CONSULTING · TECHNOLOGY · AI SUPPORT

E-commerce analytics. We'll help you implement the standards of the leaders

E-commerce leaders don't guess. Their edge is data in one place, decisions made on time and a team that watches over it. We bring that standard to your store: we combine a powerful analytics engine with AI support and a ready-made action plan. Stop analyzing chaos, start scaling profit.

Ilustracja: zespół analizujący dane w sali konferencyjnej

Trusted by, incl.

born2beDZIKUnitrailerCANAL+INGLOT
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We are a partner

Google Marketing Platform CertifiedGoogle Cloud Partner

The edge you can see

What does moving to “leaders' analytics” mean in practice?

See how removing manual work and data silos changes five key areas of your e-commerce.

01Data
Typical e-commerce
Rozproszone systemy bez połączenia

Data scattered across many systems. Reports built by hand, incomplete and late.

What changes
Leaders' analytics
Systemy połączone w jedno źródło danych

All data joined in BigQuery — one source of truth, always ready.

Automatic updates, with no manual joining or exports.

02Decisions
Typical e-commerce
Brak alertów i kontekstu

You spot problems after the fact. No alerts, no context, missed chances.

What changes
Leaders' analytics
AI wykrywa anomalie i alarmuje

AI detects anomalies and alerts you in real time.

You react immediately — before the problem hits sales.

03Customers
Typical e-commerce
Klienci traktowani tak samo

Every customer treated the same. No segmentation, no personalization.

What changes
Leaders' analytics
AI segmentuje klientów

AI segments customers and ties their value to acquisition costs.

Lists exported to Google, Meta and your ad systems.

04Products
Typical e-commerce
Promowanie asortymentu bez znajomości marży

Promoting assortment without knowing margins, while empty stock burns ROAS.

What changes
Leaders' analytics
System wie, które produkty promować

The system knows which products are actually worth promoting.

It combines margins, stock levels and ad data so you don't burn budget.

05AI
Typical e-commerce
Żmudne eksporty do AI bez kontekstu

Exports to AI are tedious and never repeatable. Context memory is missing.

What changes
Leaders' analytics
AI odpytuje dane przez MCP

AI queries the data through MCP — structurally, repeatably and with context.

The full power of your data in every query.

Two pillars of real change

Technology alone isn't enough. We combine an analytics engine with market know-how

Start with what you need more: a platform that organizes your data, or processes that teach your team to use it.

Foundation · Technology

An analytics engine for e-commerce — the WitCloud platform

We collect all your data in one place, connect and organize it until it becomes a single source of truth on your own Google Cloud project (BigQuery). The data is accessible and understandable for AI and ready to use in marketing and sales processes.

  • One source of truth instead of reports stitched together by hand from every system.

  • Data on your own Google Cloud project — always yours, ready for AI.

  • Hundreds of no-code integrations — GA4, Ads, Meta, Shopify, CRM in one place.

Advisory · How we work

Ready-made analytics processes — we teach you how to use them

We don't leave you alone with the technology. We get to know your e-commerce, decide where data delivers the fastest results, and implement repeatable processes — and we teach your team how to work with them. It's not a one-off analysis, but a way of working that stays with you.

Ilustracja: zespół przy tablicy z playbookiem analitycznym
  • We get to know your e-commerce and point out where data delivers the fastest result.

  • We implement repeatable processes — not a one-off analysis, but a way of working.

  • We teach your team how to use them — a skill that stays with you.

First-league experience

We've scaled analytics where data errors cost millions.

We didn't learn analytics from slides. Experience from dozens of e-commerce businesses, from mid-sized stores to market leaders, now works for your result.

Selected brands we've worked with:

OrangeUnitrailerNEONETNotinoMedia ExpertLPPSuperbetJDKiwi.comINGLOTeobuwie.plFriscoeMAGempikDZIKDBX BushidoCANAL+AZA GroupAllegroNexterio

Case study · Unitrailer

25 markets, 100 data sources. How Unitrailer turned chaos into fuel for growth.

A European leader in trailers and accessories. If we handle 25 markets and 100 sources — your 3 markets are standard for us.

Challenge

Expansion into 25 markets = nearly 100 different data sources. The team was drowning in manually stitching spreadsheets — analytical chaos was the bottleneck of every decision.

Solution

WitCloud connected all sources without writing code. 800 raw tables landed in BigQuery and one consistent report in Looker Studio — automatically, 24/7.

Result

Decisions in seconds, not days. The team stopped firefighting and started talking about “what's next” — from analyst-gatekeepers they became business partners.

25
markets
100
data sources
800
raw tables
1
automated report

Hundreds of data sources, one chat window. Analyze your business with AI 24/7.

“We can't live without this data.”

Bartosz Nawrocki · E-commerce Manager, Unitrailer

Let's see how close your data is to the leaders' standard today.

Leave your contact details and we'll show you how implementing the leaders' standards would work in your business reality. No pushy sales pitch — concrete and to the point. We usually get back within 24 hours.