Demand Forecasting for Improving Operational Efficiency in Philippine Department Stores During Holiday Shopping Season: A Theoretical Paper
Year: 2026
Type: article
Abstract: Demand forecasting represents a significant contribution in improving operational efficiency in retail, in times of customer high demand.In the Philippines, Christmas begins in early September, creating opportunities aiming higher sales but also unveiling challenges such as employee shortages, customer waiting time, excess inventory, and stockouts.This theoretical paper examines the role of demand forecasting in retail operations; the attribute of holiday shopping demand and its connection with inventory management, replenishment, staffing, and supply chain.Furthermore, it discusses ways for improving forecasting precision through previous data, technology, promotional proceedings, and data analytics.In addition, the paper stresses the significance of selecting appropriate forecasting methods based on data quality, business requirement, and demand patterns.By incorporating these methods and dependable forecasts with managerial judgement and operational planning.Department stores in the Philippines can allot resources effectively, control expenses, sustain product availability, and enhance customer service to cater to customers during the Christmas holiday shopping season.
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W7225266821