ISTARI enabled TRUMPF to perform a detailed competitor network analysis using webAI. By analyzing 20M+ organizations, TRUMPF gained insights into rivals’ locations, innovation, AI adoption, and sustainability, cutting research time and improving strategic decisions.
Uncovering the depth of the competitive landscape
In the high-tech manufacturing industry, innovation alone is not enough to stay ahead. Companies like TRUMPF must also understand the full scope of their competitors, going beyond surface-level data. They needed a systematic way to identify competitors across Europe and North America and analyze their strengths in areas such as AI adoption, sustainability, and innovation. Manual research was too time-consuming and fragmented to deliver the depth of intelligence they required.
AI-supported competitor network analysis
Using ISTARI’s state-of-the-art webAI technology and a database of over 20 million organizations, we identified TRUMPF’s most relevant competitors with an AI-powered similarity scoring method. For each competitor, we extracted and structured valuable information, including location data, innovation likelihood, adoption of artificial intelligence, and sustainability commitments. This approach replaced extensive manual research with a scalable, machine-learning-driven analysis of the industry landscape.
Strategic insights to stay ahead in high-tech manufacturing
TRUMPF gained a comprehensive understanding of its competitor network, supported by scientifically validated indicators like our innovation likelihood metric. The enriched insights enabled TRUMPF to monitor rivals more effectively, anticipate market trends, and make faster, data-driven decisions. By drastically reducing time spent on manual research and providing actionable competitive intelligence, our webAI platform empowered TRUMPF to strengthen its strategic positioning and maintain a leadership role in the dynamic high-tech manufacturing sector.
