Randi W. Stebbins is a seasoned writer, editor, coach, and facilitator with over 15 years of experience crafting clear, compelling communication for startups, nonprofits, higher education, and international initiatives.
Struggling to balance service levels and inventory costs? This guide to demand forecasting breaks down how smarter, data-driven forecasts help businesses reduce waste, plan proactively, and stay agile in a fast-changing supply chain landscape. Learn how AI improves forecast accuracy, how to avoid common pitfalls, and what tools make the biggest impact.
Discover how effective demand planning helps your business balance supply with customer needs, reduce waste, and improve forecasting accuracy. This guide breaks down core strategies, best practices, and real-world tools to help you plan smarter and scale confidently.
Discover the demand forecasting best practices that help inventory teams reduce waste, improve accuracy, and avoid costly stockouts. Learn proven methods, key formulas, and actionable tips to optimise your forecasting process.
Whether you’re new to logistics or a veteran, safety stock is an important concept that many people can be confused about. As a simple explanation, safety stock is an extra amount of stock that is maintained to mitigrate a risk of stockout. That is all well and good, but how is safety stock calculated in order to prevent a stockout? The answer to that is affected by a number of different variables: How predictable is the product in sales? How well is the forecast model fitted? What is the lead time? What is the forecast for the item? What is the confidence level and set service level? That may see like a lot, but all of these factors will affect an item’s safety stock.
AGR’s forecasting and AI experts, Fanndís Kristinsdóttir and Ástrós Eir Kristinsdóttir, break down how AI can improve demand forecasting for any sized business and create a better plan for the future.
