Insights on supply chain intelligence, freight automation, and ESG from the TetriXX AI team.
September 14, 2026 · Emilie Annweiler · 6 min read
Freight costs move in the spot market today. Your invoice arrives weeks later. Here is how the M1, M2, and M3 invoice lag model explains the gap, and why it matters for your budget.
July 27, 2026 · Gabriel Bouf · 8 min read
Accidental complexity is the second code path an AI agent builds when it does not know the system yet. Fred Brooks named the difference in 1986, and freight invoicing pays for it.
June 26, 2026 · Matthieu Mayaud · 5 min read
AI tokens behave like freight: they cost money to move and there is only so much room. Optimizing an AI system turns out to be the same discipline as optimizing a supply chain.
December 17, 2025 · Aden Elmi · 4 min read
MCP server infrastructure for supply chain AI agents: why a single monolithic agent fails on logistics data, how Agent Forge wires specialized agents to MCP servers, and three lessons from building it.
December 15, 2025 · Daan Geerts · 3 min read
AI for logistics data turns fragmented freight rates, surcharges and invoices into a harmonized foundation for cost control, supplier benchmarking and proactive risk management.
August 4, 2025 · Gabriel Degoix · 5 min read
AI agents let supply chain teams ask their data questions in plain English instead of building manual reports: what an agent is, an RFP generated end to end, and the data quality it needs.
July 30, 2025 · Queena Chen · 4 min read
A product marketing internship at TetriXX AI in Singapore: onboarding on 300 internal documents, the Paris product launch, a full website redesign, and the first external newsletter.
April 4, 2025 · Emilie Annweiler · 4 min read
Legacy ERP systems promise integration but often block it. On data silos, the rigidity-versus-agility paradox, and pairing ERP with specialised AI agents.
