What is TRIZ?

TRIZ (Theory of Inventive Problem Solving) is a structured innovation and problem-solving methodology developed by Genrikh Altshuller through the analysis of millions of patents and technological evolution patterns.
TRIZ enables organizations and individuals to solve complex problems systematically through logic, contradiction analysis, and inventive principles, helping generate innovative solutions beyond traditional trial-and-error approaches.
The methodology can be applied across engineering, manufacturing, business, education, artificial intelligence, healthcare, and many scientific and technological fields.

Problems TRIZ Solves
 

	Technical and Engineering Problems Solve contradictions such as increasing strength without adding weight, improving performance without increasing costs, or increasing speed without reducing quality.
	Manufacturing Problems Reduce defects, waste, and downtime while increasing productivity, automation, and operational efficiency.
	Business and Management Problems Improve customer service, competitiveness, and organizational innovation without excessively increasing costs or resources.
	Artificial Intelligence Problems Incorporate structured reasoning, functional analysis, and logical contradiction-solving to develop more explainable and intelligent AI systems.
	Educational Problems Develop creativity, critical thinking, and systematic innovation skills in students and professionals.
	Environmental and Sustainability Problems Reduce pollution, energy waste, and resource consumption without decreasing productivity or competitiveness.

TRIZ Process 

Benefits

Systematic Innovation Generate innovative solutions through structured methods instead of relying solely on inspiration or luck.	Critical and Creative Thinking Strengthen analytical reasoning, creativity, and advanced problem-solving skills.	Greater Competitiveness Help companies and organizations improve productivity, quality, efficiency, and technological development.
Integration with Artificial Intelligence Complement AI systems through structured logic, contradiction analysis, and systems thinking.	Multidisciplinary Application Can be applied in engineering, manufacturing, business, education, healthcare, sustainability, and emerging technologies.	Development of Innovation Leaders Prepare professionals capable of solving complex problems and leading technological transformation processes.

© Copyright TRIZCON2026