Forecast error reduced from 25% to 6%
- SECTOR
- Professional services
- SIZE
- 450 staff
- LOCATION
- UK
- SERVICE
- AI-Powered Intelligence →
THE CHALLENGE
Resource forecasts missed by up to 25%, leaving teams overbooked one month and idle the next.
WHAT WE DID
- 01Validated five years of timesheet and pipeline data
- 02Built an explainable demand forecasting model
- 03Surfaced forecasts and drivers in Power BI
- 04Set up monthly accuracy monitoring
“We finally trust the forecast enough to plan hiring around it.”
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