This case study is about one of Percolata’s customers -- a large pharmacy chain in the US.

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The customer witnessed their existing forecaster’s error rate (transaction forecast) to be 2 to 4 times higher than Percolata’s one. In other words, Percolata forecast is 2 to 4 times more accurate than the existing forecaster.

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Percolata forecaster helps the drugstore company gain a 1.6% revenue increase and $19,410.06 in labor savings per month (2018).