Our team
is composed of AI technology and science enthusiasts,
who have years of experience in supply chain optimization and business software development. We work with passion and creativity to meet the needs of our customers.
Maciej Kowalik
Maciej Kowalik, is a graduate of the Poznan University of Economics, where he received his master's degree in International Economic Relations in 1996. He holds an MBA with a specialization in Logistics and Supply Chain from the Poznan School of Logistics, which he completed in 2016. From the very beginning of his career, he was associated with world development enterprise management software leaders: Great Plains (now part of Microsoft), Epicor (formerly Scala), SAS Institute, JDA, where he held independent and managerial positions.
He has experience in both the implementation of management support software and advanced analysis in the supply chain area, as well as their sales. He has repeatedly successfully introduced new supply chain solutions for retail chains, distribution and manufacturing companies both in Poland and European markets.
Piotr Kowalik
Piotr Kowalik, is a graduate of the Military University of Technology in Warsaw, where he received a master's degree in electromechanics from the Electromechanical Department in 1987. He is a graduate of postgraduate studies at Poznan University of Technology in Database and Computer Networks.
Since 1999, he has worked in multinational companies in the IT sector where he held the position of project manager. He has led many projects including. in the retail, telecommunications, insurance, banking, energy, aviation sectors, including overseas, in countries in Europe, the Middle East, Asia and Australia.
RESEARCH STAFF R&D
Ph. Eng. Piotr Cyplik, prof. PP
A graduate of the Poznan University of Technology. Doctoral degree in economic sciences In the discipline of management science. Doctor in technical sciences from the Faculty of Management Engineering at Poznań University of Technology, in the discipline of machine construction and operation, with a specialization in production management and engineering.
Researcher and lecturer in supply chain management, production management, inventory management, procurement and purchasing logistics, process management and enterprise and forecasting. Long-time Head of the Department of Logistics Systems and Pro-rector at the Poznan School of Logistics.
Currently Head of the Department of Production Management and Logistics at the Faculty of Engineering Management of Poznań University of Technology. He has authored more than 120 scientific publications on inventory management, logistics and production management. Trainer and consultant in the organization of inventory management processes, purchasing management, logistics management, production management. Manager and lead implementer of more than 50 consulting projects for commercial, manufacturing and logistics companies.
More than 20 years of experience in implementing and managing research and development projects co-financed by EU funds.
prof. Tomasz Górecki
Tomasz Górecki is a professor (and associate dean for grants and outreach) in the Department of Mathematical Statistics and Data Analysis at the Faculty of Mathematics and Computer Science, Thomas A. Górecki University. Adama Mickiewicza in Poznan. His main research interests are in artificial intelligence methods, machine learning and time series analysis and their applications.
He has many years of experience working with industry, including. Lidl, Samsung, PWN, OLX and Allegro, where he worked, among others. on demand and inventory forecasting systems, intelligent voice systems and recommendation systems. In addition, he has worked for years with specialists in other scientific fields, among others. economics, chemistry, geography or transportation by combining practice and theory. He is the author of more than 80 scientific papers and 3 book studies.
Ph. Stanisław Krzyżaniak
Dr. Eng. Stanislaw Krzyzaniak until 2019 worked at the Institute of Logistics and Warehousing. At the same time, he taught at the School of Logistics in Poznań, where he worked as a full-time research and teaching staff member until April 2022. After the end of this form of employment, he continues to work with the School of Logistics in both the teaching and research fields
His research, teaching and consulting activities include. modeling, simulation and optimization of processes related to inventory management. He is the author of many publications in the field of logistics - scientific and popularizing (a total of more than 80 items in journals and conference materials). Scientific co-editor of two books, author and co-author of four textbooks on logistics and inventory management. Speaker at dozens of national and international conferences. Since 1996, he has conducted various training courses, seminars and lectures at postgraduate programs in this area.
He is a member of the Polish Logistics Society and was a member of the organization's Board of Directors until June 2021. As a representative of PTL, he served on the Board of Directors of the European Logistics Association (ELA) from 1998 to 2010. He was a member of the European Research Council from 1999 to 2019. He was a member of the Executive Board of the organization's Executive Committee for Certification in Logistics (ECBL) and served as Chairman of the Board from 2005 to 2010. He was a co-organizer of the European System for the Certification of Logistics Professionals in Poland, created in 2000.
dr Marcin Bartkowiak
Dr. Marcin Bartkowiak, assistant professor in the Department of Applied Mathematics at the Institute of Computer Science and Quantitative Economics at the Poznań University of Economics. Supervisor of the Financial Engineering specialty. His research deals extensively with quantitative finance and time series modeling.
He is particularly interested in issues related to forecasting different types of time series and the efficiency of optimization algorithms. He has worked on projects for Comarch S.A., MGW Corporate Consulting Group, and Darkpool One.