Microsoft Reinvents its Supply Chain by Leveraging SAP Ariba & Intrigo Systems

Microsoft Corp. has one of the most complex supply chains in the world.

And to keep it humming and ensure supply keeps up with demand for its hottest products, the company is reinventing its supply chain.

In a newly released Webcast (watch the video above), the company discusses how it is teaming with SAP Ariba and Intrigo Systems to create a scalable, modern platform to support the efficient, cost-effective manufacturing of its most popular products, including the Xbox and Surface.

“At Microsoft, our mission is to empower every person and organization on the planet to achieve more. And our strategy to achieve this is to build best-in-class systems and platforms and productivity systems,” said Ali Khaki, Principal PM, Supply Chain Engineering, Microsoft.

“When we looked at our supply chain, it was clear we needed to build a flexible, scalable platform that could support the complexity of our hardware business.”

And it is using SAP Ariba solutions for direct spend to do it.

“The Ariba® Network is the backbone for Xbox and Surface line of products supply chain,” Khaki said.

Through the Ariba Network and the cloud-based applications delivered on it – including SAP Ariba Supply Chain Collaboration™, Microsoft has created a modern platform from which it can safely and easily collaborate with multiple tiers of contract manufacturers and suppliers across key supply chain planning and execution processes, including:

  1. Sharing production forecasts, orders, quality, and inventory information.
  2. Anticipating and resolving supply assurance problems.
  3. Onboarding suppliers.

Read more at Microsoft Reinvents its Supply Chain by Leveraging SAP Ariba & Intrigo Systems

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The Analytics Supply Chain

Businesses across many industries spend millions of dollars employing advanced analytics to manage and improve their supply chains. Organizations look to analytics to help with sourcing raw materials more efficiently, improving manufacturing productivity, optimizing inventory, minimizing distribution cost, and other related objectives.

But the results can be less than satisfactory. It often takes too long to source the data, build the models, and deliver the analytics-based solutions to the multitude of decision makers in an organization. Sometimes key steps in the process are omitted completely. In other words, the solution for improving the supply chain, i.e. advanced analytics, suffers from the same problems that it aims to solve. Therefore, reducing inefficiencies in the analytics supply chain should be a critical component of any analytics initiative in order to generate better outcomes. Because one of us (Zahir) spent twenty years optimizing supply chains with analytics at transportation companies, the concept was a naturally appealing one for us to take a closer look at.

More broadly speaking, the concept of the analytics supply chain is applicable outside of its namesake business domain. It is agnostic to business and analytic domains. Advanced analytics for marketing offers, credit decisions, pricing decisions, or a multitude of other areas could benefit from the analytics supply chain metaphor.

Read more at The Analytics Supply Chain

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