Paritosh Shinde: Building The Future Of Supply Chain Resilience Through AI, Simulation, And Digital Twins

Paritosh Shinde is the Associate Manager, Factory Simulation & Planning Excellence at Reckitt, where he works at the company’s Zeeland, Michigan site, leveraging simulation, AI and advanced planning methodologies to drive resilience in highly sensitive manufacturing operations.

With a master’s degree in Industrial Engineering, Paritosh has always been fascinated by how factories think, function, and fail. At Reckitt, he channels that curiosity into building digital twin environments, virtual mirrors of factory floors that behave just like the real thing. These simulations allow teams to test thousands of “what-if” situations: What if a supplier fails? What if a machine goes down? What if demand suddenly spikes? Instead of waiting for disruptions, Paritosh helps his team see them coming long before they materialize.

A major part of his work revolves around blending SAP-powered enterprise data with predictive AI models. This combination gives leaders the kind of visibility that traditional planning methods simply can’t offer. Instead of reacting to shortages or delays, the organization can anticipate them and take smarter actions from adjusting inventory to rerouting shipments to reallocating capacity across plants. For Paritosh, it’s not just about efficiency, it’s about building supply chains that bend without breaking.

His work becomes even more meaningful when applied to industries like infant nutrition, where a single disruption can put families at risk. Infant formula is a product where safety, availability, and consistency are non-negotiable. By improving forecasting and stress-testing production plans, Paritosh helps reduce the chances of stock-outs critical in a sector where shortages can have real health consequences.

These systems also deliver measurable business results. Companies adopting advanced planning and simulation tools often see logistics costs come down, inventory move more intelligently, and working capital free up. Paritosh plays a key role in shaping these outcomes by designing models that balance operational efficiency with financial discipline.

He also brings climate-awareness into planning. As floods, droughts, and other environmental disruptions affect raw materials like dairy, Paritosh integrates climate-driven scenarios into his simulations. This lets companies test backup plans, switch suppliers, or adjust production before climate events cause damage. It’s a forward-looking approach that strengthens food availability and safety globally.

What makes Paritosh stand out is his ability to work across functions. He connects production teams with procurement, logistics, and demand forecasting, bringing everyone onto a single planning platform. Where organizations once operated in silos, he helps create unified decision-making that’s fast, intelligent, and adaptive.

Technically, he’s fluent in simulation tools, SAP-based planning, VBA automation, and analytical modeling skills that allow him to turn complex factory behavior into clear, practical insights. His engineering foundation is strong, and his approach is always grounded in how things actually work on the shop floor.

His academic journey reflects the same commitment. Paritosh has been recognized by the Alpha Pi Mu Honor Society for his excellence in industrial engineering, reinforcing not just his skill, but his dedication to the discipline.