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How Valen Works: The Customer Journey Step by Step

A step-by-step look at how Valen works, from the moment a customer enters the store to the product page, using capabilities shown on a demo store.

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Valen is the agentic storefront that adapts your ecommerce in real time to what each customer is looking for.

This page follows the customer's path, from the moment they enter the store to the product page. It also shows what the merchant sees along the way.

The starting point: what the customer is looking for

A shopper enters a store with an idea, and the idea is often incomplete. They may want a specific product, some inspiration, or an answer to a doubt about size, material or pairing.

Traditional sites offer the same menus and filters to someone who knows exactly what they want and to someone who is just exploring. A shopper who cannot find what they need quickly tends to leave the page.

The journey starts in the conversation. The Valen chat is available on both mobile devices and desktop computers while browsing the store, as demonstrated on a demo store.

Shoppers can also speak their requests instead of typing them, as demonstrated on a demo store.

How Valen interprets the request

Once the shopper writes, Valen leads the conversation through a model that guides how the exchange unfolds, as demonstrated on a demo store.

Inside the conversation, a shopper can do two main things:

  • Search the store catalog, as demonstrated on a demo store.
  • Ask questions about products, as demonstrated on a demo store.

Shoppers write in their own words. Valen recognizes, from the free-form text a shopper writes in the conversation, the intent to try a product on, as demonstrated on a demo store.

The merchant side: the catalog

For the merchant, the starting point is the catalog. Valen imports the product catalog from a Shopify store, as demonstrated on a demo store.

Valen also completes and enriches the attributes of catalog product listings, as demonstrated on a demo store.

How the store adapts

A behavior-scoring engine adapts the store interface based on visitor browsing behavior, as demonstrated on a demo store.

Valen includes a behavior engine that each store can enable to take visitor behavior into account, as demonstrated on a demo store.

To read behavior, Valen records sessions and events from visitors to the store, as demonstrated on a demo store.

Proactive suggestions

A conversation does not have to start with a question. Valen can offer store visitors a suggestion on its own initiative, without waiting for the customer to ask, as demonstrated on a demo store.

Valen shows shoppers proactive nudges in response to a range of behavioral signals, as demonstrated on a demo store.

During the conversation, Valen coordinates the sequence in which anticipation, content reveal, call to action and badge elements appear, as demonstrated on a demo store.

An icon in the store can be animated with a bouncing effect, as demonstrated on a demo store.

Control for each store

Valen keeps a registry of features that can be enabled separately for each store, as demonstrated on a demo store.

Valen also manages multiple distinct stores with dedicated spaces, as demonstrated on a demo store.

From discovery to purchase

The journey runs through the real pages of the store. Valen integrates into the Shopify theme of the store, as demonstrated on a demo store.

Valen works on the real product page of a Shopify store, as demonstrated on a demo store.

Browse, look, ask

While browsing, shoppers can open a quick view of a product, as demonstrated on a demo store.

Shoppers can move between the quick product preview and the chat and back again without losing the product they were viewing, as demonstrated on a demo store.

Recommendations do not close off exploration. Valen offers product recommendations while keeping the catalog browsable for the shopper, as demonstrated on a demo store.

Valen also offers a results page that a store can enable for its visitors, as demonstrated on a demo store.

Outfits and suggestions

Shoppers can see a coordinated outfit in the quick view and on the product page, as demonstrated on a demo store.

The personalized outfit remains consistent as shoppers move between products, as demonstrated on a demo store.

On the product page, Valen presents an upsell in which both the text and the suggested products are written by the AI model, as demonstrated on a demo store.

A dedicated block invites shoppers to move up to a higher tier than the product they are considering, as demonstrated on a demo store.

Trying before deciding

The product page includes a button that opens the item's virtual try-on, as demonstrated on a demo store.

The customer can upload and use their own image to create an avatar or virtually try on an item during the conversation, as demonstrated on a demo store.

Valen lets shoppers create an avatar from a photo and automatically resume the virtual try-on, as demonstrated on a demo store.

The anonymous photo uploaded for the virtual try-on stays available while the shopper keeps browsing within the same session, as demonstrated on a demo store.

The try-on concerns the actual product. The virtual try-on selects the real variant of the product being tried on, as demonstrated on a demo store.

Shoppers can virtually try on one or several selected products together, as demonstrated on a demo store.

For the merchant, there is one more step. A store can ask visitors for their contact details before allowing further generations in the virtual try-on experience, as demonstrated on a demo store.

What is demonstrated today and what is not

Everything described above refers to capabilities observed on a demo store. This page does not include pricing, activation timelines or integrations other than Shopify.

To judge whether this flow suits your catalog, watching it run on a demo store is a sensible step. Each statement above carries a reference marker next to the sentence, so you can check it.

The easiest way to understand Valen is to see it on your catalog.

We prepare a demo on your real case, without changing your live store.

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