Supply Chain Data Mistakes to Avoid
· Source: inboundlogistics.com
In short
This article examines how poor data quality can severely disrupt supply chain operations, leading to backorders, inventory misallocation, compliance failures, and significant financial losses. It highlights GE Appliances' success with a supplier collaboration agent powered by Google Gemini Enterprise, which reduced backorders by over 25%. The piece also provides 14 common supply chain data mistakes to avoid, drawing on expert insights from consultants and industry leaders, emphasizing the importance of AI-ready, connected, and well-governed data.
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In the issue of week 31, 2026: AI Drives Dock-to-Data Gains and Agentic Recovery in Supply Chains
Tags: big data, data quality, logistics, supply chain, AI, data governance