Retail & E-commerce

Through the interfaces your platform already exposes, with no migration and without replacing your product management, your CRM or your customer data tool. The analysis layer sits alongside and reads what it needs. What takes time is almost never the connection: it is the state of the catalogue. Missing attributes, duplicates, reference data that diverges between the site and the store, that work determines the quality of everything downstream, and it is worth looking at before picking a model.

Three things. Saying it is a machine, which the European AI regulation has required since 2 August 2025 for systems interacting with people. Letting customers reach a human without an obstacle course. And keeping a record of what was told to the customer, because an assistant that describes a product badly commits the seller exactly as an adviser would. A conversational agent falls under limited risk, not high risk: the obligations are about transparency, not certification.

It depends on your starting point, and we would rather say so than publish a conversion range that supposedly holds for everyone. The method matters more than the promise: measure on a share of traffic against a control group, over a period covering at least one full purchase cycle, and look at margin rather than conversion alone. Personalisation that lifts conversion by pushing the lowest-margin items improves a dashboard and degrades a P&L.

Framing takes 2 to 6 weeks depending on scope and the number of systems to connect. A first version tested on one category or funnel follows in 4 to 10 weeks, depending on the state of your catalogue, which is almost always the deciding factor. Extending across the whole catalogue, including team training, runs to 3 to 6 months. These ranges are the ones we apply everywhere, and each comes with what makes it vary.

In batches, with validation rules written before the first generation: length, tone, prohibited vocabulary, mandatory statements by category. Generated content is checked automatically against those rules, then a sample goes to human review, at a proportion you set. Throughput depends on your volumes and your inference budget, and we measure it on a pilot batch before quoting a rate, a figure published without your catalogue behind it means nothing.

Wherever you decide, and that sorting comes before the hosting choice. An open-weights model operated in sovereign cloud handles the majority of cases, from product copy to recommendation. An external call remains possible for uses that warrant it, under a processing agreement with guaranteed data residency. The simple rule: anything that identifies a customer does not leave your perimeter by default, and each exception is decided rather than discovered.