Case Study: Nutrient achieves near-perfect forecasting accuracy with Discern

Nutrient cuts forecasting time by 80% with Discern

Nutrient, a document AI and workflow SaaS company, faced a significant challenge in unifying its sales forecasting after multiple acquisitions left it with fragmented data across several legacy CRMs. This resulted in a manual, time-consuming process for its revenue team. To solve this, Nutrient implemented the sales intelligence platform Discern to consolidate its data and automate its forecasting workflows.

By using Discern, Nutrient was able to create a single source of truth for its go-to-market organization. The results were dramatic, including an over 80% reduction in time spent on forecasting and an increase in forecast accuracy to within 10% of actuals. The implementation of Discern empowered Nutrient's leaders to make faster, data-driven decisions and provided the flexibility to rapidly integrate new acquisitions.

Nutrient