Stay Ahead of Supply Chain Trends with ICRON

From natural disasters to geopolitical tensions, from supplier bankruptcies to cybersecurity threats, companies experience significant supply chain disruptions that last a month or longer every 3.7 years on average. Each of those disruptions bears a potentially significant financial cost – and is where supply chain risk management (SCRM) becomes essential.

The Sales and Operations Planning (S&OP) professional of yesterday – proficient in spreadsheets and production scheduling – has given way to a new archetype: a strategic business partner who connects supply chain operations with enterprise strategy.

Optimization is not the only algorithmic tool that supply chain companies need to solve their planning and decision-making problems. Discover the full toolbox...

A supply chain network is a strategic lever that determines the agility with which the supply chain can respond to market changes, expand to new markets, and balance cost and service trade-offs. Every significant decision – where to source, where to produce, and how to organize the product flow – can be traced back to the structural choices behind it.

Walk into the boardroom of any global manufacturer today, and one thing is certain. Executives are not just talking about growth, expansion, or innovation. They’re talking about efficiency, cost control, and speed of decisions as a part of their core supply chain strategy.

Midmarket enterprises today face growing supply chain complexity, rising volatility, and unrelenting pressure to do more with less. Choosing the right supply chain planning solution is now essential to achieving agility, foresight, and optimization intelligence that ERP systems alone cannot provide.

In today’s hypercompetitive and highly complex business environment, companies are constantly searching for ways to gain competitive advantage by improving the speed, efficiency, and quality of the goods and services they deliver to customers through their supply chains. The key to unlocking ...

Artificial intelligence has long influenced how supply chains plan and perform. In recent years, the spotlight has shifted from generative models that forecast outcomes to agentic, which can detect disruptions and act responsibly within defined limits.

This article explains why beer producers, with their dependence on fermentation cycles, tank behaviors, freshness rules, and flow-sensitive operations, increasingly rely on flow-based production scheduling. It shows how real-time visibility, digital twins, and scenario analysis replace firefighting with data-driven, system-wide decision making. The article concludes that for breweries, advanced flow scheduling and AI-supported decision intelligence are becoming essential capabilities for ensuring efficiency, resilience, and consistent product freshness.