With an aim to identify how Nintendo can use demand forecasts to optimize production schedules and minimize risks of overproduction and stockouts, this research examines sales data and market trends from 1998 to 2024. As a leading game developer and console manufacturer, Nintendo has faced challenges in managing production and maintaining supply chain efficiency, particularly during periods of fluctuating consumer demand and market volatility, such as the COVID-19 pandemic. This study employs a quantitative time-series analysis using unit sales data from 1998 to 2024. A study by Felix Richter (2024) was used to investigate hardware sales trends and their implications for production strategies. Additionally, findings from Shankar et al. (2003) were utilized to assess the impact of network effects on console sales and market competition. The findings indicate that while Nintendo’s sales conform to expected product lifecycle trends, the sustained success of the Nintendo Switch reflects changing consumer preferences and evolving market dynamics. As a result, Nintendo combines current market data with traditional forecasting methods, proving essential for aligning production with real demand and improving supply chain management precision. Future research should investigate how digital platforms like eShop and subscription models could further enhance Nintendo’s ability to synchronize production with demand forecasts.
Analyzing Nintendo’s Demand Forecasting to Optimize Production and Minimize Market Risk
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Student Abstract Submission