Inside JSW Steel’s connected enterprise journey: Supply chain planning for 2026

In today’s volatile market, supply chain resilience isn’t optional, it’s a strategic advantage.

For an industry leader like JSW Steel, managing planning across multiple plants through manual, Excel-driven processes resulted in data inconsistencies, siloed decision-making, and limited ability to model disruptions or opportunities at speed.

Check out this insightful fireside chat with Rahul Surve, General Manager – IT & Digital Solutions at JSW Group, as he walks through JSW Steel’s multi-dimensional planning transformation on Anaplan.

This session will unpack how JSW Steel is strengthening production planning, improving visibility, and enabling faster, more confident decisions across critical stages of their Annual Business Planning (ABP) process.

Here’s what you’ll learn:

• How JSW Steel digitized shutdown planning, production maximization, and multi-scenario planning across integrated and coated plants using Anaplan.
• Key insights from their ABP Pre- and Post-Processing modules including shutdown calendars, unit-level production plans, daily planning, and automated reporting.
• How scenario-driven planning and centralized models improve plan-actual alignment and support faster, better decisions.
• How JSW Steel is planning to build a connected enterprise, unifying operations, production, and finance on a single source of truth.
• Q&A with Rahul Surve on lessons learned and practical takeaways from their transformation journey.

Why this matters

JSW Steel’s move from distributed, static planning to a unified, data-driven planning environment showcases what modern supply chain organizations must embrace to remain resilient.

From shutdown calendars to production optimization, rapid scenario simulations their transformation is enabling agility, operational stability, and better decision-making heading into 2026 and beyond. This session is designed for supply chain leaders, production planning and operations leaders seeking to improve resilience and efficiency across geography covering complex manufacturing site networks.