Data Intelligence — Qynova.ai

What it is

Stop guessing. Start knowing.

Data Intelligence means turning the raw numbers your business already collects into clear, actionable insights — automatically, in real time, without needing a data science team.

We build AI pipelines that connect your data sources, spot patterns humans would miss, and send you the right information at the right time.

Common uses

Dashboards that update automatically with live business data
Alerts when sales, traffic, or key metrics drop unexpectedly
Predicting demand so you never over or under-stock
Spotting which customers are likely to churn before they do
Understanding what marketing channels actually drive revenue
Weekly AI-written summaries of your business performance

Real impact

Before & After

Here's what changes when your data actually works for you.

Sales Performance Reporting

Regional sales team — weekly reporting process

Before

Manager spends Fridays manually building reports in Excel

Data pulled from 3 different tools by hand

Reports arrive Monday — decisions made on last week's data

No alerts when something goes wrong mid-week

After

✓

Live dashboard updates automatically throughout the week

✓

All data sources connected and synced in one place

✓

Manager makes decisions with data that's hours, not days, old

✓

Instant alert if any metric drops below target

Inventory & Demand Forecasting

Product company — 300 SKUs, seasonal demand spikes

Before

Ordering based on gut feel and last year's numbers

Frequent stockouts during peak seasons

Overstocked on slow-moving items — cash tied up

No visibility into which products drive the most profit

After

✓

AI forecasts demand per product using historical patterns

✓

Stockouts reduced by 70% in the first quarter

✓

Overstock cut in half — cash freed up for growth

✓

Clear view of margin and profitability per SKU

Customer Churn Detection

Subscription business — 2,000 active subscribers

Before

No way to know a customer is unhappy until they cancel

Retention team reaches out after cancellation — too late

Monthly churn rate climbing with no clear cause

Expensive to reacquire lost customers

After

✓

AI flags at-risk customers 30 days before they typically churn

✓

Retention team reaches out proactively with targeted offers

✓

Churn rate drops 35% within 3 months

✓

Clear understanding of why customers leave — and how to fix it