Demand Forecasting Techniques

Building a demand forecast from historical sales data sounds like a data science project. It's not. It's mostly just cleaning up your own mess. Here's what I mean. When you pull 12 months of sales history to start a forecast model, the first thing you'll find is that three of those months are lying to you. A stockout in February made it look like demand dropped. A promotional push in Q3 inflated one SKU by 40%. A receiving error in October logged 200 units that never actual

Hey Warehouse And Operations Folk! For decades, demand planning relied heavily on experience, intuition, and "gut feel." While seasoned planners developed incredible instincts, this approach had limits — human bias, inconsistent accuracy, and difficulty scaling across complex product lines. Today, AI is transforming demand planning from art to science, giving operations teams unprecedented accuracy and confidence. What is AI-Powered Demand Planning? 🎯 AI demand plannin

Hey Warehouse and Operations Folk! Demand forecasting can feel like reading tea leaves, but the right method makes all the difference between smooth operations and constant firefighting. Here's your practical guide to 5 proven forecasting methods that actually work in the real world. 🎯 Method 1: Moving Average Features: • Takes average of recent sales periods (3, 6, or 12 months) • Smooths out short-term fluctuations • Simple calculation anyone can do Limits: • Slow to react