North American 3PL with warehousing, transportation, and supply chain automation
Kenco operates a legacy tech stack anchored in SAP, Salesforce, and proprietary WMS/TMS systems, with active hiring across operations and logistics roles (141 of 160 open positions). The company is adopting AWS Control Tower while running cultural transformation around its internal "Kenco Operating System" — a shift that suggests infrastructure modernization paired with operational standardization. Pain points cluster around inventory accuracy, shipment errors, and cross-functional efficiency, indicating friction between legacy systems and scale demands across a 5,000+ person workforce.
Notable leadership hires: Warehouse Lead
Kenco is a privately held third-party logistics provider headquartered in Chattanooga, Tennessee, operating since 1950. The company serves mid-market and enterprise customers across distribution, transportation, material handling, and automation—with specialization in e-commerce, healthcare, and life sciences supply chains. With 5,001–10,000 employees across the United States, Canada, and the United Kingdom, Kenco's operational footprint spans warehousing networks and integrated logistics solutions. Current focus areas include lean culture adoption, safety program development, and continuous improvement initiatives tied to their internal operating system rollout.
Kenco runs SAP (ERP and WMS), Salesforce, Manhattan WMS, TMS, Workday, and DB2/SQL Server databases. Engineering uses Python, C++, Java, and Groovy. They are adopting AWS Control Tower for cloud infrastructure.
Kenco Group is headquartered in Chattanooga, Tennessee. The company was founded in 1950 and is privately held, with 5,001–10,000 employees.
Kenco Group'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.