Direct-to-consumer supplement brand with integrated e-commerce and operations platform
MaryRuth's operates a DTC wellness brand selling plant-based supplements through Shopify, backed by a NetSuite ERP stack (Azure cloud, Power BI analytics). The tech mix—NetSuite, Shopify, Celigo/Boomi integration middleware, plus Okta identity—indicates a maturing omnichannel operations setup managing inventory, fulfillment, and financial consolidation across multiple geographies. Active projects center on NetSuite–Shopify integration and storefront optimization, while pain points span payroll compliance, remote team coordination, and end-user support—a pattern typical of scaling DTC brands managing rapid growth across distributed teams.
MaryRuth's manufactures and sells plant-based, non-GMO supplement products directly to consumers. The company operates a Shopify-based e-commerce storefront and uses NetSuite for enterprise resource planning, financial management, and fulfillment orchestration. Marketing, creative, and sales functions drive product launches and account planning, supported by analytics dashboards (Power BI, Tableau) and creative tools (Canva, Motion). The organization employs 51–200 people across Los Angeles headquarters, with distributed hiring in the United States, Mexico, and Philippines. Current hiring focus spans HR, marketing, engineering, and support roles at mid-to-senior levels.
NetSuite, integrated with Shopify for e-commerce order management. The company uses Celigo and Boomi for middleware integration, SuiteScript for custom automation, and SuiteQL for reporting.
Power BI and Tableau for dashboards and reporting. The company also uses Motion and Northbeam for creative performance analysis and optimization.
MaryRuth's'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.