Metrics - group of metrics on Datawiz BI service
There is a list of metrics of the group "Laboratory".
Access to viewing metrics according to the user's role is determined by the administrator. To expand access, contact your administrator.
Please, rate the forecast
the column that is created to get feedback (rating and/or recommendations) from users and improve new reports following the current needs of retailers.
Loss of sales ML
Loss of sales, which arose because the products were not sold for a certain number of days.
Loss of sales Change ML
the difference between loss of sales ML metrics for the selected and previous periods.
Loss of sales Change, % ML
the difference between loss of sales ML metrics for the selected and previous periods, calculated as a percentage.
% Lost Sales ML
the percentage of lost sales ML from total lost sales ML for the selected period.
Loss of sales when stocks are null ML
Loss of sales which arose because the products were not sold as the stocks were null.
Loss of sales when stocks are null Change ML
the difference between loss of sales when stocks are null ML metrics for the selected and previous periods.
Loss of sales when stocks are null Change, % ML
the difference between loss of sales when stocks are null ML metrics for the selected and previous periods, calculated as a percentage.
Increase in sales per day
the difference between the predicted sales at the optimal price and the predicted sales at the current price of all products included in the recommendations for 30 days.
Predicted sales
the total qty of sales that can be predictably received by accepting all the recommendations displayed in the report.
Avg sales on similar stores
the average sales on similar stores for the selected period.
Note! Stores where the algorithm found similar sales for the selected period are called similar.
Predicted sales Change (Day), %
the difference between predicted sales (day) metrics, calculated as a percentage.
Predicted sales (Day)
the sales that can be predictably received per day by accepting all the recommendations displayed in the report.
% of Sales losses ML
the percentage of sales losses ML from the sales for the selected period.
Sales ML
the amount of cash proceeds from the sale of products calculated using the ML algorithm for the selected period.
Loss of sales Qty ML
the probable sales qty that could have been in the selected period in the absence of problems in the store.
Loss of sales Qty ML Change
the difference between loss of sales Qty ML metrics for the selected and previous periods.
Loss of sales Qty ML Change, %
the difference between loss of sales Qty ML metrics for the selected and previous periods, calculated as a percentage.
% Lost Sales Qty ML
the percentage of lost sales qty ML from total lost sales Qty ML for the selected period.
Loss of sales Qty when stocks are null ML
loss of sales which arose because of absence of the stocks.
Loss of sales Qty when stocks are null ML Change
the difference between loss of sales qty when stocks are null ML metrics for the selected and previous periods.
Loss of sales Qty when stocks are null ML Change, %
the difference between loss of sales qty when stocks are null ML metrics for the selected and previous periods, calculated as a percentage.
Predicted sales qty (Day)
the total qty of sales that can be predictably received per day by accepting all the recommendations displayed in the report.
Increase in sales qty per day
the difference between the predicted sales at the optimal price and the predicted sales at the current price of all products included in the recommendations for 30 days.
Predicted sales qty Change (Day), %
the difference between predicted sales qty (day), calculated as a percentage.
Predicted sales qty
the total qty of sales that can be predictably received by accepting all the recommendations displayed on the report.
Avg Sales Qty on similar stores
the average sales qty on similar stores for the selected period.
Note! Stores where the algorithm found similar sales for the selected period are called similar.
% of losses of sales Qty ML
the percentage of losses of sales Qty ML from total sales qty for the selected period.
Sales Qty ML
the qty of natural units of products/categories/brands sold during the selected period, calculated using the ML algorithm.
Loss of profit ML
loss of profit, which arose because the products were not sold for a certain number of days.
Loss of profit Change ML
the difference between loss of profit ML metrics for the selected and previous periods.
Loss of profit Change, % ML
the difference between loss of profit ML metrics for the selected and previous periods, calculated as a percentage.
% Lost Profit ML
the percentage of lost profit share ML from total lost profit ML for the selected period.
% of Profit losses ML
the percentage of profit losses ML from total profit ML for the selected period.
Loss of profit when stocks are null ML
loss of profit which arose because the stocks were null.
Loss of profit when stocks are null ML Change
the difference between loss of profit when stocks are null ML metrics for the selected and previous periods.
Loss of profit when stocks are null ML Change, %
the difference between loss of profit when stocks are null ML metrics for the selected and previous periods, calculated as a percentage.
Increase in profit per day
the difference between the predicted profit at the optimal price and the predicted profit at the current price of all products included in the recommendations for 30 days.
Predicted profit Change (Day), %
the difference between predicted profit (Day) metrics, calculated as a percentage.
Predicted profit (Day)
the profit that can be predictably received per day by accepting all the recommendations displayed on the report.
Predicted profit
the total profit that can be predictably received by accepting all the recommendations displayed in the report.
Avg Profit of on similar stores
the average profit on similar stores for the selected period.
Note! Stores where the algorithm found similar sales for the selected period are called similar.
Profit ML
the difference between the monetary proceeds from the product sales (turns) and the product primecost calculated by the ML algorithm for the selected period.
Optimal price
the price that, according to previous product sales, will bring to store the largest amount of profit of this product.
Optimal price change, %
the difference between optimal price metrics, calculated as a percentage.
Predicted margin, %
the margin that can be predictably received by accepting all the recommendations displayed in the report.
Qty of losing days ML
the qty of days during the selected period when the product was not sold.
Qty of losing days Change ML
the difference between qty of losing days ML metrics.
Qty of losing days Change, % ML
the difference between qty of losing days ML metrics, calculated as a percentage.
Qty of losing days when stocks are null ML
qty of days during the selected period with losses which arose because the stocks were null.
Qty of losing sales when stocks are null Change ML
the difference between qty of losing sales when stocks are null ML metrics for the selected and previous periods.
Qty of losing sales days when stocks are null Change, % ML
the difference between qty of losing sales days when stocks are null ML, for the selected and previous periods, calculated as a percentage.
Qty of products with Loss ML
Qty of products for which lost sales were found using the ML algorithm.
Number of products with recommendations found
The number of products for which the algorithm generated recommended optimal prices for the current period
Number of shops with recommendations found
The number of stores for which the algorithm generated recommended optimal prices for the current period
Date of acceptance of optimal price
The date of acceptance by the user of the optimal price recommendation for the product.
Number of products with accepted recommendations
The number of products for which optimal price recommendations have been accepted for the current period.
Number of stores with accepted recommendations
The number of stores for which optimal price recommendations have been accepted for the current period.
Price at the moment of acceptance of the recommendation
accounting price of the product while acceptance of the recommendation.
Primecost price at the moment of acceptance of the recommendation
primecost of the product while acceptance of the recommendation.