Sales forecasting, churn prediction, lead scoring, and BI dashboards — AI models trained on your data that tell you what's coming, not just what happened.
Predict monthly and quarterly revenue with ML models trained on your CRM pipeline, seasonality, and deal velocity data.
Identify customers likely to leave 30–90 days in advance — and trigger retention workflows before you lose them.
Score every lead by conversion probability using behavioural signals, firmographic data, and historical patterns.
Real-time business intelligence dashboards connecting CRM, sales, operations, and finance data in one view.
IZAAP builds ML models trained on your historical CRM data — deal stages, conversion rates, seasonality, rep performance, and deal size. The model predicts close probability and revenue per period, updating as pipeline changes.
Typically 6–12 months of historical data from your CRM, sales system, or spreadsheets. The more data, the better the model. IZAAP also uses external data (market trends, public signals) when internal data is limited.
Yes. IZAAP scales models to data availability. For smaller datasets we use lightweight models and API-based AI (OpenAI, Gemini) with prompt-based reasoning rather than custom trained models — still delivering actionable predictions at lower cost.
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📞 Call us now: +91 74280 94109 · ✉️ info@izaaptech.com