Multi-regional logistics distribution demand forecasting method based on big data analysis

Abstract

When the conventional logistics distribution demand forecasting method predicted the multi-region logistics distribution demand, there was a shortcoming of low analysis accuracy. To this end, a multi-region logistics distribution demand forecasting method based on big data analysis was proposed. Big data technology was introduced, a multi-regional logistics distribution demand forecasting framework was built, and the construction of multi-regional logistics distribution model was achieved; Relying on the different needs of logistics distribution between regions, the demand forecasting model was embedded to realize the forecasting and analysis of multi-regional logistics distribution demand. The test data shows that the proposed big data forecasting method is 57.23% higher than the conventional method, which is suitable for the forecast of logistics distribution demand in different regions and regions.