Prompt
Develop a predictive analytics model using time-series analysis to forecast inventory requirements for a food & beverage distributor in Singapore. Use historical sales data, seasonal trends, and market conditions to create a model in R or Python that helps minimize stockouts and overstock situations. Present the model's predictions alongside actionable insights for inventory management.