• Weekly customer facing scorecards to maintain 30+ DOH for RNA customers using demand analytics and forecasting across McKesson's distribution network• Using SAP to execute virtual warehousing for 500+ products across 30 distribution centers for 4 customer portfolios.• Statistical modeling and sales analysis using IBP forecasting tools.• Lead weekly customer calls with RNA customers to review sales, forecast, and inventory levels. • Strategically working with customers to add new items, manage discontinued items, and item switches customer porfolios.• Financial analysis for McKesson customer sales and McKesson margin impact. Continually reviewing inventory levels to reduce carry cost and drive value throughout McKesson’s supply chain.• Strategic inventory management for McKesson customers using SAP and IBP to review and allocate inventory while forecasting/modeling across DC network and customers• General operational support which requires a self-driven, problem-solving, research champion while being adept at gathering details, then communicating accurate and timely updates to cross-functional business teams. Research issues, problem-solve, follow up, and close out discrepancies in customers inventory status (e.g., back-order status and order omits)• Continually reviewed sales vs. forecast weekly to maintain 98% service levels for RNA customers using IBP statistical modeling and reporting.

• Determined key economic financial drivers to adjust monthly demand forecasts that drove sales of $110M annually in North America for 240 SKU’s in Haagen Dazs, Dreyer's/Edy's, and Soft Serve Foodservice business.• Lead and managed S&OP monthly meetings for Ice Cream Foodservice business to align on 90 day and 18 month financial sales forecast. Identified risk and opportunities to achieve +3% growth target versus prior year.• New Product forecasting lead for Demand Planning in ice cream division to ensure successful launch of 70+ SKU’s from development phase through post launch period across 5 branded products worth $230M in volume.• Created a New Product sustainable cross-functional report card to drive 96% CFR, +20% forecast accuracy improvement, and +/- 10% bias while streamlining communication across the Ice Cream division in weekly operational reviews.• Managed review of New Product inventory vs. forecast with cross-functional supply chain teams to ensure 35+ DOH inventory to customers, optimal production runs, 99% case fill rate, and eliminate risk of year-end salvage with use of weekly scan-based data report.• Owner of SKU Rationalization in Demand Planning to reduce cost, eliminate waste, and maintain optimal levels of products for 1,000+ SKU’s across 30 distribution centers and warehouses in $2.5B ice cream division.• Subject Matter Expert lead for LEAN continuous process improvement/problem solving to support initiatives throughout Nestlé USA and eliminate process-related costs.• Super-User in Demand Planning for SAP APO forecasting interface tool used to monitor and adjust shipment forecast to achieve a 68% Accuracy at Item/DC/Week Lag 2.• Highly proficient with SAS, KW - Hyperion, and BW - Webi Analytical workbench tools. Used to analyze current demand forecasts from different levels (Customer, Region, Brand, Distribution center) and create statistical business models.

• Responsible for running daily, weekly, monthly, and quarterly reports for the Procurement department to achieve an optimal DOH of 30 days.• Monitored raw material prices and tracked economic changes monthly to achieve lowest cost to supply chain for chair component parts.• Job required extensive knowledge of Microsoft Excel and the ability to use VLOOKUPS, pivot tables, linking workbooks, macros, graphing, formatting, sum-ifs, and other basic equations to create and maintain reports.• Attended weekly, monthly, and quarterly Supply Chain meetings to review component parts, commodities, sourcing, and demand forecasts to prevent stock-outs.• Provided assistance to Quality, Procurement, Sourcing, Demand Planning, and Logistics departments in order to create a more lean and agile Supply Chain and to create a quality product that satisfies the customers current needs, while also creating a long term relationship. • Provided Procurement department with reports for chair parts forecasting, sourcing, and scorecards for 23 suppliers to achieve optimal lead times of 2-10 days.• Assisted on packaging audit project with the Quality department to identify root cause deviations in packaging for chairs.