Native warehouse and inventory management apps for NetSuite and Oracle Cloud
RF-SMART builds inventory and warehouse software that runs natively inside NetSuite and Oracle Cloud SCM, with a stack centered on SuiteScript, TypeScript, C# and Node.js alongside Epic Systems for healthcare supply chains. Job posts point to product expansion beyond WMS: a transportation management (TMS) offering and an inventory optimization product in market validation. Accelerating, sales-heavy hiring suggests a push to fill pipeline for these new lines.
RF-SMART is a privately held software company headquartered in Jacksonville, Florida, with roots dating to 1982 and a team of 201–500 employees. It provides warehouse management, barcoding and inventory tools built directly on ERP platforms, so inventory data stays inside the customer's ERP rather than in separate systems. Its products work with NetSuite, Oracle Cloud SCM, JD Edwards and Microsoft ERPs, and it also serves healthcare organizations with compliant inventory solutions. Customers span businesses of varying sizes across many countries, supported by a network of implementation partners.
RF-SMART works with NetSuite, SuiteScript, Oracle Cloud SCM, TypeScript, JavaScript, Node.js, React, C#, Python and AWS, plus Jira, Confluence, HubSpot, Salesloft and Celigo for internal operations.
Yes. Hiring is accelerating in the United States, led by sales and engineering with product and support roles, and skews toward senior hires alongside an intern cohort.
Job posts reference a full implementation lifecycle for RF-SMART TMS, market-fit validation for an inventory optimization product, NetSuite application development, and go-to-market readiness work.
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RF-SMART'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.