Enlight Metals brings AI efficiency to India's steel trade
29 May 2025
2 Min Read
CW Team
Pune-based metal aggregator Enlight Metals is transforming the traditionally unorganised steel trading sector by embedding artificial intelligence (AI) across its operations. Faced with challenges like unpredictable demand, stockouts, and slow customer responses, the company has adopted AI-driven tools to streamline functions from inventory to customer engagement.
By integrating AI with its CRM and ERP platforms, Enlight Metals has achieved a 40 per cent improvement in customer response time and a 25 per cent reduction in stockouts. The system prioritises customer queries from WhatsApp and email, routes them in real time, and automates key inventory and compliance checks. AI bots forecast demand using sales history and manage restocking, reducing manual errors and improving supply consistency.
鈥淪teel trade has historically been unorganised and reactive, relying heavily on experience and manual tracking,鈥� said Dhananjay Goel, Director, Enlight Metals. 鈥淏ut as customer expectations rise and supply chains become more complex, relying on gut feel leads to delays, stock mismatches, and missed opportunities. AI gives us the ability to anticipate demand, respond instantly, and optimise operations efficiently.鈥�
As steel trading rapidly moves online, Enlight Metals鈥� early adoption of AI is positioning it as a frontrunner in modernising one of India鈥檚 fastest-growing yet fragmented industries.
Pune-based metal aggregator Enlight Metals is transforming the traditionally unorganised steel trading sector by embedding artificial intelligence (AI) across its operations. Faced with challenges like unpredictable demand, stockouts, and slow customer responses, the company has adopted AI-driven tools to streamline functions from inventory to customer engagement. By integrating AI with its CRM and ERP platforms, Enlight Metals has achieved a 40 per cent improvement in customer response time and a 25 per cent reduction in stockouts. The system prioritises customer queries from WhatsApp and email, routes them in real time, and automates key inventory and compliance checks. AI bots forecast demand using sales history and manage restocking, reducing manual errors and improving supply consistency. 鈥淪teel trade has historically been unorganised and reactive, relying heavily on experience and manual tracking,鈥� said Dhananjay Goel, Director, Enlight Metals. 鈥淏ut as customer expectations rise and supply chains become more complex, relying on gut feel leads to delays, stock mismatches, and missed opportunities. AI gives us the ability to anticipate demand, respond instantly, and optimise operations efficiently.鈥� As steel trading rapidly moves online, Enlight Metals鈥� early adoption of AI is positioning it as a frontrunner in modernising one of India鈥檚 fastest-growing yet fragmented industries.
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