I need a compact, easy-to-use application that takes our historical sales data for multiple molecules and converts it into reliable demand forecasts over weekly, monthly, and quarterly horizons. Accuracy and transparency are essential because the results will drive production planning and purchasing decisions across several plants. Core scope • Ingest CSV or Excel files of historical sales pulled from our ERP. • Clean, normalize, and visualize the data so outliers or seasonality jumps are obvious. • Apply proven time-series or machine-learning techniques (ARIMA, Prophet, LSTM—whichever best fits the data volume and variability) to generate baseline forecasts and confidence intervals. • Allow me to tweak parameters—e.g., switch models, adjust seasona...
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How user testing can make your product great
Get your product into the hands of test users and you'll walk away with valuable insights that could make the difference between success and failure.