CPQ platform for made-to-order manufacturing and complex sales
Elfsquad builds a Configure-Price-Quote platform targeted at manufacturers handling custom orders and complex product configurations. The stack—C#/.NET, Azure SQL, Redis, plus OpenAI and Azure AI—reflects a backend-heavy, cloud-native approach. Projects reveal a business shifting focus toward adoption and training: dynamic pricing engines, rule systems, AI suggestion layers, and extensive customer enablement programs (workshops, pre-implementation training, effectiveness metrics). Pain points cluster around churn, adoption friction, and rule complexity, signaling that sales closures are outpacing successful customer implementation.
Elfsquad operates a self-service CPQ platform for manufacturers who build customer-specific, configurable products. The platform handles order configuration, pricing automation, production order generation, and distribution channel management, with a stated focus on reducing errors and complexity in high-mix manufacturing. Founded in 2016 and based in Drachten, Netherlands, the 11–50 person team is support-heavy (6 headcount), with smaller engineering (4) and sales (2) units. Hiring spans Netherlands, Germany, and Poland. Current project work emphasizes dynamic pricing, rule engines, and AI-assisted configuration, alongside a heavy emphasis on customer success infrastructure (training programs, content strategy for DACH markets, adoption metrics).
C#/.NET backend on Azure SQL and Redis, with OpenAI and Azure AI for intelligent features. CI/CD via GitHub Actions, GitLab CI/CD, and Jenkins; testing via Selenium, Cypress, Playwright; infrastructure via Kubernetes and Terraform.
Core platform work includes a dynamic configuration workflow engine, pricing model rule system, and AI-powered suggestion engine. Heavy concurrent investment in customer success: training workshops, pre-implementation programs, training effectiveness metrics, and DACH market content localization.
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