Drive Greater Supply Chain Resilience by Bringing Data to your Fingertips

As supply chain professionals, we’re working in an environment of perpetual chaos. Inflation continues unabated. Labor shortages are only getting worse. Both consumer confidence and business confidence graphs look like rollercoasters. Disruptions have become a fact of life — and it’s therefore no surprise that a recent Gartner survey of supply chain executions revealed 68% feel they’re constantly responding to high-impact disruptions while 67% said they don’t even have time to recover before the next one hits.

The rise of big data, leading-edge analytics and machine learning algorithms are enabling businesses to finally tap into greater volumes of data and apply more informed, predictive insights to optimize planning and decision-making – with greater scale and speed than ever before. And as technology continues to advance, planning is likely to become even more sophisticated, enabling businesses to navigate the complexities of the global market with greater precision and agility.

Imagine a world where, instead of poring over endless data and scenarios, you can quickly create different plans that tackle even the most complex supply chain questions: What would happen if you add a new production line? Or expanded your supplier network? How might that affect your fill rate, or profitability?

In this webinar, we’ll dive into real-world examples of how manufacturers are leveraging real-world data, a unified data cloud, and industry-leading AI & ML to reimagine the way they manage their supply chains.

Sponsored by:

Moderator: Brian Straight, Editor in Chief, Supply Chain Management Review
Panelists: Greg Sloyer, Manufacturing Industry Principal, Snowflake
Angela Troccoli, Sr. Director of Product Marketing, Blue Yonder
Shri Hariharan, Head of Americas & EMEA Manufacturing Industry Solutions, Blue Yonder
Description: In this webinar, we’ll dive into real-world examples of how manufacturers are leveraging real-world data, a unified data cloud, and industry-leading AI & ML to reimagine the way they manage their supply chains.
Recording Date: November 9, 2023 at 7:00 EST

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