How Scribex built a custom ERP for scale.
Case study
How Scribex built a custom ERP for scale.
Client
EU-based Industrial Parts Supplier
Industry
Supply Chain
Solutions
Artificial Intelligence, Cybersecurity
A rapidly expanding industrial parts reseller operating across Europe, the Middle East, and the Americas was constrained by an outdated ERP system.
Over years of patchwork updates, the system had become slow, cluttered, and error-prone. Core workflows across sales, supply, logistics, and accounting were broken. As a result, they were facing slow order processing, rising error rates, frustrated staff, and declining customer satisfaction. New employees faced a steep learning curve, and the company required excessive staffing to maintain operations.
Scribex designed and implemented a custom ERP platform built from the ground up. A full workflow discovery mapped every department process, which was then optimized and automated. AI models powered lead scoring, supplier comparisons, and predictive analytics. An internal task system and communication hub connected teams and clients, while automated pricing and document generation reduced manual work.
The platform normalized the product catalog, integrated after-sales and logistics, and delivered predictive insights across the organization. Built with an Agile methodology, the first release went live in just seven months, with continuous feature rollouts thereafter.
Human errors reduced dramatically through automated validation and workflows
Order processing accelerated, shortening lead-to-order cycles
Staffing needs reduced, as the same volume was handled with fewer employees
Optimized supplier selection improved margins
Employee satisfaction increased thanks to a clean, intuitive interface
Predictive analytics delivered smarter business insights for planning and procurement
Lead-to-order automation with instant offer and pricing generation
AI-powered supplier offer scraping, comparison, and rating
Internal task management and cross-department communication hub
Order status tree and automated supplier/client rules
Product catalog normalization and predictive analytics
Integrated after-sales, logistics, and tracking workflows
AI-powered notifications and admin guidance
Agile, iterative delivery with continuous updates
Chief Executive Officer