AI in Supply Chain
Unlocking the Future of Logistics

Artificial Intelligence is transforming the global supply chain — but not without help. As logistics companies look to adopt AI-powered solutions, many face a fundamental challenge: their data isn’t ready. That’s where Splice comes in.

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Why AI in Supply Chain Needs Connected Data

By turning fragmented and unstructured information into clean, structured data, Splice enables companies to successfully deploy AI in supply chain operations.

AI has incredible potential to optimize everything from shipment visibility to demand forecasting. But AI is only as smart as the data it receives.

In logistics, that data is often locked inside siloed systems, PDFs, emails, EDI messages, and spreadsheets. The consequence? AI models that underperform or fail to launch at all.

Splice solves this by automating the flow of supply chain and logistics data. Our platform acts as a neutral integrator that powers AI across the supply chain ecosystem.

EDI and API integration is critical to making legacy and current logistics protocols to work together.

The "Hybrid Tax": Why Maintaining Parallel EDI, API and AI Streams is Quietly Killing Innovation

Most logistics providers and shippers are now paying a "Hybrid Tax" because of API and EDI integrations. In 2026, the path forward is "protocol agnosticism," where integration providers like Splice seamlessly marry EDI and API together and apply AI as needed. The goals are to reclaim the time to innovate within your IT and development teams by reducing, if not eliminating, time on integrations and to build a competitive advantage in connectivity.

Compliance is mandatory in supply chain and logistics. Deterministics workflow are better given integration challenges with legacy protocols.

Compliance and Audit in Agent Workflows: What Supply Chain Leaders Need to Know

While the concept of AI "agents" is generating significant buzz, it's critical for logistics professionals to understand the difference between agent-based AI and the more widely adopted workflow automation platforms that dominate today’s enterprise stack. While agent-based AI holds promise, regulated logistics workflows require a cautious, transparent approach. Today’s compliance best practices use workflow automation platforms that support compliance.

The Dual Challenge of Information and Connection Gaps is solved using data translation and interoperability of Splice's integration platform.

Information and Connection Gaps in Global Logistics: Bridging the Divide

In logistics, the "integration problem" is a cocktail of two specific issues. First, the Information Gap: "I don’t know what I need to know." Second is the Connection Gap: "I can’t get the data to where it needs to be." In logistics, these gaps are rarely isolated. They combine to create a black hole that results in demurrage fees, missed sailings, and frustrated customers. Splice offers a suite of compatibility tools, including AI, designed for the fragmented world of freig

LLM Hallucinations in Logistics: Causes and Corrections

LLM hallucinations: We’ll explain what they are, how they impact logistics workflows, and why deterministic automation platforms like ours are still the most reliable approach for real-world operational integrity.

As logistics and supply chain operations explore the promise of agentic AI, cost becomes a critical question: How much does it actually cost to deploy an AI agent at scale? Unlike traditional automation workflows, which are deterministic and often cost-predictable, agentic AI introduces variable costs. It is a different calculation to determine costs.

Cost Modeling for Agentic AI in Logistics: What to Expect When Deploying at Scale

Splice breaks down the core cost drivers of agentic operations, how to model them accurately, and how to evaluate whether an agentic approach is cost-effective for your logistics use case.

Human-in-the-Loop Agent Design for Logistics: AI That Assists, Not Replaces

In logistics, agents shouldn’t replace humans, they should empower them. human-in-the-loop agent design offers the best of both worlds: Speed and intelligence from AI, and safety and oversight from human experts

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How AI in Supply Chain Becomes Reality

The potential of AI in supply chain is vast when the data flows correctly. Without data, there is no AI. Without trusted data feeds, the AI results are meaningless.

Central to trustworthy AI are core principles of interpretability, transparency, and reliability. Splice is an integration and automation platform to enable AI with the principles in mind, and through their enaction, AI in supply chain and logistics can become a strong and consistent tool.

This is Splice's goal. By unifying and automating data flows across disconnected systems, Splice can ensure AI is fueled by reliable, trusted inputs. The result: AI in supply chain and logistics that is not only powerful, but consistently accurate and actionable.

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AI in Supply Chain Unlocking the Future of Logistics