Introduction Scan features Working capital reduction Product availability The supply chain paradox SKU classification and product life cycle management Safety stock and excess stock Smarter replenishment Inventory Optimization Recommendations The DSV Inventory Scan process Identifying opportunities for improvement Scan features DSV Inventory Scan at a glance: A powerful collection of dashboards visualizing your inventory data Over 20 visualizations aimed at diagnosing any potential inventory management issue 95% of the data comes from the WMS; very limited additional data required Main metrics scanned Order activity. Total number of orders per year, quarter, month, week, day and hour, visualizing volatility and trendlines. Any wms/erp CargoWrite Order composition. Breakdown of total number of orders and orderlines on weight, volume, number of lines per order and the number of items per orderline including the evolution of a particular order type over time (e.g. a growing percentage of 1-line orders). ABC analysis . A methodology that ranks all SKUs by the number of orderlines they generate. All A-class SKUs combined generate 50% of the orderliness, B-class SKUs generate the next 50% to 80% of the orderlines. The remaining C-class SKU’s generate the last 20% of the orderliness. As a rule of thumb; if the number of SKU’s in the C-class is higher than 80% of the total number of active SKU’s, this needs further investigation. Data fields that are not included in our WMS but that are required for a complete Inventory Scan are Must have: SKU value (retail, cost or even a fictitious value) Very useful to have: Order lead time per SKU Minimal order quantity per SKU Quantity on order Quantity on open sales order Purchase order date per inbound order Inventory Scan Click image to enlarge
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