Automated ecommerce operations platform with AI-driven fulfillment
OJCommerce runs a multi-category online retailer ($200M+ revenue run rate) across furniture, electronics, sports, toys, and home goods, with operations heavily automated through data systems and minimal manual intervention. The tech stack spans .NET/C# backend, React frontend, Docker/Kubernetes orchestration, and cloud (AWS/GCP/Azure), plus active investment in generative AI (OpenAI, Hugging Face, LangChain, TensorFlow, PyTorch) — indicating a shift toward AI-assisted catalog management and defect detection. Current pain points cluster around legacy system migration and warehouse/catalog automation, which align directly with ongoing projects in cloud deployment, ML pipelines, and factory monitoring.
OJCommerce is a profitable, bootstrapped online retailer founded in 2010 and headquartered in Miramar, Florida. The company operates across 10+ product categories and manages ~$200M in annual revenue with a 51–200-person team. The business model is built on minimal-touch operations: sophisticated data systems automate order fulfillment, inventory, and catalog management with virtually no manual intervention. Current engineering focus spans cloud-based application modernization, generative AI solutions for catalog and defect detection, and end-to-end ML pipelines for warehouse optimization.
OJCommerce uses .NET/C#/ASP.NET Core on the backend, React on the frontend, Docker/Kubernetes for orchestration, SQL Server for databases, and AWS/GCP/Azure for cloud infrastructure. The company recently added generative AI tools: OpenAI, Hugging Face, LangChain, TensorFlow, and PyTorch.
OJCommerce is headquartered in Miramar, Florida. The company was founded in 2010 and is privately held. Hiring is currently active in India as well.
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OJCommerce'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 →
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