For most of the last decade, AI in ecommerce lived in one place: the chat bubble at the bottom right corner of the storefront. It was the easiest place to instrument. Purchase decisions however happen elsewhere too.
They happen on the product page, in front of the shade swatches. They happen on the collection page, staring at eighty-seven sofas. They happen on the homepage, three seconds after a shopper arrives from a paid ad and decides whether to stay. Those are the moments that produce revenue. The chat bubble captures what comes after.
Today we are launching Alhena Embeddable Agents: a way to bring AI shopping experiences directly to the moments on your storefront where purchase decisions get made. Eeach deployable as a single snippet, each mapped to a specific placement on a specific page.
The shift that made this necessary
The research on where decisions get made got clearer. Baymard Institute, the independent authority on ecommerce UX, has been documenting for years what a decade of usability testing shows: the product detail page is where the purchase decision consolidates. Baymard also flagged the failure mode of the previous generation of AI shopping tools. Only 6% of shoppers sought out clunky "view in room" AR, and 87% of those who tried it declined to complete the flow. The demand for visualization was real. The interface was too much work.
Personalization became a durable growth advantage. McKinsey research has established that the fastest-growing companies drive roughly 40% more of their revenue from personalization than their slower-growing peers. That advantage compounds every quarter. The gap between brands that guide their shoppers and brands that leave them to browse is widening.
Together, both of these developments define a new baseline for what a modern storefront needs to do.
What we are launching
Alhena Embeddable Agents ship AI shopping experiences that live at the moment of decision. Each one deploys as a single snippet and is placed at one strategic location on your storefront.
Virtual try-on for apparel, eyewear, and beauty
Lives on the product page, near the main image and within reach of the add-to-cart button. Photo becomes a preview. Preview becomes a decision. Confidence at the moment of decision has measurable downstream effects on both revenue and margin.
See it in your room for furniture and home goods
Lives on the product page for big-ticket items. Solves the friction problem that killed the previous generation of AR: shoppers upload a photo of their space and see the piece rendered in it in one tap. On items where "will it fit?" is the last barrier to checkout, this experience earns its place next to the main product image.
Outfit builder for apparel
Lives beside the size selector on the product page, and again in the cart. Surfaces a coordinated look around the product being viewed.
A Total Economic Impact study commissioned from Forrester by Stylitics in 2023 modeled a 10% average-order-value lift and a 6x ROI for a composite retailer over three years. The mechanic works because the second item in the basket carries no acquisition cost. It is the cheapest revenue you will ever earn.
Room designer for home and luxury
Applies the outfit-builder mechanic to the larger unit prices of home. One sofa becomes a coordinated living room, styled instantly around the product being viewed. Lives on the product page and on collection pages.
Product quiz for homepages and landing pages
Lives on the homepage, on collection pages, and on paid-traffic landing pages. It is the guided-selling experience for the shopper who arrives without a specific product in mind. Sixty seconds of self-selection turns "I am just looking" into a clear path to purchase. It captures zero-party data along the way, which becomes useful long after the session ends.
Placement is the product
This launch is as much about placement discipline as it is about the experiences themselves. One hero experience per page. More modules on a page do not produce more revenue. They produce noise.
The rule we teach our customers is simple. Match the experience to the objection the shopper is silently working through:
- "Will it suit me?" points to try-on.
- "Will it fit my space?" points to room preview.
- "What goes with it?" points to outfit or room builder.
- "Where do I start?" points to the quiz.
Every agent we ship inherits Alhena's grounded response layer. This is the same architecture that powers our AI Shopping Assistant. It only recommends products you actually sell. It uses your live catalog and stock levels as the source of truth. It stays in your brand voice. Retailers who have invested years in a distinct identity deserve AI that respects those investments.
Getting started
The technical documentation for Alhena Embeddable Agents is live now at alhena.ai/docs/features/embeddable-agents. Setup on a Shopify store takes an afternoon. Configuration for a headless stack takes a little longer, and our solutions team is available to help.
For a live walkthrough of where each experience earns its keep, along with the underlying research, the full placement matrix, and the evidence rubric above applied to real vendor pitches, join us at the Alhena Live Lab on Thursday, July 23, at 11:00 AM ET / 8:00 AM PT. Bring your hardest questions to the Q&A.
The chat bubble had its decade. The storefront takes it from here.
