In partnership with Flo, the agency faced an unusual yet complicated task of updating the mobile app predicting women’s menstrual cycles. Flo formula wasn’t accurate, but InData Labs implemented a neural network with customers filling out special forms, and in that way had obtained better results. Accuracy improved by 54% and app installations went up as well.
“As a growing company, we found InData Labs’ expertise in data science invaluable. In almost two years of our cooperation, they’ve helped us define our data analytics strategy, build a scalable data pipeline, and improve menstrual cycle predictions with a sophisticated neural network. – Andrew Kovzel, Head of Data Science, Flo