Analytics helps manufacturers gain real-time visibility into stock levels, identify demand patterns, and optimize inventory placement. This leads to better service levels, lower carrying costs, and faster decision-making across locations.

OTIF measures how often customer orders are delivered completely and on time. Improving OTIF ensures customer satisfaction, reduces stockouts, and enhances supply chain efficiency, which is critical for manufacturing operations.

WNS deployed an analytics-led inventory planning model that aligned replenishment with real demand, minimized excess stock, and streamlined planning processes—cutting carrying costs by 4–5%.

Yes. By integrating analytics with current ERP systems, manufacturers can leverage existing infrastructure to gain insights, improve visibility, and implement scalable inventory optimization without costly system overhauls.

WNS designs a scalable, analytics-driven model that leverages a client’s existing ERP systems, providing real-time insights, optimizing inventory placement, and improving service levels across multiple locations.

By using existing infrastructure and focusing on demand-driven replenishment, WNS delivers faster deployment and measurable cost savings, including 4–5% reduction in carrying costs, without heavy IT investments.

WNS can implement a responsive, analytics-led inventory optimization solution in as little as six weeks, enabling manufacturers to achieve faster decision-making and enhanced operational resilience.