Designer rug and home textile manufacturer scaling ecommerce and data infrastructure
Loloi Rugs operates a vertically integrated textile manufacturing and retail business with a modernizing tech foundation. The stack reveals dual infrastructure: enterprise systems (Coupa, ServiceNow, ERP) for supply-chain operations, and developer-centric tools (Node.js, Express, GraphQL, PostgreSQL, Prisma) for ecommerce and data pipelines. Active projects around backend APIs, data synchronization, and seasonal product launches signal ongoing investment in automation and scale — consistent with a 201–500 headcount org in accelerating hiring mode across engineering, data, and product.
Loloi Rugs is a family-owned textile manufacturer headquartered in Dallas that designs and produces rugs, pillows, and throws for the home furnishings retail and designer markets. Founded in 2004, the company operates multiple distribution facilities and sells through a network of retailers and interior designers. The business is scaling product depth (thousands of SKUs, new categories) and digital sales (Shopify-based ecommerce), with internal challenges centered on data consistency across ERP, purchasing, and retail systems. Current hiring spans distributed roles in data, engineering, product, and sales, indicating growth into platform automation and omnichannel distribution.
Loloi runs Node.js, Express, and GraphQL for backend services; PostgreSQL and Prisma for data; Shopify for ecommerce; ServiceNow and Coupa for supply-chain; Azure and AWS for cloud; and Power BI and Tableau for analytics.
Current projects include backend APIs for ecommerce, data orchestration integration layers, system synchronization pipelines, seasonal product launches, and social-first content across Instagram and TikTok for Loloi and Joon Loloi brands.
Loloi Rugs'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.