Diversified Brazilian retail and industrial conglomerate spanning 25+ brands
Grupo Herval operates a multi-segment business across retail, wholesale, e-commerce, manufacturing, and financial services with a footprint across Brazil. The tech stack emphasizes business intelligence (Power BI, Tableau, Looker) and enterprise resource planning (SAP, Oracle) rather than custom development, reflecting a mature, operationally complex organization. Sales hiring dominates the active pipeline (62 of 98 roles), paired with inventory and conversion optimization projects—signaling a growth-driven push in customer acquisition and order fulfillment rather than platform innovation.
Grupo Herval is a Brazilian conglomerate founded in 1959, headquartered in Dois Irmãos, Rio Grande do Sul. The group operates 25+ brands across manufacturing, wholesale distribution, retail stores, e-commerce, and ancillary services including financial products and construction. With 5,001–10,000 employees and an accelerating hiring velocity, the company operates nationwide across all regions of Brazil. Core operational challenges center on inventory management, store economics, and e-commerce conversion—areas reflected in active projects around dashboard automation, predictive risk modeling, and product page optimization.
Primary stack: SAP and Oracle (enterprise systems), Power BI/Tableau/Looker (analytics), Oracle Commerce Cloud (e-commerce), Google Analytics and Meta/Google Ads (marketing). Data science tools include Pandas, scikit-learn, and NumPy. Design tools are Figma and Photoshop.
Current projects: interactive dashboards, predictive modeling for profitability, inventory reporting systems, e-commerce platform updates, store layout optimization, and PDP conversion improvements. Focus areas are operational automation and retail network expansion.
Grupo Herval'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.