DMSi builds ERP and business management software for the lumber and building materials sector, serving North America and Australia-New Zealand. The tech stack reveals a data-forward engineering org: PostgreSQL, Kafka, dbt, and Apache Airflow power a modern data pipeline, while Spring Framework and Java handle application layer. Active projects span real-time monitoring dashboards, event streaming, and AI/ML data infrastructure — suggesting a shift toward analytics and automation capabilities. The hiring mix (engineering-dominant, accelerating) and pain-point focus on alert optimization and pipeline scaling indicate internal scaling pressure as the company tackles multi-tenant deployments and ERP conversion complexity.
DMSi designs specialized inventory control and accounting software for distributors in the lumber and building materials industry, with operations serving North America and Australia-New Zealand. The product addresses core workflows including shipment tracking, production scheduling, ecommerce integration, and business intelligence reporting. The company operates at 201–500 employees and was founded in 1976, based in Omaha, Nebraska. Current work includes new ERP implementations for customers, post-acquisition system integrations, and internal platform expansion into real-time monitoring and event-streaming capabilities.
PostgreSQL, Kafka, Apache Airflow, dbt, Meltano, Python, Java (Spring Framework/Boot), AWS (Glue, Athena, Redshift, Lake Formation), GCP, Azure, Terraform, Ansible, Jenkins, Prometheus, Grafana, Datadog, New Relic, ELK Stack, Nagios.
Real-time monitoring dashboards, alert escalation, ERP conversion and integration (M&A), event streaming infrastructure, AI/ML data pipelines, and a common framework for multi-tenant ERP deployments.
DMSi Software'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.