Delivery
Quote Assistant
Industry
Production
Area
Use data and knowledge to create better offers
Impact
Faster time to market, fewer errors, better scalability
Introduction
Creating more sustainable solutions through innovation and collaboration.
Bollerup-Jensen is a Danish company specializing in silicate-based products and cleaning solutions. The company is dedicated to developing more environmentally friendly alternatives that reduce the use of harmful chemicals and support greener operations for both businesses and consumers. Through close collaboration with universities, research institutions, and industry experts, Bollerup-Jensen continuously develops new solutions that meet future environmental requirements - without compromising efficiency and quality.
Challanges
A manual and complex quotation process with strong potential for automation.
Bollerup-Jensen had a clear ambition to strengthen the use of digital tools and better leverage data across the business. One of the processes that quickly showed significant potential was the preparation of customer quotations. The quotation process was largely manual and characterized by considerable product and pricing complexity. At the same time, the process was semi-structured, and most of the inputs required for quotation creation - including products, pricing, and bills of materials - already existed in the company’s ERP system. This made the process both time-consuming and prone to errors, while also highlighting a clear opportunity for automation.
The Solution
A data-driven quotation assistant that automates pricing and proposals.
Codellent designed, developed, and implemented a data and application solution that automates price calculations and quotation generation. The solution was built as a quotation assistant, enabling users to quickly and intuitively combine products, adjust configurations, and create quotations based on specific customer needs. The assistant is powered by data from the ERP system, which is automatically retrieved and transformed into a consistent, reliable, and continuously updated data foundation. On top of this, a data-driven pricing engine was developed with a user-friendly web-based interface in Streamlit. The pricing engine combines information from bills of materials and supplier data, calculating both cost and sales prices based on configurable margins.
Final thoughts
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PROJECTS