Enlight Metals deploys Agentic AI to cut metal procurement cycles by 35% and enable 24-hour deliveries across key regions.
Enlight Metals has announced a major breakthrough in India’s metal supply chain, reporting 35% faster procurement cycles and up to 24-hour delivery timelines across key industrial regions through its agentic AI-enabled procurement platform.
As infrastructure and manufacturing activity accelerate nationwide, the company said fragmented sourcing, limited visibility, and manual coordination have continued to delay metal procurement. Enlight Metals is addressing these challenges at scale by embedding Agentic AI across sourcing, inventory, and logistics, replacing reactive workflows with autonomous, data-driven execution.
At the core of the platform is an Agentic AI control layer that continuously analyses demand signals, order velocity, regional consumption trends, and live project activity. Based on real-time insights, the system autonomously forecasts demand, optimises inventory placement, and orchestrates fulfilment decisions, significantly reducing project downtime and supply-side friction.
To support faster execution, Enlight Metals operates a growing network of AI-powered dark stores and micro-fulfilment hubs across more than four industrial corridors. By pre-positioning high-demand metal products closer to consumption centres, the company has enabled reliable 24-hour deliveries and achieved a 25% improvement in delivery efficiency compared with traditional procurement models.
Beyond speed, the platform is also delivering measurable capital efficiency gains. By dynamically determining what to stock, when to replenish, and how to prioritise dispatch, customers have achieved faster inventory turnover, reduced excess stock, and lower working capital lock-in. The entire procurement lifecycle, from price discovery and availability checks to order confirmation and delivery tracking, is fully digitised, bringing transparency and predictability to a traditionally opaque sector.
Commenting on the development, Dhananjay Goel, Director, Enlight Metals, said the integration of agentic AI is fundamentally reshaping metal procurement. He noted that automating planning and execution has led to faster deliveries, improved inventory utilisation, and stronger capital efficiency for customers executing time-sensitive projects.
By continuously learning from execution data and regional demand patterns, Enlight Metals has built a scalable, AI-native metal distribution backbone aligned with India’s next phase of infrastructure and manufacturing growth. The company said its agentic AI-driven model marks a decisive shift toward faster, more predictable, and efficiency-led metal procurement at scale.
Source: PR
