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TU Berlin

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Machine-Learning based procurement solution

Thién D. Nguyen (B.Sc. Indutrial Engineering),
Maike Elisa Müller (B.Sc. Mathematics & B.Sc. Economics),
Tim Stautmeister (B.Eng. Electrical Engineering)

e-procurement, SaaS, IT Services

Prof. Dr. Knut Blind

Faculty VII - Economics and Management,
Institute of Technology and Management

Berliner Startup Stipendium, 01.09.2018 - 31.08.2019

Procurement made easy


Our idea

Techfuchs is a guided purchase and procurement solution which enables employees to easily find and purchase work related equipment like laptops or computers.

Organizations can use Techfuchs to set custom purchasing policies based on recommendations and assign budgets to teams, enabling employees to make necessary purchases on their own.

Their software solution guides the user through the organization’s procurement process including the request and approval of purchases which helps enterprises reach faster decisions and ultimately save time and resources.

They achieve this with their machine learning algorithms that match existing company- and employee requirements with product specifications in the background. Based on this data, the selection of qualified products is optimized and the employees are only offered suitable products that comply with the employers corporate guidelines.

With their solution, no technical know-how or prior knowledge is required from the employees to find and purchase optimal products for work. The vision of changing the way small- and medium-sized companies realize their IT purchases and thereby strengthening the backbones of most economies around the world by letting companies focus on their core competencies.


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