This document discusses retail sales forecasting concepts and issues. Retail sales forecasting involves analyzing historic outlet data to predict future sales trends. The purpose is to accurately forecast product demand to inform purchasing, production, logistics, finance, and marketing. A sales forecast typically estimates volume for a specific time period like weeks, seasons, or years. Creating an accurate forecast requires considering consumer tastes, market size, spending patterns, economic conditions, sales potential, and competitors' strategies. Key issues that impact forecasts are sales trends, seasonality, weather, and calendar effects of holidays.