Fast-fashion jewellery retailer with 900+ stores across 37 countries
Lovisa is a publicly listed fast-fashion jewellery and piercing retailer operating 900+ stores across 37 countries, headquartered in Melbourne. The tech stack reveals a hybrid enterprise approach—UiPath for process automation, Azure-first cloud infrastructure, Shopify for e-commerce, NetSuite and SAP for back-office operations—with active friction around data integration and shrinkage control. Hiring is heavily sales-dominated (163 of 179 open roles) and skews junior, matching rapid store-expansion velocity across North America, Europe, and Asia-Pacific.
Lovisa designs and retails on-trend fashion jewellery and piercing services at accessible price points, rotating 150 new styles into stores weekly. The company operates a geographically distributed retail footprint spanning North America, Europe, Asia-Pacific, and Africa, with expansion into new regions as an ongoing strategic focus. Operations are anchored by regional store networks, visual merchandising execution, inventory management, and piercing-service capability. The business model depends on fast inventory turns, store staffing velocity, and supply-chain execution across 37 countries—reflected in active projects around new-store rollouts, seasonal promotions, and floor-set standardization.
Lovisa is recruiting across 13 countries: Australia, United Kingdom, United States, Canada, France, Germany, Poland, Romania, Italy, South Africa, China, Malaysia, and Vietnam.
Core systems include Shopify (e-commerce), NetSuite and SAP (ERP), Infor WMS (warehousing), UiPath (process automation), Azure cloud infrastructure, Power BI (analytics), and Klaviyo (marketing automation).
Lovisa Pty Ltd'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.