Aggregate sales forecasting means predicting the total sales over product units, locations or time buckets. It could help companies make production plans and marketing decisions more precisely.
Jul 13, 2021 · In this paper, we propose a novel model for aggregate sales forecasting based on the deep learn- ing technique ConvLSTM, which replaces the ...
This section analyses the metrics used to compare the prediction models. The summary of evaluation metrics used in the related work is displayed in Table 3.
A Spatial-Statistics based Framework of Spatial Correlation Analysis of Retail Sales. ... An Aggregate Store Sales Forecasting Framework based on ConvLSTM. ICCDA ...
This systematic literature review examines the deep learning (DL) models for retail sales forecast and describes the benefits and limitations of DL models ...
Retail Stores using Machine Learning ... Aggregate Store Sales Forecasting Framework based on. ConvLSTM,” 2021 The 5th International Conference on Compute.
Demand Forecasting of a Multinational Retail Company using Deep Learning Frameworks · An Aggregate Store Sales Forecasting Framework based on ConvLSTM · A Deep ...
(2021) An aggregate store sales forecasting framework based on ConvLSTM, In 2021 The 5th International Conference on Compute and Data Analysis, 67-72. doi ...
Jan 1, 2021 · We present a meta-learning framework based on newly developed deep convolutional neural networks, which can first learn a feature representation from raw sales ...
Missing: ConvLSTM. | Show results with:ConvLSTM.
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This paper presents a framework capable of accurately forecasting future sales in the retail industry and classifying the product portfolio according to the ...