Here you have 4 main indicators related to AI Training & Forecasting
And detailed records for historical & forecasted sales

  • Average accuracy - A simple measure of forecast accuracy is the mean or average of the forecast error, also known as Mean Forecast Error. In this example, calculate the average of all the forecast errors to get the Mean Forecast Error: The MFE for this forecasting method is 0.2.

  • Training Scale - Displays training session timings
    Configured in algorithms settings - "AI algorithms" tab

  • Forecasting Scale - Displays forecasting session timings

    Configured in algorithms settings - "AI algorithms" tab

  • Training Type - Displays training mode, options are "Product" or
    "Product + Customer". Configured in algorithms settings - "AI algorithms" tab

1. Historical & Forecasted sales

Here is displayed all historical and forecasted sales & profit for the next 6 months

You can click on a "profit", "revenue" or "count" legends right under the chart to exclude it from the chart

2. Actuals

This graph displays the actual total sales of your store, operating cost (ongoing expenses incurred from the normal day-to-day of running a business, including costs of goods sold (COGS) and other operating expenses(SG&A)), gross profit and count of products.

3. Forecasted Sales

This chart indicates forecasted sales values for the next 6 months based on your historical sales

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