Пошук академічних текстів

Інформація × Реєстраційний номер 2123U006685, Матеріали видань та локальних репозитаріїв Категорія Препринт Назва роботи Sales forecasting for small retail business in a market with anomalous events Автор Kmet Diana-Sofiia Дата публікації 01-01-2023 Постачальник інформації Український католицький університет Першоджерело https://hdl.handle.net/20.500.14570/4809 Видання Опис Financial planning has always been a pressing issue for businesses. In order to stay competitive in today’s fast-paced environment, many companies apply forecasting to estimate their future sales. This study addresses the problem of a small chain of grocery stores in Western Ukraine, which has faced significant challenges due to turbulent events such as the COVID-19 pandemic and ongoing war. This work focuses on predicting sales for the mentioned grocery retailer by employing a range of forecasting techniques, includ- ing SARIMA, Simple Exponential Smoothing, Holt’s linear Exponential Smoothing, XGboost, RNN, and LSTM. The objective is to identify the best-performing model given the challenges posed by a volatile dataset. In addition, this study aims to provide business insights on seasonal patterns in the sales data for all stores within the chain. Furthermore, it explores the impact of the war and the pandemic on sales and identifies other important features that affect sales forecasting performance. Додано в НРАТ 2025-05-09 Закрити