Procter & Gamble is transforming its supply chain with AI, automation and digital tools to boost efficiency, cut costs and ...

Picture a single forecasting mistake triggering a cascade of negative consequences, such as surplus inventory, strained supplier relationships and disappointed customers. In today's world, accurate ...

Discover how Walmart uses AI-powered forecasting and smart rerouting to keep winter storm supplies stocked and logistics ...

Ongoing disruption is forcing a rethink of conventional supply chain planning, from extrapolated supply and demand forecasting to probabilistic planning, to simulations based on real-time visibility ...

I was ready to share (and critique) Acumatica's approach to demand forecasting. Then we got breaking news: CEO Jon Roskill out; John Case in. But I see a way to connect these stories. It's all about ...

Geopolitical instability, climate events, demand fragmentation, and margin pressure are reshaping supply chains at speed. Traditional planning models are reaching their limits. Sequential cycles, ...

While adaptation under uncertainty was the theme for 2025, the year ahead is shaping up to emphasize strategic resilience, ...

Precision has become one of the most valuable strategic assets a company can possess. Whether forecasting demand for the next major book release or balancing production across global supply chains, ...

IPHOFEN, Germany, & DALLAS--(BUSINESS WIRE)--In the highly competitive and dynamic building materials and systems industry, manufacturers need to drive strategic growth and financial performance to ...

Editor’s note: The following article is a joint project of professors in the University of Tennessee Knoxville’s Global Supply Chain Institute. For more on the Institute, click here. Demand planners ...

Description: Demand planning is no longer just about forecasting—it's about navigating uncertainty with intelligence and agility. Traditional methods are too slow, too siloed, and too reactive to meet ...

AI models can process thousands of factors simultaneously, including demand signals across multiple items, macroeconomic ...