Intro to A.I. In Supply Chain

Starter's Guide for Artificial Intelligence and Supply Chain

Best practices for successful application of AI in supply chain management

While there’s been much hype with respect to the potential of AI in supply chain management, so far, we have few real-life examples where AI has really, fundamentally changed the way businesses plan, source, make, and deliver. 

Still, the need for innovation and insights has never been stronger, with supply chain management becoming more and more complex. At the same time, technology continues to improve, assuring that technical gaps will continue to close.

As a result, we’re optimistic that AI is closer to breaking out than history might suggest. To prepare your organization for an effective introduction to AI, and it’s successful adoption, here are five important considerations:

  1. A Real Problem : that is, worth solving, and solvable. Not a technology looking for a solution.
  2. Expertise : Real data competence (or at least knowing how to ask for help) is part of the success formula.
  3. Good data : Clean, real-time, reliable data is essential.
  4. Scope: Real world problems are discrete — scope expansion has to be controlled.
  5. Execution : Intelligence initiates, but solid execution and measures are essential to grow impact.

To see how these considerations can be turned into best practices, download the white paper to learn more.

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See the Clear Difference Supply Chain Service Management Makes in Your Day

Supply chain managers know all too well the story of endless work and chaos. Take a walk on the simpler side of supply chain management, through this guide that illustrates the dramatic differences SCSM makes in a day in the life of a supply chain manager. You’ll receive a clear description of what SCSM is, how it works, and a clear description of improvements you can count on. Customer testimonials further prove out SCSM’s power, by sharing the positive changes it brought to their supply chain processes, company culture, and job in general.

Make it easy for teams to capture and link incidents to impacted parts of your supply chain.

Centralize incidents to facilitate weekly review.

Collaborate across teams and partners to quickly resolve.

Analyze root cause to prevent future problems.