brauniq.
HUEN
Your numbers turn into decisions

Data analysis and predictive AI

Predictive analytics uses the data you already have to forecast demand, churn and stock, and shows it on a dashboard you can read. For Hungarian SMBs, without a data science team.

Data analysis and predictive AI
What you get

Not a partial job, a working system

At most Hungarian SMBs the data sits in the invoicing tool, the webshop and Excel, and nobody asks it what happens next month. From the numbers you already have, we build forecasts, alerts and a dashboard you'll actually use. You need a clear business question, not a team of data scientists.

  • Demand and sales forecasting
  • Customer churn prediction
  • Interactive dashboards
  • Anomaly detection
Why it pays off

What we do differently

01

See ahead, don't explain afterwards

Demand, stock, revenue: the forecast shows a trend change before the monthly close does, so you make the decision instead of measuring the damage.

02

Your existing data is enough

No new system needed. Invoicing tool, webshop, CRM, even Excel sheets: we connect and clean them, and the data works for you.

03

Clear, not academic

A dashboard, not a statistical report: one glance in the Monday meeting shows what to watch, while the decision stays with you.

04

Alerts before trouble starts

Anomaly detection flags an unusual cost, a regular customer quietly drifting away, odd stock movements, so you don't have to spot them.

Typical situations

What it's most often used for

Webshop stock planning with seasonal demand forecastingEarly warning of regular customer churnCash flow forecasting from invoicing dataUncovering patterns in manufacturing scrap ratesMeasuring campaign spend return by channelAutomatic alerts for unusual spending
The process

How we work together

  1. Assessment

    We map your processes and find where your business loses the most time and money. We don't build blind: every decision rests on data.

  2. Planning

    We design a specific solution with measurable goals and a clear timeline. You know up front what you get, at what cost and by when.

  3. Development

    We build the system and adapt it to your own processes. We work in short cycles, so you see progress all along.

  4. Operation and support

    We take the system live, train your team, and then operate and support it.

FAQ

What's worth knowing up front

How much does a predictive analytics project cost?

A focused project starts from a few hundred thousand HUF, which typically buys a working forecast and dashboard for one specific question, such as demand or churn. We fix the price after the assessment, so there are no surprises. It's worth starting small: a well-targeted pilot tells you more than any quote.

When will I see results?

The first working version usually takes weeks, not months, and the exact timeline mostly depends on the state of your data. We don't keep you waiting six months for a big reveal: we show tangible partial results early. Forecast accuracy then keeps improving over time as data builds up.

What if my data is spread across several systems and messy?

That's the typical starting point, not a dealbreaker. The first step of every project is connecting and cleaning the data: invoicing tool, webshop, CRM and even Excel sheets all make a good base. You don't need to switch systems: we connect to what you have through an API or an export.

Is my business data safe?

Yes. Your data stays yours, and we set out in the contract exactly what we use it for, in line with GDPR. If the data is so sensitive that it can't leave the company, we build the system on your own server with self-hosted models.

Let's talk about how it would work for you.

The first assessment is free. We go through your processes and tell you where to start, with no obligation.