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Logistics AI insights

Why automatically importing PDF transport orders into your TMS fails
May 15, 2026

Why automatically importing PDF transport orders into your TMS fails

Are you trying to automate PDF transport order imports in your TMS, but things keep going wrong? Discover why standard solutions fail and what is actually required to achieve true automation in order entry.

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Why AI Projects in Logistics Fail Before They Even Begin
May 8, 2026

Why AI Projects in Logistics Fail Before They Even Begin

AI projects in logistics often fail before they even begin. Not because of the technology, but because of missing context, unclear processes, and a lack of structure needed to make automation work at scale.

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The new standard for EDI starts here
May 1, 2026

The new standard for EDI starts here

For many companies, EDI still feels like a slow and complex process. With Chainfill, that changes fundamentally. Integrations take shape automatically, communication becomes part of the solution, and teams regain control.

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AI as a Colleague, Not a Tool
April 17, 2026

AI as a Colleague, Not a Tool

AI is shifting from a tool to a digital colleague. Instead of supporting isolated tasks, it is becoming an integrated part of workflows, taking over repetitive work and enabling teams to focus on what truly matters.

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AI in Logistics: From Smart Tool to Autonomous Operator
April 10, 2026

AI in Logistics: From Smart Tool to Autonomous Operator

AI in logistics is shifting from prediction to execution. As systems begin to make and act on decisions in real time, the real transformation lies in moving from isolated tools to AI-driven operating models.

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Context Engineering: Why Good AI Doesn’t Start with the Model, but with the Context
March 24, 2026

Context Engineering: Why Good AI Doesn’t Start with the Model, but with the Context

Good AI is not defined by the model alone, but by the context it operates in. Context engineering determines how information, rules, and data come together, making the difference between a simple demo and a scalable, reliable system.

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