Kitchen and bathroom retailer modernizing operations across 6,000+ employees in Netherlands
De Mandemakers Groep operates a multi-brand home interior retail group anchored by kitchen and bathroom specialists, serving Dutch consumers across price points. The tech stack reveals a transitional business: Optimizely, Magento, and Google Analytics 4 handle digital storefronts and customer analytics, while Pega and OutSystems power backend processes—indicating an organization mid-way through digitalization (noted explicitly in pain points). Active projects around server-side tagging, a central data layer, and online-to-offline interaction mapping confirm a push toward data maturity and unified customer views across physical and digital channels.
De Mandemakers Groep is a privately held retail holding company with over 6,000 employees across the Netherlands, built on well-known brands in kitchens, bathrooms, and home furnishings. The company operates showroom-based sales models tied to installation services, with a stated focus on customer satisfaction and employee development via its Mandemakers Academy. Operational footprint spans construction, sales, engineering, and logistics; current hiring activity is minimal (2 roles posted in last 30 days), concentrated in construction and sales. Pain points center on administrative overhead, complex business processes, unpaid invoices, and data maturity gaps—typical challenges for legacy retail players navigating digital transformation.
Primary stack: Optimizely, Magento, Google Analytics 4, BigQuery, Pega, OutSystems, Cloudflare. Supporting tools include Canva, BlueConic, GCP, VMware vSphere, Veeam, webMethods. No recent tech replacements or adoptions detected.
Kitchen installation digitalization, digital sales catalog, central data layer development, server-side tagging, online-to-offline interaction mapping, mobile check-in apps, and metering apps. Signals focus on bridging physical retail and digital touchpoints.
De Mandemakers Groep'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.