Put down the pen and paper and shelve the spreadsheets. Artificial intelligence (AI) and advanced machine learning are the next-generation tools for demand forecasting in distribution. That was the ...

Yesterday’s sales can’t predict tomorrow’s demand. Promotions, price swings, supplier hiccups, even a viral TikTok, can skew ...

The landscape of demand forecasting, data science and machine learning is rapidly evolving, as companies seek innovative approaches to handle the intricate intersection between technology and consumer ...

Launching a new product in today’s market isn’t just risky; it’s like setting sail into uncharted waters during a storm, with no compass and relying solely on your instincts to guide you. Throughout ...

Many industries face growing demand complexity amid macroeconomic uncertainty, and the automotive aftermarket is no different. In our industry, diversity in vehicle make, model and engine ...

For years, supply chain organizations approached demand forecasting by looking backward, with historical sales trends, seasonal cycles and prior purchasing behavior forming the foundation for most ...

Demand planning is key to successful inventory management, and knowing the types of demand is crucial for demand planning. Two primary concepts are core to demand planning: independent demand and ...