Forecasting retail store sales with deep learning using entity embeddings

Problem

Data

Table 1. Features description
Table 2. Sales data description

Our Model

Figure 2. Model architecture using entity embeddings.

Results

Table 3. Comparison between RMSE errors from different models obtained using 5 fold cross-validation.
Figure 3. Real and forecasted weekly sales in number. Data for all the stores are shown.

How can LotusLabs help you?

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