ai — Quantum Reach

Predictive Analytics Dashboard

A real-time analytics platform with predictive modeling that helped a SaaS company reduce churn by 34%.

The Challenge

What they faced.

Quantum Reach had data everywhere but insights nowhere. Their SaaS platform generated millions of data points daily, but the team was making decisions based on month-old reports and gut feelings. Churn was climbing and they couldn't identify at-risk accounts until it was too late.

We built a real-time analytics platform that ingested data from their application, billing system, and support tickets into a unified data pipeline. The predictive churn model analyzed usage patterns, support interactions, and billing signals to flag at-risk accounts weeks before they would cancel.

The dashboard gave every team — product, sales, and customer success — actionable insights tailored to their role. Custom alerts triggered automated outreach campaigns for at-risk segments.

Our Approach

How we solved it.

The Solution

What we built.

Technology

Built with.

PythonPostgreSQLRetoolOpenAICustom ML ModelsNext.js
The Results

Measurable impact.

0%

Churn Reduction

Within first quarter

0K

Revenue Saved

From prevented cancellations

0days

Early Warning

Average advance notice of at-risk accounts

0%

Prediction Accuracy

For churn risk scoring

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