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Machine learning adoption into supply chain management on the horizon – Pharmaceutical Technology

Let's Talk Supply Chain

leveraging advanced algorithms and predictive analytics, organizations can optimize inventory management, streamline logistics, and mitigate disruptions. With the adoption of machine learning in pharmaceutical logistics, companies can benefit from real-time insights, ‍proactive problem-solving, and better inventory management.

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The Top 5 Key Supply Chain Capabilities

Skill Dynamics

It incorporates disciplines such as procurement, logistics, and inventory management to create a cohesive and competitive supply chain. Capability 1: Demand Forecasting and Planning Accurate demand forecasting allows a business to optimize inventory levels, reduce costs, and improve its overall customer satisfaction.

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How generative AI will revolutionize supply chain 

IBM Supply Chain Blog

In the age of digital transformation, the integration of advanced technologies like generative artificial intelligence brings a new era of innovation and optimization. From demand forecasting to route optimization, inventory management and risk mitigation, the applications of generative AI are limitless.

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The Rise of Women in Supply Chain: Career Choice

SCMDOJO

Embracing diversity as a strategic advantage in the supply chain industry is not only the right thing to do ethically but also a smart business decision that drives innovation, growth, and sustainable success. Why Supply Chain is a Great Career Choice for Women?

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Supply Chain & Logistics News February 16th- 20th – Logistics Viewpoints

Let's Talk Supply Chain

Furthermore, the integration of Artificial Intelligence (AI) and Machine Learning (ML) algorithms is optimizing route planning, inventory management, and predictive analytics. Internet of Things (IoT): iot sensors enable real-time tracking‍ of shipments, ensuring transparency and visibility across the supply chain.