Supply chain consulting and automation with Microsoft enterprise solutions
enVista operates across three interconnected service lines: supply chain consulting and systems implementation (WMS, ERP, LEAN), material handling robotics and automation (FANUC, Cognex, conveyor systems), and Microsoft solutions (Dynamics 365 Finance, Power Platform). The tech stack reveals a classical enterprise consulting posture—heavy Microsoft Dynamics 365 adoption alongside industrial automation equipment—while active projects in D365 financial integrations and security operations formalization suggest internal scaling pressure around enterprise compliance and multi-entity deployments.
enVista is a supply chain and enterprise consulting firm founded in 2002 and based in Carmel, Indiana. The firm serves mid-market and enterprise clients across three core service areas: supply chain strategy and technology (including WMS and ERP selection and implementation), material handling automation and robotics (conveyor systems, automated sorting, facility design), and Microsoft solutions delivery (Dynamics 365 Finance, Power Platform, IT managed services). The business model combines advisory consulting, implementation services, and operational support across supply chain, IT, and enterprise technology domains. The company operates with 201–500 employees and is privately held.
Microsoft Dynamics 365 Finance and Supply Chain Management, Power BI, Power Platform, Azure, Databricks, dbt, industrial automation (FANUC, Cognex, Allen-Bradley PLCs), AutoCAD, and Tableau. Stack spans ERP, supply chain systems, data analytics, and manufacturing automation.
Active projects include end-to-end Dynamics 365 Finance implementations, integration of financial systems across multi-entity environments, material handling automation system design, conveyor system engineering, and formalization of security operations practices.
Other companies in the same industry, closest in size
enVista'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.