Luxury retail operator scaling omnichannel across 950+ stores in Middle East and beyond
Chalhoub Group is a multi-billion-dirham luxury retailer operating over 950 physical locations, e-commerce platforms, and mobile apps across the Middle East and Latin America. The tech stack reflects a maturing enterprise retailer: Oracle (ERP, Retail, EBS) + SAP S/4HANA for supply-chain backbone; Salesforce (Service Cloud, Marketing Cloud, Commerce Cloud, Data Cloud) for customer-facing operations; and creative/design tools (Adobe, Canva, Figma) for brand content. Hiring is heavily skewed toward sales (62 roles) and marketing (12), with engineering severely under-resourced (4 roles) — a typical pattern for retail-ops-driven companies scaling loyalty and CX, but a constraint as they pursue omnichannel integration and stock-optimization ambitions.
Chalhoub Group is a privately held luxury retailer and distributor headquartered in Dubai, with over 16,000 employees across eight Middle Eastern countries plus presence in Latin America. The Group operates over 10 owned luxury brands and distributes more than 400 international labels across fashion, beauty, jewelry, watches, eyewear, and lifestyle categories. Distribution spans 950+ physical stores, online platforms, and mobile applications. Recent project focus includes click-and-collect logistics, in-store CRM and customer-experience initiatives, stock optimization, and loyalty program (Muse) enrollment — all pointing toward a managed omnichannel transition. The Greenhouse, an internal innovation hub and startup accelerator, signals commitment to emerging business models.
Oracle (ERP, Retail, EBS), SAP S/4HANA, Salesforce (Service Cloud, Marketing Cloud, Commerce Cloud, Data Cloud), AWS, GCP, Shopify, Adobe Creative Cloud, Google Analytics, and Jira for project management.
CRM and customer-experience implementation, click-and-collect operations and SLA compliance, stock optimization, in-store loyalty activations (Muse program), and omnichannel transformation governance.
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Chalhoub Group'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 →
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