Drug retail industry drug sales prediction system and method

Abstract

The invention discloses a drug retail industry drug sales prediction system, and belongs to the technical field of big data and artificial intelligence. The system comprises a data acquisition and preprocessing unit, a historical data analysis unit and a prediction unit, and further provides a drug sales prediction method in the drug retail industry, and the method comprises the steps of data acquisition and preprocessing; Historical data analysis and data normalization processing; Data prediction: respectively establishing a cubic exponential smoothing prediction model, a grey prediction model and an LSTM prediction model, and combining the cubic exponential smoothing prediction model, the grey prediction model and the LSTM prediction model to form a BP neural network combination prediction model; Finally, a combined prediction result based on the BP neural network is obtained, so that a prediction model is rapidly and accurately established according to historical sales data, sales data of the pharmacy drugs in a future period of time is predicted, and then data support is provided for warehouse drug storage so as to achieve the purpose of meeting drug supply and demand balance.

Description

technical field [0001] The invention belongs to the technical field of big data and artificial intelligence, and specifically relates to a drug sales prediction system and method in the drug retail industry. Background technique [0002] In order to ensure the normal operation of the drug supply system, operating costs such as inventory can be reduced as much as possible, and continuous and uninterrupted drug supply can also be ensured. To achieve the above two goals, the demand for each drug must be accurately forecasted. If the forecast is much higher than the actual demand, it will inevitably lead to high inventory levels, which will increase operating costs such as inventory; on the contrary, if the forecast quantity is too low, it may lead to frequent stock-outs. [0003] Sales forecasting is the use of sales forecasting models based on past sales to obtain forecasts for future sales. At present, most sales forecasts are based on time series analysis. Time series anal...

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Problems solved by technology

This model is only applicable to the situation where the hospital has patient visit records, and it is not applicable to

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