What is Holiday-Quarter Forecast?

291 reads · Last updated: December 5, 2024

Holiday quarter forecast

Definition

Holiday season forecasting refers to the process of predicting sales, revenue, or other financial metrics during the holiday season. This period typically includes holidays such as Thanksgiving, Christmas, and New Year, where businesses use historical data and market trends to forecast performance for this quarter.

Origin

The concept of holiday season forecasting originated in the retail industry, as the holiday season is often a peak sales period. Over time, other industries have adopted this forecasting method to better plan resources and strategies.

Categories and Features

Holiday season forecasting can be divided into quantitative and qualitative forecasting. Quantitative forecasting relies on historical data and statistical models, such as time series analysis and regression analysis. Qualitative forecasting relies more on expert judgment and market surveys. The advantage of quantitative forecasting is its objectivity, while qualitative forecasting can capture market changes that data may not reflect.

Case Studies

A typical case is Amazon's sales forecasting during the holiday season. Amazon uses big data analytics and machine learning models to predict sales trends for the holiday season, optimizing inventory management and logistics arrangements. Another example is Walmart, which analyzes past sales data and consumer behavior patterns to forecast holiday season demand and adjust its supply chain strategy.

Common Issues

Investors may encounter issues such as inaccurate data or rapid market changes when applying holiday season forecasting. A common misconception is that forecast results are absolutely accurate, whereas in reality, forecasts are the best estimates based on available information and can be influenced by various factors.

Suggested for You

Refresh
buzzwords icon
Fast-Moving Consumer Goods
Fast-moving consumer goods (FMCGs) are products that sell quickly at relatively low cost. FMCGs have a short shelf life because of high consumer demand (e.g., soft drinks and confections) or because they are perishable (e.g., meat, dairy products, and baked goods).They are bought often, consumed rapidly, priced low, and sold in large quantities. They also have a high turnover on store shelves. The largest FMCG companies by revenue are among the best known, such as Nestle SA. (NSRGY) ($99.32 billion in 2023 earnings) and PepsiCo Inc. (PEP) ($91.47 billion). From the 1980s up to the early 2010s, the FMCG sector was a paradigm of stable and impressive growth; annual revenue was consistently around 9% in the first decade of this century, with returns on invested capital (ROIC) at 22%.

Fast-Moving Consumer Goods

Fast-moving consumer goods (FMCGs) are products that sell quickly at relatively low cost. FMCGs have a short shelf life because of high consumer demand (e.g., soft drinks and confections) or because they are perishable (e.g., meat, dairy products, and baked goods).They are bought often, consumed rapidly, priced low, and sold in large quantities. They also have a high turnover on store shelves. The largest FMCG companies by revenue are among the best known, such as Nestle SA. (NSRGY) ($99.32 billion in 2023 earnings) and PepsiCo Inc. (PEP) ($91.47 billion). From the 1980s up to the early 2010s, the FMCG sector was a paradigm of stable and impressive growth; annual revenue was consistently around 9% in the first decade of this century, with returns on invested capital (ROIC) at 22%.