Sales forecasting
Predict future revenue by product/region/rep using statistical or ML models.
-30%
forecast error reduction
The problem
No reliable steering on sales forecasting.
The current process is manual or inconsistent.
Decisions come too late due to weak signals.
Sales performance is hard to steer.
Prerequisites: required data & tools
Required data
- Sales history
- pipeline CRM
- saisonnalité
Compatible tools
- Prophet
- ARIMA
- Power BI
- Tableau
Not sure you have the data? Our Maturity Auditor can assess your situation in two weeks.
Explore the Maturity Auditor →What we implement in 3-6 months
In 3-6 months: Predict future revenue by product/region/rep using statistical or ML models. with measured impact on forecast error reduction.
Weeks 1-2
Diagnosis
Weeks 3-6
Build
Week 7+
Delivery
Concrete deliverables
Business framing and decision rules for sales forecasting
Operational engine for sales forecasting
Steering dashboard with alerts
Action playbook and governance
Expert insight
Highly requested by leadership. Typical forecast error reduction of 20–40%.
For sales teams looking to go further, our solution Haliro.io automates prospecting and sales intelligence with AI.
— Datasive, expertise terrain
Tech maturity
High
Mature solutions, fast deployment
Medium
Maturing tech, requires customization
Emerging
Cutting-edge innovation, R&D approach
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Pick the fastest path to move this use case forward.
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First step: a 30-minute call to understand your context.