Sales Forcasting Menggunakan Metode Regresi Linear Untuk Menentukan Persediaan Beras di Uci Mart

Abstract

The Uci Mart shop is a shop that sells various types of goods and one of them is rice, for this reason there must be activities to predict the amount of rice stock that must be stored in the shop. Predicting rice stocks is a crucial aspect of stock management. An obstacle that often occurs in this shop is the uncertainty in consumer demand for rice every month, sometimes making retailers reluctant to order goods from distributors, resulting in the distributor's inability to distribute rice according to plan. To overcome this problem, a forecasting method is needed that can help retailers predict future rice sales. By analyzing previous rice sales data, similarities in past and future rice sales patterns can be used to estimate future rice sales. The Simple Linear Regression method is generally used to estimate predictions, with the aim of developing a new formula based on previous rice sales data. This allows the store to measure potential future rice sales and facilitates more effective forecasting of rice sales at the Uci Mart Store.