Online furniture and homewares retailer with AI-driven personalization
Temple & Webster operates a design-led e-commerce platform selling furniture and home decor across Australia. The tech stack—React, Next.js, GraphQL, BigQuery, Python on GCP—reflects a modern frontend-first approach, while active projects around GenAI tools, agent-based automation, and monolithic-to-microservices migration signal a push toward AI-powered customer experience and operational efficiency. Pain points center on schema complexity, manual processes, and data silos across multiple platforms, suggesting the business is scaling beyond its original architecture.
Temple & Webster is a publicly listed Australian retailer founded in 2011, headquartered in St Peters, NSW. The company sells premium furniture and designer homewares direct-to-consumer and operates a Trade+Commercial program serving business customers with bulk discounts, packages, and installation services. With 201–500 employees, the business spans product, engineering, design, and finance functions. Core operations include inventory management via SAP Business One, customer-facing transactions on a React/Next.js frontend, and backend data processing on GCP's BigQuery and Python stack.
Frontend: React, Next.js, TypeScript, Tailwind CSS, GraphQL. Backend: Python, SQL, BigQuery, GCP. Infrastructure: Linux, Windows Server. ERP: SAP Business One. Monitoring: Sentry, New Relic, Lighthouse.
Customer journey optimization, GenAI-powered tools, agent-based automation, design system integration, modern frontend architecture migration, schema tagging for search, and process automation for month-end accounting and statutory reporting.
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