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Life Sciences Supply Chain Inventory Optimization

Logility

Accelerate Decision Making with a Dose of Digital Transformation Over the last 100 years, the human lifespan on Earth has grown significantly, mostly due to progress in the medical field. Lifespan has nearly doubled in a century and is continuing to grow as the life sciences industry advances. The life sciences are integral to the quality of life and lifespan, but the field faces some uniquely difficult inventory challenges.

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How AI is Revolutionizing Inventory Planning and Optimization – InventoryAI

Logility

Everywhere we look, artificial intelligence (AI) is pushing the boundaries of everything businesses and their people do. The opportunity to analyze vast amounts of data and make informed decisions in real time is not only increasing operational efficiency but also creating innovative models that drive higher cost savings and customer satisfaction. Inventory planning and optimization are no different.

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How an AI-First Mindset Is Reinventing Supply Chain Operations

Logility

How an AI-First Mindset Is Reinventing Supply Chain Operations AI has captured widespread fascination, igniting imaginations across various sectors. From generative AI for supply chain to AI-assisted development and copilots, the potential of these advancements has gained significant attention when it comes to revolutionizing work efficiency, streamlining decision-making processes, and elevating business productivity.

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5 Trends Changing Supply Chains for the Better in 2024

Logility

What defines a high-performing supply chain? Depending on who you ask, the answer can be anything from low costs and efficiency to a delicate balance between profitability and customer service. However, this year promises a significant paradigm shift where traditional performance metrics are replaced by technology-driven frameworks, as recent breakthroughs with Generative AI in supply chains have demonstrated.

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3 Demand Forecasting Myths Debunked

Logility

In the rapidly evolving world of supply chain management, relying on outdated notions or oversimplified strategies can lead to significant missteps. That’s why adapting forecasting methods is essential to navigate the diverse and constantly changing demand patterns effectively. In this article, we’ll explore why a dynamic forecasting approach is beneficial and necessary for today’s demand planners to maintain accuracy and efficiency.

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The New Way Forward with AI in Demand Planning

Logility

Even the most seasoned demand planners have struggled against unprecedented challenges in recent years. An increasingly accessible global supply chain, massive increases in the availability of consumer data, and other continued complications have brought rapid change to the process of delivering products to consumers. To meet the changing demands and continue to thrive, organizations need to find a way to align themselves with the permanent changes in the world and acquire the capability to tran

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Baby Formula Deficit: Unfortunate Lessons in Demand Forecasting

Logility

When the United States had a massive infant formula shortage, families were under duress, especially those with babies under one. Anyone who has provided care to an infant knows that baby formula is as much an essential as toilet paper. The need for more resilient supply chains and better demand forecasting was becoming more essential. With the rise of companies looking to implement AI into their supply chains, more accurate forecasts are within reach.