Predictive marketing

Predicts and recommends inside your systems.

We have spent years building customer data software. It predicts who will buy and what, recommends one to one and writes the result into the CRM and the store you already have.

Not a product you have to learn to operate. It is what keeps you from starting from scratch.

We have spent years putting AI into production for companies that cannot afford for it to fail.

AWS technology partner

What it is

From your data to your channels, in four steps.

One profile per customer, built from what you already store. On top of it, the models. And back into the systems where you already work.

Sources ERP, CRM, ecommerce and documents, as they are today.
Single profile One customer, one record, even if the data lives in four systems.
Models Predictive and generative, on your data.
Activation Back into the CRM, the store and the sending channel.

Integrates with

PrestaShop and Shopify integrate through a native module, installable from the store itself. The rest through REST API and JavaScript SDK, with response times under 100 ms.

Predictive models

What each customer will do.

See these cases

They are trained on your history, recalculate on their own and write the result into each customer’s record. Three are standard; the fourth is trained for the question you have.

How much they will spend in total Customer lifetime value: what they will bring in while they remain a customer, if nothing changes. It shows who is worth retaining and where not to invest.
How often they buy again The consumption cycle: in which week they will need it again. This is where sends that arrive on time come from.
What they will buy next time Purchase propensity: which categories are likely to be in the next order and which are not.
Whatever you want to predict Custom models, trained for a question specific to your business. They start from the same history as the other three.

Recommendation networks

What to show each person.

See the store cases

Neural networks trained on real purchasing behaviour. They decide which products each person sees in the store, in the app, in the newsletter and in automated sends.

One to one That person’s products, not the average’s.
Product to product What gets bought together with what they are looking at.
One-to-one ranking The same listing, ordered differently for each visitor.
Bestsellers The default for first-time visitors.

In production

Where it is running.

See all projects

The four layers running together on each company’s systems. Each project has an article on what was implemented and the results: that is where the figures this page does not publish can be found.

Online grocery Condis Real-time personalisation in the store and in their CRM communications. See the project

CRM and personalisation Norauto Predictive models connected to their CRM operation, without changing systems. See the project

Ecommerce Real Sociedad One-to-one personalisation in their store, on their own member base. See the project

Loyalty Flormar Their customer club managed with predictive AI: more repeat purchases and a higher average ticket. See the project

See the partner and integrator network

The other three services

AI implementation From the first case until the team runs it on its own. Training Your team learns on your own cases. Custom development We build what is needed when it does not exist.

See the technical detail and the solutions catalogue

Does it fit your business?

Tell us which systems you have and what you want to achieve. We will tell you whether the platform shortens the path, and if it is not worth it, we will tell you that too.

Write from the full form

No commitment You talk to the person who will do the work If it does not fit, we tell you

Frequently asked questions

What people ask before deciding.

Do we have to migrate our data?

No. The platform reads from your systems and writes back into them. Nothing moves and nobody changes tools.

Are the models yours or a third party’s?

The predictive models and the recommendation networks are ours, trained on your data. For generative tasks we use the models available on the market.

Can we use only part of it?

Yes. Some clients only enrich the CRM and others only personalise the store. The four layers are not sold as a bundle.

What if our store is not on the list?

It integrates through API and SDK, like any other development. The native module saves the integration work, but it is not the only way.

Can we buy the platform without a project?

We do not offer it as self-service: there is always someone on our team accountable for the result. What you do not need is to hire a specific service to be able to use it.