AI in Supply Chains: Why Trusted Data Is the Competitive Advantage

Artificial intelligence has become the defining technology conversation of the decade. Every organization is exploring how AI can improve productivity, automate processes, and unlock new business value. Yet for supply chain leaders, the opportunity extends far beyond automation. AI has the potential to fundamentally change how organizations anticipate disruption, make decisions, and orchestrate outcomes across increasingly complex global supply networks. However, there is a critical reality that many organizations are discovering: AI is only as powerful as the data behind it.

Without access to accurate, connected, and governed data, even the most advanced AI models produce incomplete insights and unreliable recommendations. For AI to deliver measurable business value, organizations must first solve one of the biggest challenges in supply chain management: bringing together fragmented data into a trusted, unified foundation. This is where InterSystems delivers a unique advantage.

Modern supply chains generate enormous volumes of data every second. ERP systems manage orders and financials. Warehouse management systems track inventory. Transportation systems monitor shipments. Manufacturing execution systems oversee production. Supplier portals, IoT devices, clinical systems, weather feeds, and third-party logistics providers all contribute valuable information.

This story was originally published by Logistics Viewpoints. Read the full story at Logistics Viewpoints →