Established in 1975, this leading Indian industrial lubricant manufacturer has built a strong nationwide presence with a state-of-the-art production facility in Silvassa and strategically located warehouses in Silvassa, Gurugram, and Chennai. Over the years, the company has served a diverse customer base across automotive, industrial, and OEM sectors. However, with growing SKU complexity and customer expectations, they began experiencing significant challenges in managing inventory across their supply chain.

Maintaining the right stock levels—balancing product availability without overstocking—proved difficult across both manufacturing and warehousing operations. These issues led to inefficiencies such as stockouts, excess inventory, delayed order fulfillment, and rising holding costs. The traditional forecasting and planning approaches in place were not equipped to handle evolving demand patterns, SKU proliferation, or shifts in customer behavior.

To address these challenges, the company partnered with Translytics, a supply chain analytics firm known for its AI-driven demand planning solutions. By leveraging Translytics’s cutting-edge demand analysis and demand modeling algorithms, they embarked on a data-driven transformation journey that yielded measurable results.