Logistics Trends & News

Splice Insights

Logistics technology, emerging trends, and much more.

Logistics is constantly evolving as new technologies, market dynamics, and operational challenges reshape how goods move around the world. In this section, we cover developments across the logistics landscape—from digital tools and system integrations to shifting industry trends and operational strategies. These articles highlight the innovations and ideas influencing how companies plan, manage, and optimize modern logistics networks.

Clean data needs to be actionable, not trapped in silos

From Normalized to Optimized: Making Your Clean Data Work Harder

Normalization is a process of removing inconsistencies and redundancies so that all your data coming from various sources follows a consistent structure. This matters because in logistics, we're dealing with dozens of carriers, providers, and partners. But normalization is only the foundation for creating value. Moddule and Splice provide a powerful way to ensure that data sharing between logistics service providers, 3PLs, and their shippers starts with clean, normalized inpu

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.

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.

Overcoming the Language Barrier: Building AI-Powered Logistics Workflows That Actually Work

To build truly AI-powered logistics workflows, we need a universal translation engine capable of bridging the gap between rigid legacy data and the chaotic, unstructured reality of the supply chain. Rules-based translators and GenAI agents are the combination to drive tremendous results.

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