Allovir, Inc. is a biotechnology firm whose mission is to prevent and defeat life-threatening viral diseases. Their approach involves the restoration of viral immunity through the adoptive transfer of VSTs that have been prospectively generated from healthy, eligible donors and are available on-demand for off-the-shelf therapy.
Business Challenges
- Manual, Excel-Heavy Forecasting: All financial forecasts (P&L, Balance Sheet, and Cash Flow) were created through time-consuming copy/paste
processes in Excel, increasing the risk of errors and inefficiencies. - Rigid Structure Limitations: As Allovir evolved, changes to their Chart of Accounts exposed the inflexibility of their legacy tools to adapt quickly
to new structures. - Labor-Intensive Data Entry: Forecasting required manual inputs by GL account every month, reducing time available for analysis and decisionmaking.
- Limited Use of Drivers: Forecasting lacked automation and accuracy due to the inability to leverage key business drivers.
- Early-Stage Challenges: As a pre-revenue organization with significant R&D expense and a pending ERP transition, Allovir needed a scalable
planning solution that would grow with them.
Solution
- Accelerated Implementation: Deployed Peloton’s Anaplan FP&A Accelerator to enable rapid deployment of effective, scalable forecasting
processes and standardized financial reporting. - Driver-Based Forecasting: Integrated key drivers into forecast models, reducing manual effort and increasing planning accuracy.
- Structural Flexibility: Built models that accommodate changes to Chart of Accounts and other organizational structures, allowing Allovir to
adapt quickly. - Shareable, Consistent Reporting: Enabled the generation of standardized reports that can be easily shared across internal and external
stakeholders. - Prepared for Growth: Established a foundation for scalable planning to support Allovir’s evolving business and future ERP integration.
Impact
- Reduced Manual Effort: Significantly decreased reliance on Excel and manual inputs, freeing up time for analysis and strategy.
- Enhanced Planning Accuracy: Introduced automation and best practices through driver-based forecasting and flexible model design.
- Improved Agility: Enabled quick structural updates to reflect organizational change, such as Chart of Accounts revisions.
- Scalable Infrastructure: Provided a future-proof solution capable of evolving alongside the company’s growth, complexity, and ERP landscape.
