Service
Predictive Analytics (ML Models)
Forecast demand, spot issues early, and make data‑driven decisions.
What we build
- Forecasting models (sales, demand, volume, staffing)
- Anomaly detection (spikes, drops, unusual patterns)
- Segmentation and scoring (high‑value leads/customers)
- Dashboards and alerts for business monitoring
Best for
- Businesses with historical data in Sheets/CRM/DB
- Teams wanting better planning and reduced uncertainty
- Operations needing early warning signals
- Founders wanting a single view of KPIs
How it works
- Data review: identify data sources and quality
- Modeling: baseline → improved model with validation
- Deployment: automated runs + dashboard/alerts
- Iteration: monitor accuracy and improve over time
What happens after you book?
We confirm your use‑case, propose scope + timeline, and share the next steps. No technical knowledge required.
Note: GenAI usage charges (LLM/API tokens) and cloud infrastructure costs are billed to the customer.