A Hybrid Temporal Convolutional Network and Transformer Model for Accurate and Scalable Sales Forecasting

A Hybrid Temporal Convolutional Network and Transformer Model for Accurate and Scalable Sales Forecasting

Accurate product sales forecasting is critical for inventory management, pricing strategies, and supply chain optimization in the retail industry. This article proposes a novel deep learning architecture that integrates Temporal Convolutional Networks (TCNs) with Transformer-based attention mechanis...

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Bibliographic Details
Main Authors: Rafi MD AL, Gourab Nicholas Rodrigues, Nazmul Hossain Mir MD, Shahriar Mahmud Bhuiyan MD, M. F. Mridha, MD Rashedul Islam, Yutaka Watanobe
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Open Journal of the Computer Society
Subjects:
Sales forecasting
time-series forecasting
temporal convolutional networks
transformers
and deep learning
Online Access:https://ieeexplore.ieee.org/document/10870315/
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