CPFR

Job Description

One of your main responsibilities will be suggested purchases by SKU/store, inventory distribution by SKU/store, and account consolidation by model. Seasonality analysis.

• Sell-in and sell-out statistics

• Identify opportunities and exceptions in the forecast.

• Sales/CPFR forecast for sell-out.

• Sales/CPFR forecast for sell-in.

• Demand Planning forecast input.

• Accuracy of actual sell-out versus statistical forecast and sales forecast (forecast accuracy).

• Establishing target percentage of in-stock at the account/category level.

• Defining scope.

• Analyzing item/store combinations to ensure optimal in-stock levels.

• Creating suggested purchases by item/store.

• Achievement of target % Instock 7 days (14 days for 15-day orders). Review of product availability for purchase orders (replenishable items). • Replenishment proposal. • Follow-up on the generation of replenishment purchase orders. • Support with purchases due to delays in purchase order placement. • Communication of purchase orders for replenishable items. • Validation of the correct flow of purchase orders. • Changes due to errors in barcodes/prices. • Validation of purchase order distribution (Distribution by purchase order/store/product) (all products). • Provide internal visibility of the preliminary weekly % Fill Rate. • Follow-up on the actual % Fill Rate with the client. • Scorecards • JBP Dashboard • Consolidated historical sell-out for the last 3-4 years • Suggested purchase and distribution. • Download SUPPLY PLAN – Client Portals • Tracking of indicators (overdemand or (On demand) · Management of pharmacy chain portals and/or assigned clients · Meetings are held with sales and demand planning to provide visibility of stock levels and ensure proper supply and forecast accuracy · Review product coverage for the month +1 · Provide visibility of expected purchase orders (forecast sell-in) for the month · Identify risks according to the new sales forecast · Provide visibility of orders placed by clients

Qualification and Experience

Bachelor's degree or currently enrolled in a degree program in Industrial Engineering, Logistics Engineering, Business Administration, Economics, or Actuarial Science. Advanced Excel courses required.

2 years of experience as a CPFR or data analyst.

Sales experience required.

Competencies