Logística Simples

AI and Innovation Radar

· Logística Simples

Logistics agents: evaluated skills, controlled access and people accountable for decisions.

Selected publications from 21–28 September 2026. Applications below are educational proposals from Logística Simples, not capabilities already implemented on this website. Vendor announcements do not demonstrate universal outcomes.

1. DHL: agentic AI among major logistics trends

Logistics Trend Radar 8.0 places agentic AI among its ten highest-potential-impact trends and highlights human oversight.

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2. AWS: evaluate skill selection and execution

AWS presented a method to assess skill selection separately from how well an agent follows the skill’s instructions.

Read official source ↗

3. HEMA: knowledge access governed by identity

The HEMA case describes a read-only MCP assistant using Microsoft Entra ID authentication without AWS credentials on client devices.

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This week’s experiment: test agent governance

  1. Register five skills: freight, cold chain, CIOT, incidents and inventory, each with sources, a version and permissions.
  2. Run 30 fictional cases with expert-reviewed expected answers. Validate current regulations before defining regulatory answers.
  3. Record the selected skill, sources, calculations and result. Require human approval for external actions in this pilot.

Proposed pilot targets: at least 90% correct skill selection; evidence for every recommendation; no unauthorized external actions. These are test criteria, not achieved results.

Weekly reading: DHL Logistics Trend Radar 8.0

Free official announcement in English. An introduction to AI, people, resilience and governance.

Read official source ↗
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