Raw Material Crisis in R&D: How AI-Powered Formulation Takes the Pressure Off

Volatile raw material prices, disrupted supply chains, geopolitical uncertainty — and at the same time, the demand to develop new formulations faster without compromising on quality. Development teams are under pressure that no amount of clever purchasing negotiations can resolve.

Yet there is often untapped potential in the number of test runs, the use of historical data, and the speed at which alternatives can be identified.

In this webinar, Charles Jouanique shows how structured R&D data provides concrete support during a raw material crisis — and what role AI can play when the right foundations are in place.

In this video, you will learn:

• why the number of test runs is a key cost lever in a raw material crisis
• which internal R&D factors are actually controllable — and where to focus
• why Excel hits structural limits as a central data tool when complexity grows
• how a structured materials database answers substitution questions in seconds rather than hours or days
• how to activate historical experimental knowledge before starting a new test run
• what AI-assisted experiment planning requires — and why no AI works without a solid data foundation

This webinar is aimed at R&D managers, lab managers, and development engineers in the chemicals, coatings, polymer, and materials industries who want to make their development processes more resilient and put their historical data to work.