European supply chain operator across transport, logistics, and e-commerce
Groupe BLONDEL operates a diversified supply chain business across four units (transport, logistics, industry, e-commerce) with a ~3,000-person workforce and a tech stack anchored in SAP ERP, Oracle, and cloud platforms (Azure, AWS, OVH). The hiring mix — skewed heavily toward logistics roles with emerging engineering capacity — reflects active infrastructure modernization: current projects focus on lean implementation, process optimization, and new technical systems deployment, while pain points cluster around vehicle routing, delivery reliability, and operational efficiency.
Groupe BLONDEL is a European supply chain services provider founded in 1956, headquartered in Saint Quentin, France. The company operates across transport, logistics, warehousing, industrial services, and e-commerce fulfillment, serving mid-market and enterprise clients. With 1,001–5,000 employees, the organization runs on legacy ERP infrastructure (SAP, Oracle) alongside BI tools (Power BI, Fabric) and cloud platforms (Azure, AWS, OVH). Current strategic focus centers on process digitalization, lean operations implementation, and system modernization to address chronic pain points in vehicle routing optimization, delivery SLA adherence, and margin preservation.
Core systems: SAP ERP, Oracle, PostgreSQL. BI/analytics: Power BI, Fabric. Development: PHP, Python, C++, Java, JavaScript. Infrastructure: Docker, Azure, AWS, OVH, WMS platforms.
Vehicle routing optimization, delivery delay management, transport profitability margins, operational disruptions, seasonal staffing peaks, and process reliability gaps — driving current lean and system implementation projects.
Groupe BLONDEL's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.