJCNN), 2020
Kasun Bandara
Christoph Bergmeir
Sam Campbell
Deborah Scott
D. Lubman
295
11
0
25 Apr 2020
Deep Learning for Time Series Forecasting: Tutorial and Literature
  Survey
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
507
325
0
21 Apr 2020
Neural network based country wise risk prediction of COVID-19
Neural network based country wise risk prediction of COVID-19Applied Sciences (Appl. Sci.), 2020
Ratnabali Pal
A. Sekh
S. Kar
D. Prasad
263
149
0
31 Mar 2020
LSTM-MSNet: Leveraging Forecasts on Sets of Related Time Series with
  Multiple Seasonal Patterns
LSTM-MSNet: Leveraging Forecasts on Sets of Related Time Series with Multiple Seasonal PatternsIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019
Kasun Bandara
Christoph Bergmeir
Hansika Hewamalage
AI4TS
379
169
0
10 Sep 2019
Recurrent Neural Networks for Time Series Forecasting: Current Status
  and Future Directions
Recurrent Neural Networks for Time Series Forecasting: Current Status and Future DirectionsInternational Journal of Forecasting (IJF), 2019
Hansika Hewamalage
Christoph Bergmeir
Kasun Bandara
AI4TS
551
1,170
0
02 Sep 2019
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