AI and Machine Learning (ML) are revolutionising supply chain management by enhancing efficiency and resilience. These technologies transform supply chains into agile, autonomous systems capable of real-time optimisation and predictive analytics. Businesses can make smarter decisions, anticipate disruptions, and stay competitive. Imagine a supply chain that foresees demand, optimises routes, and streamlines operations effortlessly.
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In this webinar we will discuss:
- Understanding the need for AI/ML in supply chain resilience.
- Discovering AI applications driving continuous optimisation.
- Real-world Use Cases of AI/ML optimizing operations.
Dassault Systèmes has an integrated solution that combines AI-enabled optimisation with ML and Virtual Twin technology. Our extensive industry knowledge, combined with seamless AI and ML integrations provides superior optimisation and results for customers.
For example:
- Metals Supply Chain: Over 50 per cent reduction in order backlog.
- Beverage Supply Chain: $8 million reduction in sourcing costs.
Explore future trends like autonomous planning and AI-driven maintenance. Join us to revolutionize your supply chain with cutting-edge AI technology.
Attendees will learn:
- How AI and ML are transforming supply chain management
- Why AI and ML are essential for modern supply chains
- Real-world examples of AI/ML benefits in supply chains
- DELMIA’s advantage in AI/ML for supply chain management
- Future AI/ML trends supply chain leaders should anticipate
When:
Wednesday, October 16, 2024 · 4:30 p.m. London (GMT +1:00)
Presenter
Adrian Wood - Director, Strategy & Marketing, Dassault Systemes
Adrian has spent nearly 30 years in customer-facing positions ranging from sales and marketing, to fulfilment and account management. His career focus has been on problem solving and development within emerging and rapid growth segments to enable customer success across a wide range of industries from Hi Tech to Retail and Logistics and across multiple disciplines such as Supply Chain, Manufacturing Simulation and Analytics.
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