About Us

Delivering clarity in a complex world through rigorous market analysis and innovative logistics solutions.

Our Mission

Our Vision

To redefine company's supply chain and logistics through the power of data-led decision-making.

Who Are We

Founded in 2022, SimulistiX is a specialized consultancy company dedicated to helping ambitious companies and organizations primarily located in the Balkan Peninsula navigate the complexities of an ever-changing global markets. Unlike traditional companies, SimulistiX operates in a hybrid setting by blending the skills of diverse specialists from various industries. This agile structure allows us to assemble the perfect team for every challenge, thus ensuring our clients receive professional guidance and the most practical, high-impact solutions available in the respective industry. We don't believe in off-the-shelf answers. Instead, we work alongside our clients as one team, to develop tailor-made solutions to their most pressing logistical and operational problems. While our methodologies can be universally applied to various industries, we are primarily specialized in the Food Industry, Energy Sector as well as in Retail and Commerce. We are committed to elevating regional industries to international standards, ensuring that our clients not only compete but redefine their industries on a global stage.

About the Founder

Suad Saliju specializes in supply chain efficiency, drawing on 7+ years of expertise across academia and the private sector. By combining the best of both worlds, he delivers high-impact value to predominantly small and medium-sized companies (SMLEs) in the Food, Retail, and Energy sectors. He holds a B.Sc. in “Economics, International Trading and Financial Markets” from the Trieste University, Italy and a M.Sc. in „Economics“ from the Friedrich-Alexander University (FAU), Nuremberg, Germany. His work focuses on the synergy of Operations Research and Data Analytics, creating hybrid frameworks that allow companies to assess diverse scenarios and make data-driven decisions on supply chain optimization.