Data-driven research on the US trucking industry, built from large public and marketplace datasets such as FMCSA inspection, crash and insurance records and listings of motor carrier authorities. Each issue poses a specific question and reports quantified findings along with their limits.

Practitioner-written articles on applying AI, LLMs and Python analytics to warehouse and supply chain operations. Each issue walks through a method or use case from real projects, with KPIs, levers and where the approach stops working.

An open-source lab newsletter describing agentic AI tools for supply chain operations, with each issue covering a specific system or argument. Readers get design rationale, architecture detail and practical workflows for commodities planning, document checking and AI-driven coordination.

Lubembo Intel publishes analysis of African agricultural trade, drawing on first-hand export experience and commodity data. Issues cover logistics and tariff barriers, value-added byproducts, and monthly commodity profiles.