Uttej Ippakayala

• Enhanced forecast accuracy by 12% across high volume SKUs by analyzing historical demand seasonality and weekly sales patterns to strengthen replenishment planning decisions company wide. • Decreased stockouts by 18% by recalculating safety stock and reorder points using demand variability lead time performance and service level targets across distribution centers nationwide. • Increased inventory turns from 6.1 to 6.8 by identifying slow moving items and supporting inventory rebalancing with operations and warehouse teams across regional distribution networks. • Built Power BI dashboards tracking OTIF fill rate backorders and lead times supporting weekly supply chain reviews and informed operational decision making for leadership teams. • Identified transportation cost leakage totaling 250K annually through carrier performance reviews and lane level cost analysis supporting logistics planning decisions across outbound distribution operations network. • Lessened order fulfilment delays by 15% by analyzing warehouse throughput constraints and coordinating corrective actions with logistics and procurement teams across multiple distribution facilities nationwide.

Supported demand planning and replenishment activities, reducing excess inventory by 14% across regional warehouses through improved forecast alignment and timing.  Prepared demand, inventory, and service-level inputs used in monthly S&OP alignment discussions with planning, procurement, and operations teams.  Improved supplier on-time delivery from 82% to 91% by tracking lead-time performance, maintaining vendor scorecards, and escalating exceptions to procurement teams.  Reduced procurement cost variance by 9% through spend analysis, pricing trend reviews, and analytics support during supplier negotiation activities.  Enhanced warehouse order accuracy by 11% by analyzing WMS fulfillment errors, throughput metrics, and delivery performance trends.  Automated recurring inventory, demand, and service-level reports using optimized SQL queries and Power BI refresh pipelines, reducing manual effort by 30% and improving data availability for planners.  Utilized ERP inventory, purchase order, goods receipt, and order fulfillment data to support replenishment planning and service- level tracking across operational cycle