Supply chains face significant challenges in achieving real-time visibility due to fragmented and inconsistent data spread across various systems and stakeholders. While data generation is immense, its usefulness for accurate forecasting and operational adjustments is hampered by a lack of refinement and standardization. A platform approach is proposed as a solution, aggregating and processing data to provide actionable insights, which is crucial for the effective implementation of AI technologies like LLMs and ML models, as they are only as good as the data they consume. AI
IMPACT Effective AI implementation in supply chains requires a foundational focus on data quality and integration, as AI models are only as good as the data they are trained on.
RANK_REASON The item is an opinion piece discussing challenges and solutions in supply chain visibility and data management, framed by an industry expert.
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