How Boehringer Ingelheim makes every conversation at conferences count

Boehringer Ingelheim attends 120-160 conferences a year and needed to strategically match internal colleagues with high-value conference contributors despite crowded venues, limited stakeholder time, and a slow manual prep process that required reviewing internal strategy documents, past notes, third-party data, and schedules. The company implemented Monocl Conferences (a Definitive Healthcare product) as its planning hub to identify key stakeholders and emerging experts at each event, map competitor representation and priority compounds, and flag high-value presentations via keyword analysis, while also using generative AI to merge Monocl data with internal notes into unified pre- and post-meeting briefs. This enabled 35-45% more effective budget management and cut months of manual research down to days; Nirad Acharya, Global Capability Owner at Boehringer Ingelheim, said the focus is on "investing in strategic clarity and actionable insight — leveraging data not just to analyze, but to connect with the right stakeholders at the right time, with purpose and precision."

Definitive Healthcare is a claims and provider-reference data platform used by pharma commercial teams for go-to-market planning and sales targeting.

This sits in the Data Providers stage of the AI use-case lifecycle: Named examples from the real-world-data, claims and competitive-intelligence providers pharma AI systems are trained on, benchmarked against, or run inside of.