This contributed story by Dr. Michael Feindt, strategic advisor with Blue Yonder, originally appeared in Forbes on May 20, 2020. Excerpts from the story below. To see the full story Forbes.com.
For artificial intelligence to truly impact retail, companies need to stop perceiving themselves as individual siloes in their supply chains. For true efficiency and long-term sustainability, it’s time to come together and strive for end-to-end optimization.
As retailers begin to adopt AI and machine learning, they’re realizing they can turn suboptimal guesswork into informed, data-driven decision-making off the back of their bespoke data.
However, there’s an addendum to this proposition. If a store is to make optimum decisions regarding stock levels and subsequent ordering trends, then those decisions must be deliverable. In order for them to be not just deliverable but efficient, that retailer’s supply chain must also be making those same data-driven, optimal decisions.
In The News
- Data Cloud Podcast: Building the World’s Largest Supply Chain Data Cloud with Duncan Angove, CEO at Blue Yonder
- Forbes: We’ll Never Fully Trust Artificial Intelligence With Our Businesses — And That’s Okay
- Automotive Industries: Blue Yonder accelerates automotive innovation with strategic flexis acquisition for supply chain transformation
- eCom Logistics Podcast: Modern Logistics Challenges: Strategies from Blue Yonder’s Ann Marie Jonkman at Modex 2024
- Logistics Viewpoints: How Can Your Supply Chain Become Even More Resilient?
Analyst Reports
- IDC ProductScape: Worldwide Warehouse Management Systems, 2024
- IDC’s Worldwide Retail Industry Spending Guide Taxonomy, 2024
- Gartner Critical Capabilities for Transportation Management Systems, 2024
- Gartner Magic Quadrant™ for Transportation Management Systems, 2024
- IDC Market Glance: European Supply Chain Planning, 1Q24
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