About the Webinar
Recorded: Thu, 4/30/26
Whether it is base oil price changes, additive restrictions or geopolitical trade disputes, the only constant is the need to be able to respond to change in an agile manner. Machine learning technology is enabling lubricant manufacturers to predict the performance of untested alternative raw materials and reduce the quantity of expensive final tests by 50-80%.
In this webinar attendees will see a case study showing how this works.
- Learn how price shocks can be navigated
- See how untested additives can be screened when substituting problem ingredients
- Understand how insights from AI models can guide stock levels for raw materials
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