AI-based automation of the complex tendering process in the heating, ventilation, and air conditioning construction sector.
Problem
Our customer Viessmann wanted us to develop a solution that would improve and simplify the complex process of (public) tenders in the area of HVAC construction.
Solution
We have developed a prototype of an intelligent platform that automatically assigns relevant products to positions in the service specification. Using specialized machine learning frameworks, we tailored and implemented the solution to the individual requirements of the use case.
Business impact
Based on our initial analysis and prototype, we have developed an MVP that allows the entire organization to significantly improve its internal tendering processes.
TenderService has shown the breadth and depth of triebwerk.ai's expertise in building an MVP. Without the great tech team, the application of advanced machine learning frameworks for natural language processing would not have been feasible.
Dennis Dümer
Head of Residential Pre-Sales and Quotation Center @ Viessmann Climate Solutions SE
30 mins
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