Arya-AI is an AI-powered supply chain optimization engine that transforms complex and manual distribution planning into fast, data-driven, scenario-based decision-making processes. By simulating thousands of allocation scenarios based on supply, demand, constraints, and organizational priorities, it generates the most optimal plans for loading, routing, and allocation.
Designed for highly diverse and resource-constrained environments, Arya-AI offers customized optimization models such as fairness, priority, and demand maximization. It adapts to last-minute field data without disrupting existing plans, making it ideal for both corporate operations and mission-critical scenarios.
The system integrates seamlessly with automation platforms like UiPath and Microsoft Azure, closing the loop between planning and execution. Its modular architecture allows for deployment both on the cloud and on-premise.
Currently used by major manufacturers and global distributors, Arya-AI creates tangible real-world impact by reducing planning time from weeks to minutes, improving order fulfillment accuracy, and strengthening supply chain resilience.
Experienced logistics and supply chain management professional with 15 years of expertise in driving business development, strategic planning, and operational excellence within complex, high-volume environments. Holding an MSc in Global Supply Chain & Logistics Management from the University of Sussex and an Executive MBA from Bogazici University, I have successfully managed large-scale logistics operations, including pharmaceutical logistics, with budgets exceeding £20 million. Proven track record in leading IT integration projects, optimizing warehouse and distribution operations, and implementing advanced technologies like RPA to enhance efficiency. Demonstrated ability to double business
by mare.design