Following the launch of its Resid Upgrade Plant in 2014, Tüpraş İzmit faced rising crude oil type diversity, product complexity, and pressure from port-based sales that increased jetty congestion.
The refinery launched a digital transformation integrating planning, inventory and logistics across the value chain, deploying AI-driven forecasting and optimization solutions to improve the entire supply chain.
The site improved delivery reliability from 85% to 95%, shortened average truck loading times by 75%, increased forecasting labour productivity by 48%, reduced CO2 emissions by 8% and water consumption by 31%.
Have a similar implementation?
Share your customer's AI results and link it to your vendor profile.
Submit a case study →
Your brand here — Reach manufacturing decision-makers researching AI adoption.