Rapidly-growing, publicly-held American biotechnology company advancing human health and pioneering the future by harnessing technology.
Business Challenges
- Manual and Disconnected Planning: Demand planning relied on spreadsheets and lacked integration across Sales, Finance, and Supply Chain.
- Limited Forecast Accuracy: No statistical forecasting foundation or ability to reconcile inputs from commercial, financial, and operational teams.
- Inflexible Reporting & Analysis: Existing tools did not support dynamic reporting or drill-down analysis across products, regions, or periods.
- Resource Constraints: Teams had difficulty tracking labor and inventory constraints against demand plans.
- Siloed Incentive Compensation Process: No centralized system for managing commission calculations, reporting, and approvals.
Solution
- Anaplan Demand Planning Implementation: Built a scalable consensus demand plan combining sales, statistical, customer, and financial inputs at the SKU level.
- Commercial & FP&A Enhancements: Deployed dashboards for revenue, COGS, P&L variance, and quarterly reporting; enhanced depreciation and workforce tracking.
- Incentive Compensation Model: Modeled quota-based commissions, configured payee dashboards, and built payroll/accrual exports with workflow.
- Build Plan Modeling: Aligned SKU-level demand with labor and inventory constraints to generate monthly operational plans.
- Data Integration: Connected Anaplan to SAP and Snowflake via a central Data Hub using flat-file loads for Phase 1.
Impact
- Increased Forecast Accuracy & Planning Efficiency: Replaced manual spreadsheets with driver-based models and statistical forecasts, improving accuracy and significantly reducing cycle time.
- Aligned Cross-Functional Planning: Integrated Sales, Finance, and Supply Chain into a unified planning process, enhancing visibility and collaboration across departments.
- Enabled Scalable, Data-Driven Decision Making: Established a flexible platform that supports scenario modeling, automated reporting, and ongoing growth without adding operational burden.
