Brazilian express logistics network with 500+ franchise units and in-house air fleet
Jadlog operates one of Brazil's largest express parcel and fractional cargo networks, built on a franchise model spanning 500+ locations across the country. The tech stack reveals a logistics-operations foundation (Excel, Salesforce, Power BI, Python) with recent AI adoption (ChatGPT, Claude, Gemini, GitHub Copilot), suggesting data-driven optimization of routes, pricing, and delivery timelines — core pain points appearing in their active project list. Hiring is logistics-heavy, reflecting operational scale rather than engineering expansion.
Jadlog is a privately held logistics and express transport company founded in 2006, operating one of Brazil's largest networks of door-to-door parcel delivery infrastructure. The business model centers on a franchise network of over 500 units deployed across Brazilian capitals, federal territory, and major cities, covering all municipalities nationwide. The company operates its own air fleet alongside commercial and cargo aviation partnerships, plus a terrestrial fleet of 200+ trucks and 3,000 utility vehicles. Core services address pricing competitiveness, route optimization, delivery monitoring, and client portfolio management across a mid-sized, operations-focused organization.
Jadlog's core stack includes Salesforce (CRM), Power BI (analytics), Excel (operations), Python and SQL (data processing), and recently adopted AI tools: ChatGPT, Claude, and Gemini for automation and optimization tasks.
Jadlog is headquartered in São Paulo, Brazil, with 1,001–5,000 employees across its franchise network and operational divisions.
Active projects include continuous improvement via Kaizen and lean methodologies, pricing competitiveness optimization, HR analytics dashboards in Power BI, data processing automation, and delivery timeline monitoring systems.
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