B2B pharmaceutical e-commerce platform serving Southeast Asian healthcare networks
Buymed operates a B2B e-commerce network connecting manufacturers, distributors, and healthcare providers across Southeast Asia. The tech stack—React, Next.js, Go, PostgreSQL, MongoDB, Elasticsearch, Redis, RabbitMQ, Kubernetes—reflects a modern, distributed systems approach built for marketplace scale and real-time operations. Current hiring velocity is accelerating across commercial, growth, marketing, ops, and sales roles, while active projects reveal a shift toward AI-driven tooling: RAG adoption, chatbot development, document processing, and AI-assisted workflows suggest the company is automating internal friction points (manual processes, pricing, compliance tracking) as it scales gross merchandise value.
Buymed is a Southeast Asian B2B pharmaceutical e-commerce platform founded in 2018, headquartered in Ho Chi Minh City with operations in Cambodia and Thailand. The platform connects pharmaceutical manufacturers and distributors with over 35,000 pharmacies, clinics, and hospitals, handling medicines and medical supplies across the region. With 501–1,000 employees distributed across Vietnam, Thailand, Cambodia, and the Philippines, the company operates a full-stack logistics and fulfillment operation. Core challenges include margin management, promotional efficiency, product availability, and compliance with pharmaceutical supply chain regulations (GSP, GDP, ESG). The company is actively scaling merchandise volume and expanding market share in Cambodia.
Frontend: React, Next.js, HTML, CSS. Backend: Go, Python, PostgreSQL, MongoDB. Infrastructure: Docker, Kubernetes, RabbitMQ. Data/search: Elasticsearch, Redis. Analytics: Tableau, Power BI. AI: OpenAI, Anthropic, LangChain, LangGraph. Adopting RAG for intelligent retrieval.
Active projects include AI tool selection and deployment, chatbot development, document processing automation, voucher tracking systems, internal pricing dashboards, supply chain optimization for OEM products, POS system integration, and AI-assisted internal workflows. Priorities are reducing manual processes and improving promotional efficiency.
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