Technical Analysis of Shipments in an Automotive Company to Forecast Sales Volumes

Abstract

This research presents an analysis of the shipments forecast of automotive sensors in three regions where such products are sold and shipped of 15,000 unique products and more than 100 million of units shipped last year. The Sensors company is one of the world’s leading suppliers of sensing solutions for automotive brands with operations and business centers in 11 countries so it’s very important to have a forecasting analysis based on time series as historical data is basement and estimating for 18 + months decisions. Models used in this paper are Holt-Winters, Cross Correlation and Simulation. Basically, as output of the Holt-Winters model, results show a constantly increasing forecast for the coming years when done a seasonable additive algorithm. With this model output, a prediction is performed having the forecasting till 2028 showing a stable increased of the quantity of auto sensors that are manufactured delivering to all the regions where the automotive sensors are shipped to.