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Optimizing data analytics for supply chains: preparing data for modeling
Optimizing data analytics for supply chains: preparing data for modeling

Alexandra Ezhova

Learn how data analytics for supply chain optimization becomes more powerful with well-prepared data. Explore an example of how frameworks simplify data preparation for anyLogistix to enhance modeling and decision-making.

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FMCG inventory management: best practices for strategic sourcing in the supply chain
FMCG inventory management: best practices for strategic sourcing in the supply chain

Elizaveta Tikhomirova

Have you ever wondered why serving a customer from the closest plant isn’t always the most profitable decision? In this blog post, we explore FMCG inventory management and how strategic sourcing in the supply chain helps companies keep products stocked without waste. By linking strategic sourcing best practices with good inventory control, businesses can save money and run more smoothly.

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Supply chain cost optimization: what you need to know
Supply chain cost optimization: what you need to know

Anastasiya Malinovskaya

As increased commodity and energy prices are fueling inflation and the geopolitical shift has caused supply disruptions, supply chain managers must plan for volatility and uncertainty. Integrating cost optimization into supply chain operations helps determine the optimal combination of cost, resilience, and quality that best contributes to business growth. From this blog post, learn what supply chain cost optimization is and how to make it work.

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What is supply chain analytics: starting with the basics
What is supply chain analytics: starting with the basics

Anastasiya Malinovskaya

This article introduces the broad field of supply chain analytics and its main approaches, gives an example workflow for end-to-end supply chain analysis, and compares supply chain tool anyLogistix with traditional Excel-based analysis methods.

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Predictive analytics in supply chain
Predictive analytics in supply chain

Gavin Wilkinson

Predictive analytics is a powerful tool for optimizing supply chains and managing risks. Learn how predictive analytics can help reduce supply chain costs and improve service levels. This blog introduces the broad field of supply chain predictive analytics as well as its connection with simulation and anyLogistix.

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Supply Chain Resilience and Reliability – Countering Uncertainty with Modeling and Analytics
Supply Chain Resilience and Reliability – Countering Uncertainty with Modeling and Analytics

Victoria Lunetskaya

We can already say that 2020 was a difficult year in many spheres of life. In that context, it is no surprise that businesses have begun to think more and more about the importance of supply chain resilience and reliability.
Let us walk through what is needed for supply chain resilience and reliability and show how anyLogistix can help turn theory into reality.

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Epidemic impacts on supply chains—analysis paper
Epidemic impacts on supply chains—analysis paper

Gavin Wilkinson

When almost 25% of the world’s population is ordered to stay at home how can global supply chains mitigate the associated risks? Can anyone, or any company, be prepared for a global pandemic like the COVID-19 Coronavirus outbreak?

In a now eerily prescient exchange last September, Micah Zenko asked a vice president for risk at a Fortune 100 company in Washington, D.C "What are you most worried about?" The reply came without hesitation "A highly contagious virus that begins somewhere in China and spreads rapidly."

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