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
- SiliconANGLE: The Road to Intelligent Data Apps With Blue Yonder’s Chief Product Officer, Gurdip Singh
- FreightWaves Running On Ice: Prioritizing The Vaccine Supply Chain
- Sourcing Journal: Blue Yonder’s Sónia Peres On AI/ML’s Role in Fashion, Retail
- diginomica: Blue Yonder CEO Duncan Angove is on a mission to eradicate siloed supply chain thinking in the enterprise
- Supply Chain Digital: Why Technology is the Key to Transparency and Traceability
Analyst Reports
- IDC Market Analysis Perspective: Worldwide Warehouse Management Systems, 2024
- Gartner Maximize the Value of AI in Supply Chains With “Whole Product” Use Cases
- IDC MarketScape: Worldwide Professional Services Providers for Retailers 2024 Vendor Assessment
- IDC Market Analysis Perspective: Worldwide Transportation and Logistics, 2024
- IDC Market Glance: Retail Last Mile, 3Q24
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