Case Study: immi achieves more accurate forecasting and saves 20 hours a month with Drivepoint

immi saves 20 hours a month and cuts forecast variance by 50% with Drivepoint

immi, a food and beverage company that reinvented instant ramen, faced significant challenges with financial forecasting and modeling after its Series A round. Its co-founder was spending up to 20 hours monthly on manual spreadsheet work, and an outsourced CFO service failed to provide the sophisticated, precise modeling needed for inventory management and investor reporting. They turned to Drivepoint for its FP&A software built for consumer brands.

Drivepoint implemented its solution, offering features like easy accounting integrations, cohort-level forecasting for eCommerce, and cloud-based version control for model scenarios. This allowed immi to update historical data automatically and run accurate forecasts in minutes. As a result, immi saved 20 hours per month, saved approximately $150,000 versus hiring an in-house CFO, and decreased its monthly budget variance by 50% due to increased forecasting accuracy.

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