When ‘Good Enough’ Data Isn’t: Why AI is Failing the Supply Chain
· Source: supplychainbrain.com
In short
The article discusses how AI implementations in supply chains often fail due to poor data quality, despite significant investments. It highlights the challenges of inconsistent, outdated, or fragmented data, which misleads AI systems and leads to flawed decisions. The piece emphasizes the need for companies to prioritize data accuracy and quality control before deploying AI tools.
Read Original Article — Read the full article on the publisher’s site.
In the issue of week 33, 2025: AI-Powered Platforms and Geopolitics Drive 2025 Supply Chain Revolution
Tags: data, AI, logistics, forecasting, automation, quality