Tungsten Automation achieves 95%+ forecast accuracy and 136% increase in won revenue with Clari
Tungsten Automation ran forecasting in spreadsheets with no ability to retain historical data or deal progress, creating disparate visibility and accountability across the revenue organization.
Spreadsheet-based forecasting took an entire day per cycle, raised accuracy concerns when consolidating data from multiple systems, and left the team with no trending activity view and blind spots around AE activity.
Tungsten Automation achieved 95%+ forecast accuracy and a 136% increase in won revenue, with accuracy improving to within 5% in the first quarter and one manager saving a full day of work from every two-week forecast cycle.
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Frequently asked questions
What did this team achieve with this AI workflow?
Tungsten Automation achieved 95%+ forecast accuracy and a 136% increase in won revenue, with accuracy improving to within 5% in the first quarter and one manager saving a full day of work from every two-week forecast…
What tools did this team use?
Clari.
What results were reported?
Forecast accuracy: 95%+; Won revenue increase: 136%; Forecast accuracy within first quarter: within 5%; Time saved per forecast cycle: a full day of work from every two-week forecast cycle (source-reported, not independently verified).
What failed first in this deployment?
Spreadsheet-based forecasting took an entire day per cycle, raised accuracy concerns when consolidating data from multiple systems, and left the team with no trending activity view and blind spots around AE activity.
How is this sales ops AI workflow structured?
Multi-system data roll-up → Pipeline visibility dashboard → Forecast call with AEs → Acquisition systems integration.