AI that lifts conversion, not just adds a chat widget.
Product recommendations, AI search, and support automation built directly into your storefront, by engineers who've also shipped the Shopify and Hydrogen storefronts these systems have to live inside, so nothing feels bolted on.
Same vetting bar either way, whether we staff the project or fill the seat. See the rubric
Personalization models grounded in your real catalog and purchase data.
Natural-language product search that actually understands intent.
Order status, returns, and FAQ handled without a human, most of the time.
AI-assisted listing copy and catalog tagging at scale.
What we build most for ecommerce teams.
Personalization engines trained on your real catalog and purchase history, grounded recommendations, not generic 'customers also bought' logic.
Natural-language and semantic search that understands intent ('waterproof jacket under $150') instead of exact keyword matching, wired directly into your storefront.
Order status, returns, and FAQ handling that resolves the repetitive majority of tickets automatically, with clean handoff to a human for anything else.
AI-assisted product description generation and catalog tagging at scale, kept on-brand through fine-tuning on your existing copy.
Current tools, not last year's.
Shipped, not slideware.
Headless storefront rebuild
A headless Hydrogen migration that cut page load and lifted conversion, the storefront foundation AI features like this build on.
On camera, in their own words.
Why he brought his development work to Code Elevator.
Scoped fast. Shipped on a real timeline.
Building something adjacent?
Answered before you ask.
When they're grounded in your real catalog and purchase data, yes, reliably. Generic, ungrounded recommendation widgets are the ones that underperform, and we measure against your pre-launch baseline to prove the lift, not assume it.
Yes. These features are built to integrate into your existing storefront's design system, not to look like a third-party widget dropped on top.
For most stores, order status, shipping, and returns questions are the bulk of ticket volume and are well-suited to automation. We'll size the realistic percentage against your actual ticket data before committing to a number.
Both, if needed, the same team builds Shopify/Hydrogen storefronts and the AI layer on top, so there's no integration gap between two separate vendors.
Every way out of this build is already written down.
Code, prompts, models and pipelines: all work-product IP assigns to you by contract from day one, not on final payment.
Nothing is locked to us or to a proprietary platform you can't leave. You get the repository, the documentation, and full access.
Bring us the storefront. We'll tell you what's realistic.
Recommendations, search, or support automation. We'll ship it into your actual storefront, measured against a real conversion baseline.
We reply within an hour during our working day in India and the UAE.