Jindal Stainless has started India’s first supply chain digitalisation initiative in the steel industry with Project Pragati. With Pragati’s implementation, customer lead times are expected to reduce by 10–15%, which will significantly improve delivery performance.
May 15, 2025
Jindal Stainless has announced the launch of Project Pragati—a pioneering digital transformation initiative aimed at automating the production process from casting to finishing at its Hisar manufacturing unit. As the first-of-its-kind in the steel and stainless steel industry, Pragati integrates advanced planning and execution technologies through Dassault Systèmes’ Delmia applications, with Capgemini as the implementation partner, to significantly boost productivity and elevate customer experience.
With Pragati’s implementation, customer lead times are expected to reduce by 10–15%, which will significantly improve delivery performance. This project will help maintain appropriate inventory levels based on past off-take trends, thereby increasing customer satisfaction. Pragati will also optimise inventory costs by 8–10% through real-time tracking and intelligent allocation. Furthermore, this digital solution will enhance capacity utilisation by approximately 5%, driven by improved visibility into equipment loading and route optimisation.
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Pragati operates on Delmia Quintiq’s Characteristics-Based Planning (CBP), which is seamlessly integrated with SAP to create a unified, intelligent planning and execution environment. When a customer orders a finished product, Pragati automatically identifies the optimal fulfilment method in real-time, either by intelligently allocating it from existing inventory or by strategically scheduling production at any phase of the manufacturing process, from casting to finishing, while considering the quickest and most efficient path to meet the demand. This solution eliminates manual interventions through automated decision-making. Its real-time mobile dashboards powered by Delmia Apriso offer visibility into key performance indicators like production volumes, OTIF (On-Time In-Full), yield, equipment utilisation, and dispatch trends, ensuring robust operational control for manufacturing units.
