Review Article
Sales Forecasting for Fashion Retailing Service Industry: A Review
Table 1
The summary of AI methods-based fashion retail sales forecasting.
| Method | Paper | Area | Findings |
| ANN | [3] | Sufficient data | ANN model outperforms the two statistical based models. |
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Fuzzy | [15] | Short term Sufficient data | Multivariate fuzzy analysis is better compared to that of univariate analysis for short term forecasting. | [28] | Color | Fuzzy colour prediction system is better than the traditional approach, but it only applies to single-colour prediction case. |
| ENN | [19] | Low demand uncertainty and weak seasonal trends Short term | Performance of ENN is better than the traditional SARIMA model for products with features of low demand uncertainty and weak seasonal trends. |
| ELM | [31] | Color, size, and price as significant factors | ELM outperforms several sales forecasting methods which are based on backpropagation neural networks. |
| EELM | [32] | Fast forecasting | EELM is versatile in which it can be used for short, medium to long-term predictions with both time series and non-time series data. |
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