ANALYTICS IN YOUR INDUSTRY

Digital commerce & omnichannel brands

Connect online demand, product availability and market context to understand the full commercial picture.

A practical scenario

Explore online demand alongside product availability, customer cohorts and channel activity. Investigate repeat purchases, complementary baskets and market position. Where tracking permits, add conversion and acquisition analysis to understand which journeys create lasting customer value and where useful context is missing.

01

Connect the data

Product catalogs, orders, stock, customer history and available market comparisons.

02

Discover the signal

Compare price position, assortment coverage and complementary purchases.

03

Improve the decision

Test a focused catalog, conversion or customer-retention improvement against a defined baseline.

✳
Questions worth asking

Which promising product combinations are undermined by price or availability?

Actual application interface, presented with synthetic demonstration data. English presentation where available.
Capabilities

Find the value hiding in your data.

01 /

Customer 360 & cohorts

Explore customer trends, product groups, purchase rhythm, collection history, retention cohorts and reactivation opportunities from one analytical perspective.

02 /

Basket patterns & cross-selling

Inspect product associations, support, confidence and lift. Find groups purchased by similar customers and missing from a target account.

03 /

Sales performance & growth drivers

Compare customer groups, products, channels and periods to understand where growth comes from and which changes need a closer investigation.

04 /

Segmentation & anomalies

Group customers by behavioral signals and inspect unusual records or discounts. Use the result to prioritize investigation, not to assume causation.

Continue exploring

Every part of your business has a story to tell.

NEOBIQ / NEXT

What is your data trying to tell you?

A hidden opportunity. A recurring cost. A change in customer behavior. Invest in your data and turn the question that matters into an investigation you can act on.

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NEOBIQ

Before we begin

How do we turn data into business value?+

Start with a decision you want to improve. We map the relevant data, define a measurable indicator, establish a baseline and test an initial analysis. The first useful insight becomes the foundation for the next step.

Can we explore data we do not analyse today?+

Yes. People, project, customer and product data can become new analytical use cases through the appropriate integrations and models. We agree the scope and validate the results with the people who understand the business.

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Inside the application

Actual application interface, presented with synthetic demonstration data. English presentation where available.