About this document
Pharmaceutical Sales Data Prediction - Ankita Et Al - 2024 by Hypermallose Gaming is a document available to read on EtoBox.
The paper discusses methodologies for predicting pharmaceutical sales using time series forecasting, emphasizing the importance of data-driven decision-making in the industry. It explores various forecasting models, including ARIMA and LSTM, and introduces a forecasting dashboard for visualizing drug sales trends. The research aims to enhance inventory management and resource allocation by accurately predicting future sales based on historical data.
- Author
- Hypermallose Gaming
- Language
- EN