Supply chain transparency has become a critical factor in reducing waste, optimizing resource efficiency, and ensuring compliance with evolving environmental regulations.

One of the biggest challenges in demand forecasting is ensuring that models developed by data scientists align with the needs of the business.

The idea that ESG technology suites can manage all three pillars in one tidy package ignores the diversity of these domains. 

What if you had an assistant who continuously provided recommendations for optimizing your supply chain operations, then immediately implemented them upon your authorization?

Businesses adopting modular, AI-powered OMS systems are better equipped to meet rising consumer expectations and adapt to market shifts.

According to research released by Greenpeace East Asia, global electricity consumption for AI chipmaking grew by 350% between 2023 and 2024.

Chris Demetroulis, managing director of the transportation practice at Gallagher, details some of the biggest risks that supply chains face today, and how the insurance market is responding.

Tariffs, trade wars, and supply chain disruptions have transformed global commerce into something akin to a high-stakes magic performance. 

The complexities inherent in managing the modern factory and its supply chain are proliferating, and there’s a growing need for innovation.

Supply chain forecasting is essential for aligning production schedules with demand, managing cash flow and optimizing inventory levels.