As India’s infrastructure and manufacturing activity accelerate, metal procurement continues to face delays due to fragmented sourcing, limited visibility, and manual coordination across the supply chain. Solving this at scale, Enlight Metals, India’s first agentic AI–enabled metal procurement platform, is transforming the steel supply chain by delivering 35 percent faster procurement cycles and enabling up to 24-hour delivery timelines across key industrial regions. The platform integrates Agentic AI across sourcing, inventory, and logistics to replace reactive processes with autonomous, data-driven execution.

At the core of Enlight Metals’ platform is an agentic AI control layer that continuously analyzes demand signals, order velocity, regional consumption trends, and live project activity. Based on these inputs, the system autonomously forecasts demand, optimizes inventory placement, and orchestrates fulfillment decisions in real time, significantly reducing project downtime. To support this accelerated execution, Enlight Metals operates a growing network of AI-powered dark stores and micro-fulfillment hubs across 4+ industrial corridors. These hubs pre-position high-demand metal products closer to consumption points, enabling reliable 24-hour delivery and driving 25 percent growth in delivery efficiency compared to traditional procurement models.

Beyond speed, the platform delivers tangible capital efficiency gains. By dynamically deciding what to stock, when to replenish, and how to prioritize dispatch, Enlight Metals has helped customers achieve faster inventory turnover while reducing excess stock and working capital lock-in. The entire procurement lifecycle, from pricing discovery and availability to order confirmation and delivery tracking, is fully digitized, bringing transparency and predictability to a historically opaque industry.

Commenting on the impact of agentic AI on operations, Dhananjay Goel, Director, Enlight Metals, said, “Metal procurement has long been constrained by manual planning and delayed execution. By embedding agentic AI across our supply chain, we are enabling measurable improvements, faster deliveries, better inventory utilization, and stronger capital efficiency. Our focus is to help businesses execute projects without supply-side friction.”

By continuously learning from execution data and regional demand patterns, Enlight Metals created a scalable, AI-native metal distribution backbone designed to support India’s next phase of infrastructure and manufacturing growth. Its agentic AI–driven model signals a decisive shift toward faster, more predictable, and efficiency-led metal procurement at scale.

For more information: www.enlightmetals.com