rabbhit
Part of AI Solutions

Predictive Analytics

Forecast demand, detect anomalies, and surface insights from data you already have.

What's included

What you get

Data readiness assessment — what you have, what's missing

A working predictive model for your defined use case

Integration into an existing dashboard or a simple new one

Model performance report in plain-English terms

Documentation of assumptions and known limitations

A monitoring and retraining plan to keep it accurate over time

Not included (available as add-ons)

Ongoing model retraining and monitoring (separate retainer)Large-scale data pipeline / warehouse build-outReal-time streaming inference infrastructure

Investment

From €4,000

A realistic starting point for the smallest sensible version of this project — not a fixed quote.

What moves it up the range

  • Data readiness and cleanliness
  • Number of models or forecasts needed
  • Integration into existing dashboards/tools
  • Ongoing retraining and monitoring needs

These are starting prices, not fixed quotes. We scope every project to match your actual budget — the final number depends on what you need built.

How it works

Our process

01

Assess data

Understand what data you actually have and how usable it is.

02

Build & validate

Train a model against your real data, not a generic benchmark dataset.

03

Integrate

Wired into a dashboard or tool your team already checks.

04

Monitor

A plan for retraining before accuracy quietly degrades.

Questions

Predictive Analytics — frequently asked

What if my data is messy or incomplete?

Data readiness is assessed first, and it's one of the biggest pricing drivers — cleaning and structuring the data is often more work than the model itself.

How accurate will the predictions be?

We report model performance in plain terms against your real data, and flag known limitations honestly rather than overselling accuracy.

Do you handle ongoing retraining?

It's not included in the initial build, since a model that isn't retrained degrades over time — we set up a monitoring plan and can take this on as an ongoing engagement.

What kind of business questions can this answer?

Demand forecasting, churn risk, anomaly detection and similar pattern-based questions — we'll tell you honestly if your use case isn't a good fit for predictive modelling.

Technologies used

Pythonscikit-learnPostgreSQLPandasAWS

Get started

Ready to get this right?

Book a free 30-minute call. We'll review your situation and give you honest advice — no pitch, no commitment.