AI Integration & Development Services for eCommerce

It depends which part of the journey is leaking money, so we start by measuring rather than guessing. Recommendation engines earn their keep when catalogue depth outpaces what shoppers can browse; AI search pays off when your analytics show people searching and leaving empty-handed.

Forecasting tools matter most when stockouts or overstock are eating margin, and assisted content tools matter when a small team is writing thousands of product descriptions by hand. We integrate platforms such as Klaviyo, Algolia, Adobe Sensei, Nosto and Bloomreach, plus the OpenAI and Vertex AI APIs for bespoke work — chosen against your numbers, not a vendor list.

By removing the friction between what a shopper wants and what your store shows them. AI search understands intent and typos, so fewer sessions end in a dead end. Recommendation models read live behaviour instead of static rules, so the products beside the fold are ones that customer might genuinely buy.

Lifecycle tools time their messages against real signals rather than a fixed schedule, and assistants answer sizing, stock and delivery questions the moment they would otherwise cause an abandon. Each is a small percentage; together, on a catalogue of any size, they compound.

It starts with an audit: your data quality, catalogue structure, existing integrations and where staff time is actually going. That audit decides scope — we would rather tell you one system is enough than sell you five.

From there we connect the chosen tools to your platform, map and clean the data feeding them, configure events and tracking, then run a measured pilot against a control so uplift is proven rather than assumed. You get documentation, your team gets training, and nothing is left as a black box only we understand.

More often than teams expect. Most platforms price on usage, so cost scales with the traffic and volume that justify it, and several capabilities are already included in tools you likely pay for today — Klaviyo and Adobe Commerce both ship AI features many merchants never switch on.

We sequence work so the first phase pays for the next: start with the one integration that addresses your biggest measured leak, prove the return, then expand. That is a very different budget conversation from replatforming.

Through APIs, catalogue feeds and event tracking — and the quality of those three is what decides whether the AI works. Adobe Sensei is native to Adobe Commerce; Algolia, Klaviyo and most recommendation engines publish extensions or SDKs for Magento, Shopify and BigCommerce.

Our work is the unglamorous part around them: clean product data, correctly mapped attributes, deduplicated customer identity, secure server-side credentials, and event schemas that stay stable when your theme changes. Models are only ever as good as the data you hand them.