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    Driving Connected Trade Promotion Planning & Gross-to-Net Visibility RGM for a G

    Client: A Leading Sweden-based Global Plant-based Food Company
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    case study
    • Food And Beverages
    • Anaplan
    • Revenue Growth Management
    Problem Statement Problem Statement

    The client is a leading Sweden-based global plant-based food company managing trade promotions, rebates, accruals, pricing, settlements, and Gross-to-Net reporting across multiple regions, customer chains, business units, and product categories. As the business scaled, disconnected systems and spreadsheet-led workflows made commercial planning slow, fragmented, and difficult to govern.

    To solve this, Polestar Analytics implemented a connected Trade Promotion Management and Gross-to-Net planning solution on Anaplan, bringing promotion planning, pricing, financial reporting, accruals, and settlement workflows into one integrated planning ecosystem.

    Key Challenges Key Bottlenecks
    • Disconnected demand planning, pricing, promotions, and finance systems
    • Limited real-time visibility into Gross-to-Net performance and promotional spend
    • Manual booking, rebooking, reconciliation, and settlement processes
    • Complex planning across SKUs, customers, regions, currencies, and forecast versions
    • Frequent version mismatches and delayed commercial performance visibility
    • Weak governance, approval controls, auditability, and SOX-compliant tracking
    Solution ImplementedSolution Implemented
    • Implemented a connected Trade Promotion Management and Gross-to-Net planning solution on Anaplan to unify promotion planning, pricing, accruals, settlements, and financial reporting
    • Centralized promotion workflows across approvals, fixed/variable promotions, rebates, listing fees, project-based tracking, and Gantt-based monitoring
    • Built automated Gross-to-Net reporting across Forecast, Budget, Actuals, and Actual + Forecast views for improved financial visibility
    • Integrated D365, Anaplan Demand Planning, Data Lake, and Power BI to enable real-time data flow and reduce manual dependencies
    • Automated settlement feeds, accrual balance feeds, booking/rebooking file generation, pricing, COGS, contribution margin, and SKU-level profitability visibility
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    Business Impact
    • 600K in savings achieved by reducing obsolete inventory across the organization’s operations
    • 60% reduction in manual effort across booking, rebooking, reconciliation, and settlement workflows
    • 40% faster planning and reporting cycles for commercial and finance teams
    • 25% improvement in promotional spend visibility and tracking accuracy across customer, SKU, and regional hierarchies

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