Tradlinx, a global supply chain data platform, has published a new industry report titled “The Future of the SCM Industry: Shifting to an AI-Native ‘Reliable Partner’.” The report analyzes how persistent uncertainty is driving supply chain teams to move beyond traditional visibility solutions toward AI systems capable of delivering reliable, executable decisions.
Supply chain organizations continue to face volatility, fragmentation, and increasing complexity, making pure visibility insufficient for effective risk management and decision-making. The report argues that the next phase requires AI systems that not only provide insights but act as trusted, explainable partners capable of recommending and supporting executable outcomes. It identifies common barriers to AI adoption, including lack of trust in black-box models, poor data integration across the chain, and difficulty translating analytics into operational action.
The publication emphasizes explainable AI (XAI) as essential for building confidence, enabling faster decision cycles, and ensuring accountability in high-stakes environments. It also addresses the “AI Paradox”—where organizations invest heavily in AI pilots yet struggle to scale impact due to missing reliability, governance, and cross-functional alignment.
The report serves as a strategic guide for supply chain executives seeking to evolve their technology stack and operating models in preparation for an AI-native future.
About Tradlinx
Tradlinx is a supply chain data platform providing logistics and supply chain teams with reliable real-time data to simplify execution, reduce silos, and enable smarter decisions.
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