In this episode, we talk to Josh Clement-Sutcliffe, AI and Automation Product Manager at Zencargo. Josh reveals the blueprint for Zencargo’s “Road to 2030,” a mission to create a fully autonomous supply chain. He explains why they pivoted from “happy path” automation to focusing on the difficult reality of unstructured data, turning thousands of daily emails and diverse global documents into actionable, structured intelligence.
What you will learn:
- The Luca Product: How Zencargo built a proprietary “orchestrator” layer to act as the brain of their logistics operations.
- The Ingestion Challenge: Why automating the supply chain starts with “unsexy” document parsing and making sense of archaic third-party communications.
- Auditability by Design: How Zencargo manages the “black box” of AI by building guardrails and human-in-the-loop oversight to catch errors before they scale.
- The 2026 Shift: Moving from “proving the tech works” to operational maturity and true partnership between AI and human operators.
- Mindset over Manual Tasks: How the “AI Freight Forwarder” model is shifting staff from data entry to high-value exception management and relationship building.
- Build vs. Buy in a Volatile Market: Why the complexity of global logistics forced Zencargo to develop internal solutions rather than relying on off-the-shelf software.
Read the article – When AI meets operational chaos, the happy path is off a cliff
