Multi-brand eCommerce furniture company with in-house design and global manufacturing
Maxwood Furniture operates a portfolio of solid-wood furniture brands sold primarily through eCommerce channels across North America. The tech stack reveals a data-forward organization — Azure (Data Factory, Synapse, SQL Server), Salesforce Marketing Cloud, Klaviyo, and Attentive for customer engagement — paired with active hiring in marketing, ops, and a nascent data team. Current project focus on AI-ready data warehousing, API integrations, and incrementality analysis signals a shift from campaign-level attribution toward predictive revenue modeling and paid-search optimization.
Maxwood Furniture is a privately held furniture manufacturer and brand operator headquartered in Charleston, South Carolina. Founded in 2003, the company designs and manufactures solid-wood furniture across multiple brands targeting families and home buyers, with primary distribution through direct-to-consumer eCommerce and select B2B retail partnerships. Operations span product design, global manufacturing partnerships, U.S. distribution, and marketing across owned brands and third-party marketplaces (including Amazon). The organization employs 51–200 people across design, supply chain, operations, marketing, technology, and customer experience functions.
Maxwood runs Shopify for eCommerce, Azure (Synapse, Data Factory, SQL Server) for data infrastructure, Salesforce Marketing Cloud and Klaviyo for customer engagement, and Adobe Creative Suite (InDesign, Photoshop, Premiere Pro) for design. Analytics tools include Power BI, Google Analytics, SEMrush, and Ahresti.
Active projects include building an AI-ready data warehouse, API integrations for data ingestion, incrementality analysis and forecasting models, visual and motion-graphics marketing for brands, and email/SMS campaign optimization across owned and third-party channels.
Maxwood Furniture'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.