Stay Ahead of Supply Chain Trends with ICRON

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

ICRON has officially completed the SOC 2 Type II audit — reaffirming our deep-rooted commitment to data security, operational excellence, and client trust.

Aksa Akrilik, the world’s largest acrylic fiber producer, partnered with ICRON to tackle production planning complexities, reduce delivery lead time, and enhance reporting. Since the beginning of this partnership, Aksa Akrilik has improved service quality in order management by 30%. By adopting AI-powered decision intelligence, Aksa Akrilik was able to streamline production, accelerate response time, and enhance collaboration across previously siloed planning teams.

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.

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.

Multi-Echelon Inventory Optimization is a strategy for optimizing inventory management within global supply chains. Multi-Echelon Inventory Planning (MEIP) and Multi-Echelon Inventory Optimization (MEIO) are two sides of the same coin. MEIP defines how inventory should be structured and coordinated across supply chain stages, while MEIO uses analytics and AI to optimize those levels for cost, service, and agility. Together, they create the foundation for smarter, more connected inventory management.

Machine learning (ML) and artificial intelligence (AI) are transforming supply chain forecasting from an art to a science

Demand forecasting improves supply chain efficiency by anticipating market fluctuations or changing customer expectations – allowing you to respond on time.

Network design in supply chain planning helps you create a blueprint for how products will most efficiently flow from suppliers to customers. Properly implemented, it will have a significant positive impact on your company’s supply chain, costs, and customer satisfaction.

VESTEL, a prominent global conglomerate, had been working with ICRON since 1999. Since then, ICRON has worked with VESTEL on numerous optimization projects. This project was focused on the electronics division. As their operations expanded, VESTEL needed to move to an integrated planning platform with sharper planning capabilities.