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    Driving 95% Forecast Accuracy in Spare Parts Planning with Anaplan: A Global Appliances Manufacturer's GCC Success Story

    Client : A Leading Global Appliances Manufacturer
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    case study
    • Consumer Durables
    • GCC
    Problem Statement Problem Statement

    The client is the GCC of a leading global appliances manufacturer, responsible for spare parts planning, after-sales service, and inventory optimization across multiple regions.

    With thousands of SKUs and highly variable, long-tail demand patterns, the existing planning approach struggled to ensure forecast accuracy, optimal inventory levels, and timely fulfillment. Limited visibility, manual processes, and disconnected planning workflows led to inefficiencies in service levels, inventory utilization, and decision-making. .

    Key Challenges Key Challenges
    • Volatile and unpredictable demand across spare part SKUs, impacting forecast accuracy
    • Complex mapping between finished goods and spare parts due to evolving BOM structures
    • Inventory imbalances with excess stock in slow-moving items and risk of obsolescence
    • Inefficient stock distribution and replenishment due to multi-warehouse and supplier variability
    Architecting with the Best Tech Stack
    • Anaplan Logo
    Solution ImplementedSolution Implemented
    • Implemented a connected spare parts planning solution on Anaplan
    • Enabled main-to-spare demand linkage to improve demand translation and forecasting
    • Provided SKU-level visibility across demand, inventory, and warehouse dimensions
    • Deployed dynamic inventory optimization with safety stock and Min/Max policies
    • Automated planning workflows with order recommendations and exception management
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    Business Impact
    • 18% improvement in service levels, ensuring higher spare parts availability
    • 15% reduction in obsolete inventory, improving working capital efficiency
    • 45% faster planning cycles, enabling agile and responsive decision-making
    • 12% reduction in premium freight costs through better planning accuracy
    • 95% forecast accuracy for spare parts planning

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