OpsPulse
Build a demand forecasting regression from CSV

OpsPulse screenshot: Build a demand forecasting regression from CSV

About the app

Demand forecasting tool that fits a regression model to an uploaded CSV or an 80-row sample dataset once you pick the target and predictor variables. It dummy-codes categories, splits train and test data, runs stepwise selection with VIF and AIC, tests residuals for heteroscedasticity, normality and autocorrelation with corrections, then forecasts the test set and reports accuracy. Built with Lovable.

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