AI-Powered Decision Support for Smarter Supply Chain Planning
Unlocking procurement efficiency through AI-powered decision support, enabling greater cost control, improved agility and smarter material planning across complex supply chain environments with enterprise-level data analytics.
Current Challenge
One of Türkiye’s leading industrial enterprises sought to improve procurement efficiency across its supply chain operations. Despite well-established processes, fluctuating demand, manual decision-making and increasing supplier complexity were creating inefficiencies. The organization needed a data-driven decision support system to plan more effectively, minimize waste and ensure that the right materials were acquired at the right time, with the right cost.
"We knew we had a lot of operational potential hidden within our data. Treomind helped us unlock it with a smart, AI-backed approach to procurement. The impact was fast, measurable and future-ready."
Our Approach
Treomind developed a strategic AI powered decision support model tailored to the organization’s procurement and supply chain functions. Using advanced analytics, historical purchasing data and domain specific intelligence, we built a predictive framework that guides procurement teams in making optimal choices. The system enables scenario based decision making, cost simulations and real time risk visibility, all integrated with the company’s existing infrastructure.
Impact
The new AI powered model delivered immediate results:
- Improved procurement accuracy and timing
- 14% to 35% increase in operational efficiency depending on the product group
- Stronger cost control and reduced waste
- Higher agility across the entire value chain
This project is a critical step forward in enabling smarter and more resilient supply chain operations powered by artificial intelligence.