See Around Corners with Predictive Analytics
Know what’s coming—sales, demand, churn—so you act before it happens.
What is Predictive Analytics?
Machine‑learning models that learn from your historical data to forecast future outcomes—no PhD required.
Why It Matters
- See Seasonalities: Surface predictable peaks and valleys so you plan inventory, staffing, and campaigns with eyes wide open.
- Inventory optimized: Cut stock‑outs by up to 25% (client avg, 2025).
- Revenue clarity: Hit targets with ±5% forecast accuracy.
- Customer love: Spot churn risk 60 days before they ghost you.
How It Works
- Select template – Sales, demand, churn, CLV.
- Auto‑train – Models learn, train & tune themselves.
- Validate – Back‑tests & explainability charts.
- Deploy – Predictions land in dashboards or get pushed via Reverse ETL.
Use Cases
- Forecast weekly SKU demand to optimize warehouse space.
- Predict upsell likelihood and prioritize CSM outreach.
- Estimate cashflow to plan cap‑ex with confidence.
Frequently Asked Questions
Q: Do I need data scientists?
A: No. Models are guided—yet fully editable for experts.
Q: How often do models retrain?
A: Default weekly; we can set any cadence or trigger.